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Diagnostics, Volume 15, Issue 4 (February-2 2025) – 113 articles

Cover Story (view full-size image): Metabolic changes during pregnancy affect the blood components critical for diagnosing various pregnancy-related or non-pregnancy-related diseases. Reference values for laboratory parameters in pregnancy differ from those for non-pregnant women, but results are often reported using non-pregnant reference values, potentially leading to misinterpretation, additional diagnostics and unnecessary stress for pregnant women. The primary challenge in establishing reference intervals in pregnancy is the continuous metabolic changes. In addition, reference intervals should be evaluated in terms of their clinical significance for distinguishing physiologic from disease-related changes. The aim of this study is to establish reference values for common laboratory parameters in early pregnancy and to evaluate their clinically significant differences compared to non-pregnant reference intervals. View this paper
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12 pages, 1203 KiB  
Article
Deep Learning-Based Periapical Lesion Detection on Panoramic Radiographs
by Viktor Szabó, Kaan Orhan, Csaba Dobó-Nagy, Dániel Sándor Veres, David Manulis, Matvey Ezhov, Alex Sanders and Bence Tamás Szabó
Diagnostics 2025, 15(4), 510; https://doi.org/10.3390/diagnostics15040510 - 19 Feb 2025
Viewed by 678
Abstract
Background/Objectives: Our study aimed to determine the accuracy of the artificial intelligence-based Diagnocat system (DC) in detecting periapical lesions (PL) on panoramic radiographs (PRs). Methods: 616 teeth were selected from 357 panoramic radiographs, including 308 teeth with clearly visible periapical radiolucency and [...] Read more.
Background/Objectives: Our study aimed to determine the accuracy of the artificial intelligence-based Diagnocat system (DC) in detecting periapical lesions (PL) on panoramic radiographs (PRs). Methods: 616 teeth were selected from 357 panoramic radiographs, including 308 teeth with clearly visible periapical radiolucency and 308 without any periapical lesion. Three groups were generated: teeth with radiographic signs of caries (Group 1), teeth with coronal restoration (Group 2), and teeth with root canal filling (Group 3). The PRs were uploaded to the Diagnocat system for evaluation. The performance of the convolutional neural network in detecting PLs was assessed by its sensitivity, specificity, and positive and negative predictive values, as well as the diagnostic accuracy value. We investigated the possible effect of the palatoglossal air space (PGAS) on the evaluation of the AI tool. Results: DC identified periapical lesions in 240 (77.9%) cases out of the 308 teeth with PL and detected no PL in 68 (22.1%) teeth with PL. The AI-based system detected no PL in any of the groups without PL. The overall sensitivity, specificity, and diagnostic accuracy of DC were 0.78, 1.00, and 0.89, respectively. Considering these parameters for each group, Group 2 showed the highest values at 0.84, 1.00, and 0.95, respectively. Fisher’s Exact test showed that PGAS does not significantly affect (p = 1) the detection of PL in the upper teeth. The AI-based system showed lower probability values for detecting PL in the case of central incisors, wisdom teeth, and canines. The sensitivity and diagnostic accuracy of DC for detecting PL on canines showed lower values at 0.27 and 0.64, respectively. Conclusions: The CNN-based Diagnocat system can support the diagnosis of PL on PRs and serves as a decision-support tool during radiographic assessments. Full article
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16 pages, 2787 KiB  
Review
Interstitial Lung Abnormalities: Unraveling the Journey from Incidental Discovery to Clinical Significance
by Athena Gogali, Christos Kyriakopoulos and Konstantinos Kostikas
Diagnostics 2025, 15(4), 509; https://doi.org/10.3390/diagnostics15040509 - 19 Feb 2025
Viewed by 565
Abstract
Interstitial lung abnormalities (ILAs) are incidental radiologic abnormalities on chest computed tomography (CT) examination performed on people in whom interstitial lung disease (ILD) is not suspected. Despite the fact that most of these individuals are asymptomatic, ILAs are not synonymous with subclinical ILD, [...] Read more.
Interstitial lung abnormalities (ILAs) are incidental radiologic abnormalities on chest computed tomography (CT) examination performed on people in whom interstitial lung disease (ILD) is not suspected. Despite the fact that most of these individuals are asymptomatic, ILAs are not synonymous with subclinical ILD, as a subset of them have symptoms and lung function impairment. On the other hand, not all ILAs progress to clinically significant ILD. Specific imaging features and patterns have been proven more likely to progress, while some individuals may comprise a higher risk group for progression. Numerous studies have demonstrated that ILAs are not only associated with an increased risk of progression toward pulmonary fibrosis and fibrosis-related mortality but are also linked to a greater incidence of lung cancer and a higher rate of all-cause mortality. Considering that the systematic evaluation of large cohorts has shown a prevalence of ILAs up to 7% and that the natural history of ILAs is unclear, successful screening and appropriate monitoring of ILAs is of particular significance for earlier diagnosis, risk factor modification, and treatment. The present review aims to summarize the current knowledge on ILAs and highlight the need to define those at greatest risk of progression to ILD and worse clinical outcomes. Full article
(This article belongs to the Special Issue Respiratory Diseases: Diagnosis and Management)
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12 pages, 3398 KiB  
Article
Exploring Cardiac Sympathetic Denervation in Transthyretin-Mediated Hereditary Amyloidosis (ATTRv): Insights from 123I-mIBG Scintigraphy
by Maria Silvia De Feo, Chiara Cambieri, Eleonora Galosi, Viviana Frantellizzi, Cristina Chimenti, Marco Luigetti, Maria Ausilia Sciarrone, Francesca Graziani, Luca Leonardi, Beatrice Musumeci, Laura Libonati, Federica Moret, Edoardo D’Andrea, Matteo Di Giulio, Matteo Garibaldi, Francesca Forcina, Andrea Truini, Giuseppe De Vincentis, Maurizio Inghilleri and Marco Ceccanti
Diagnostics 2025, 15(4), 508; https://doi.org/10.3390/diagnostics15040508 - 19 Feb 2025
Viewed by 414
Abstract
Background/Objectives: Hereditary transthyretin-mediated amyloidosis (ATTRv) is a rare disease characterized by the deposition of amyloid in the heart and peripheral nerves, particularly affecting small fibers. This study aims to evaluate autonomic cardiac involvement in ATTRv. Methods: Twelve patients with ATTRv and twelve sex- [...] Read more.
Background/Objectives: Hereditary transthyretin-mediated amyloidosis (ATTRv) is a rare disease characterized by the deposition of amyloid in the heart and peripheral nerves, particularly affecting small fibers. This study aims to evaluate autonomic cardiac involvement in ATTRv. Methods: Twelve patients with ATTRv and twelve sex- and age-matched healthy subjects underwent 123I-mIBG scintigraphy to evaluate the early and late heart-to-mediastinum ratio (eH/M and lH/M), 99mTc-HDP bone scan scintigraphy, and neurophysiological assessments. Data were analyzed in relation to functional cardiac and neurologic scales (NYHA and FAP scales). Results: Patients with ATTRv exhibited significant cardiac denervation, as demonstrated by the reduction in early and late H/M ratios compared to the control group (eH/M: 1.48 ± 0.08 vs. 1.89 ± 0.05, p < 0.001; lH/M: 1.39 ± 0.08 vs. 2.01 ± 0.05, p < 0.001). Values of eH/M and lH/M < 1.6 effectively differentiated patients with ATTRv from the healthy controls. Cardiac denervation correlated with interventricular septal thickness and the Perugini score but was not related to neurophysiological assessments or NYHA and FAP scales. Conclusions: Ultimately, 123I-mIBG scintigraphy is an effective tool for assessing cardiac denervation in patients with ATTRv. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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11 pages, 672 KiB  
Article
Association Between Mandibular Cortical Erosion and Bone Mineral Density Assessed by Phalangeal Ultrasound and Dual Energy X-Ray Absorptiometry in Spanish Women
by Maria L. Canal-Macías, Vicente Vera-Rodríguez, Olga Leal-Hernández, Julián Fernando Calderón-García, Raúl Roncero-Martín, Francisco García-Blázquez, Sergio Rico-Martín, Fidel López-Espuela, José M. Morán, Juan Fabregat-Fernández, Jesús M. Lavado-García and María Pedrera-Canal
Diagnostics 2025, 15(4), 507; https://doi.org/10.3390/diagnostics15040507 - 19 Feb 2025
Viewed by 303
Abstract
Background and Objectives: Analysing the characteristics of the mandibular bone through panoramic radiographs could be useful as a prescreening tool for detecting individuals with osteoporosis. The aims of this study were to evaluate the possible associations between the mandibular cortical index (MCI) [...] Read more.
Background and Objectives: Analysing the characteristics of the mandibular bone through panoramic radiographs could be useful as a prescreening tool for detecting individuals with osteoporosis. The aims of this study were to evaluate the possible associations between the mandibular cortical index (MCI) and bone mineral density (BMD) in various bone regions, to investigate whether BMD better identifies moderate–severe mandibular erosion or severe mandibular erosion, and to establish BMD cut-off points to identify individuals with moderate or severe mandibular cortical erosion. Methods: This study analysed 179 Spanish Caucasian women between September 2021 and June 2024. Bone measurements, including amplitude-dependent speed of sound (Ad-SOS), the ultrasound bone profiler index (UBPI), and the bone transmission time (BTT), were obtained via dual energy X-ray absorptiometry (DXA) for the femoral neck, lumbar spine, and trochanter and quantitative bone ultrasound (QUS) for the phalanx. The MCI was calculated via the Klemetti index from panoramic radiographs. Results: According to the Klemetti index classification, lower QUS measurements in the phalanx and DXA measurements in the femoral neck, trochanter, and lumbar spine were found in women with poorer mandibular cortical bone quality. Our results revealed that, compared with moderate cortical erosion, all the BMD measures had better AUCs when identifying severe cortical erosion. Moreover, femoral neck BMD had the largest area under the curve (AUC = 0.719) for detecting severe mandibular cortical erosion, suggesting a cut-off of <0.703 gr/cm2. Finally, predictor analysis of osteoporosis revealed that moderate and severe mandibular cortical erosion, compared with an uninjured mandibular cortical area, was independently associated with a diagnosis of osteoporosis. Conclusions: In conclusion, MCI was associated with BMD measurements assessed by QUS and DXA in various bone regions. Our results suggest that the Klemetti index could be used as a predictor of osteoporosis and fracture risk. Full article
(This article belongs to the Special Issue Advances in the Diagnosis and Management of Bone Diseases in 2025)
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17 pages, 10153 KiB  
Article
Pitfalls in Ultrasound Diagnosis of Vascular Malformations: A Retrospective Review of 14 Nonvascular Tumors Treated as Vascular Malformations
by Shintaro Mitamura, Kosuke Ishikawa, Yuki Sasaki, Naoki Murao and Satoru Sasaki
Diagnostics 2025, 15(4), 506; https://doi.org/10.3390/diagnostics15040506 - 19 Feb 2025
Viewed by 285
Abstract
Background/Objectives: Vascular malformations form masses in subcutaneous and muscular tissues throughout the body and are occasionally misdiagnosed as subcutaneous nonvascular tumors. Understanding and differentiating their clinical and imaging features are crucial due to their different treatments and prognoses. This study aimed to report [...] Read more.
Background/Objectives: Vascular malformations form masses in subcutaneous and muscular tissues throughout the body and are occasionally misdiagnosed as subcutaneous nonvascular tumors. Understanding and differentiating their clinical and imaging features are crucial due to their different treatments and prognoses. This study aimed to report cases of nonvascular tumors that were initially misdiagnosed and treated as vascular malformations. Methods: In this retrospective observational study, we enrolled 14 (1.8%) patients with pathologically diagnosed nonvascular tumors from among 536 patients with 759 lesions of clinically diagnosed vascular malformations. Results: The average age at the initial visit was 41.9 years, with a male-to-female ratio of 3:11. Tumor locations included the lower limb in seven patients, the upper limb in five patients, and the trunk and head in one patient each. Ultrasound evaluation revealed 12 lesions of low-flow vascular malformations and two lesions of high-flow vascular malformations. These findings led to an initial diagnosis of venous or lymphatic malformations in 12 patients and arteriovenous malformations in two patients. Based on the clinical diagnosis, treatments administered before tumor resection included sclerotherapy in four patients and transcatheter arterial embolization in one patient. All patients underwent tumor resection. The final histopathological diagnoses included schwannoma in six patients, epidermal cyst and angiomyoma in two patients each, and other types of tumors in four patients. The average time from initial diagnosis to final histopathological diagnosis was 370 days. Conclusions: Multimodal diagnostic strategies, especially the use of ultrasound, enhance the differentiation between vascular malformations and nonvascular tumors. Full article
(This article belongs to the Special Issue Ultrasound in the Diagnosis and Management of Skin Diseases)
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12 pages, 916 KiB  
Article
Epidemiology of Celiac Disease in Cantabria, Spain
by Alejandra Blanco-García, Marcos López-Hoyos, Juan Irure-Ventura and Pedro Muñoz-Cacho
Diagnostics 2025, 15(4), 505; https://doi.org/10.3390/diagnostics15040505 - 19 Feb 2025
Viewed by 258
Abstract
Background/Objectives: Celiac disease is an enteropathy caused by a systemic autoimmune process of genetic predisposition to the ingestion of gluten. It is a public health problem worldwide because there are often long delays between the onset of symptoms and diagnosis. Our main [...] Read more.
Background/Objectives: Celiac disease is an enteropathy caused by a systemic autoimmune process of genetic predisposition to the ingestion of gluten. It is a public health problem worldwide because there are often long delays between the onset of symptoms and diagnosis. Our main objective is to describe the prevalence of celiac disease in our community, Cantabria, located in northern Spain. We start with an analytical database, with data collected from 2007 to 2016. We describe the possible differences in terms of age, sex, and geographic areas; family aggregation; and disease-associated comorbidities. Methods: The data for this research were obtained from a database from the Immunology Laboratory at the Marqués de Valdecilla University Hospital (HUMV), a reference laboratory for the entire Autonomous Community of Cantabria, located in northern Spain. The data were obtained from the analytical results collected from this database from January 2007 to January 2016, within this Community of 566,898 inhabitants in 2016. The data collected in this database consist of immunological tests, HLA-DQ2 or HLA-DQ8 antigenic patterns, focused on diagnosing celiac disease in the community of Cantabria, which have been positive during this period of time. Results: The prevalence of celiac disease in Cantabria is 0.14%. The mean age of diagnosis was 17.92 years. A higher percentage has been observed in the female sex and in children. Conclusions: The present study shows that celiac disease in the community of Cantabria is underdiagnosed. It is an important fact to consider when evaluating patients with symptoms that could be related to this disease to avoid increased use of medical consultations until a diagnosis is reached, in addition to avoiding long-term complications with this disease. Full article
(This article belongs to the Section Pathology and Molecular Diagnostics)
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15 pages, 4261 KiB  
Review
Trends in Clinical Cardiac Photon-Counting Detector CT Research: A Comprehensive Bibliometric Analysis
by Arosh S. Perera Molligoda Arachchige, Federica Catapano, Costanza Lisi, Jad El Choueiri, Francesca Pellicanò, Stefano Figliozzi, Letterio S. Politi and Marco Francone
Diagnostics 2025, 15(4), 504; https://doi.org/10.3390/diagnostics15040504 - 19 Feb 2025
Viewed by 468
Abstract
Photon-counting detector computed tomography (PCD-CT) represents a significant advancement in radiological imaging, offering substantial potential for cardiac applications that remain partially underexplored. This bibliometric analysis investigates the evolution and current clinical application of cardiac PCD-CT by examining research trends from 2019 to 2024. [...] Read more.
Photon-counting detector computed tomography (PCD-CT) represents a significant advancement in radiological imaging, offering substantial potential for cardiac applications that remain partially underexplored. This bibliometric analysis investigates the evolution and current clinical application of cardiac PCD-CT by examining research trends from 2019 to 2024. The analysis aims to understand the development of this technology, its clinical implications, and future directions. A comprehensive literature search was conducted using databases such as PubMed, EMBASE, Scopus, and Google Scholar, yielding 984 records. After removing duplicates and applying inclusion criteria, 81 studies were included in the final analysis. These studies primarily focused on coronary artery calcium scoring, coronary atherosclerotic plaque assessment, and coronary artery stenosis quantification. The findings indicate a significant upward trend in the number of publications, peaking in 2023. The bibliometric analysis revealed that the USA, Germany, and Switzerland are the leading contributors to PCD-CT research, with prominent institutions like the Mayo Clinic and the University of Zurich driving advancements in the field. The NAEOTOM Alpha by Siemens Healthineers, being the only commercially available PCD-CT model, highlights its central role in cardiac imaging studies. Funding for PCD-CT research came from various sources, including industry leaders like Siemens and Bayer, as well as governmental and academic institutions. The analysis also identified several challenges that PCD-CT research faces, including the need for larger patient cohorts and broader geographical representation. In conclusion, the rapid growth of cardiac PCD-CT research underscores its transformative potential in clinical practice. Continued investment, collaboration, and extensive research are essential to fully harness the benefits of PCD-CT. Full article
(This article belongs to the Special Issue Latest Advances and Prospects in Cardiovascular Imaging)
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19 pages, 10629 KiB  
Article
Exploring Fat Fraction and Vertebral Bone Quality Score in Lumbar Spine Magnetic Resonance Imaging: A Cross-Sectional Study on Associations and Clinical Implication
by Sunghoon Park, Jinwoo Hwang, Kyu-Sung Kwack, Kyu Hong Lee and Jae Sung Yun
Diagnostics 2025, 15(4), 503; https://doi.org/10.3390/diagnostics15040503 - 19 Feb 2025
Viewed by 253
Abstract
Background/Objectives: While gradient-echo (GRE)-based chemical shift-encoded magnetic resonance imaging (CSE-MRI) offers precise method for measuring adiposity in bone marrow, its limitation lies in the need for additional imaging. On the other hand, spin-echo (SE)-based CSE-MRI can seamlessly integrate into conventional protocols. Recently, a [...] Read more.
Background/Objectives: While gradient-echo (GRE)-based chemical shift-encoded magnetic resonance imaging (CSE-MRI) offers precise method for measuring adiposity in bone marrow, its limitation lies in the need for additional imaging. On the other hand, spin-echo (SE)-based CSE-MRI can seamlessly integrate into conventional protocols. Recently, a novel technique called the vertebral bone quality (VBQ) score has been introduced. The objective of this study was to investigate the association between fat fraction (FF) measured by GRE-based CSE-MRI (FFGRE) and FF measured by SE-based CSE-MRI (FFSE) or the VBQ score. Methods: A retrospective study with 344 patients assessed the correlation between FF and the VBQ score and each measurement’s correlation with age using Pearson’s correlation (r). Concordance between FFGRE and FFSE was assessed using Lin’s concordance correlation coefficient (ρc). Vertebral lesions (n = 41) were categorized as benign and malignant, and the Mann–Whitney U test was used for comparison. Results: FFGRE demonstrated strong positive correlations with FFSE and the VBQ score (r = 0.861 and 0.708, respectively). However, the concordance between FFGRE and FFSE was poor (ρc = 0.295). All measurements moderately correlated with age (FFGRE, r = 0.583; FFSE, r = 0.477; VBQ score, r = 0.468). FF was significantly higher in benign lesions (FFGRE, p = 0.004; FFSE, p = 0.007), while the VBQ score did not show statistically significant differences between the two groups (p = 0.089). Conclusions: FFGRE exhibited a high correlation with the VBQ score. FFSE showed a strong correlation with FFGRE, but replacing FFGRE with FFSE may be challenging. Both FF and the VBQ score moderately correlated with age. FF demonstrated statistically significant differences between benign and malignant lesions, while the VBQ score did not provide a distinguishable separation. Full article
(This article belongs to the Special Issue Imaging in Muscle and Bone Diseases)
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10 pages, 269 KiB  
Article
Comparative Clinical and Histopathological Study of Oral Leukoplakia in Smokers and Non-Smokers
by Andrei-Eduard Șerban, Ioanina Părlătescu, Elena Milanesi, Iulia Andreea Pelisenco, Maria Dobre, Mariana Costache, Șerban Țovaru and Paula Perlea
Diagnostics 2025, 15(4), 502; https://doi.org/10.3390/diagnostics15040502 - 19 Feb 2025
Viewed by 244
Abstract
Background/Objectives: Oral leukoplakia (OLK) is an oral mucosal lesion classified in the oral potentially malignant disorder group and is associated with an increased risk of malignant transformation (MT). The aim of this study was to compare the clinical and histopathological features of two [...] Read more.
Background/Objectives: Oral leukoplakia (OLK) is an oral mucosal lesion classified in the oral potentially malignant disorder group and is associated with an increased risk of malignant transformation (MT). The aim of this study was to compare the clinical and histopathological features of two OLK groups, a group of smokers and a group of non-smokers. Methods: In this retrospective study, a cohort of 154 patients with OLK was divided into two groups based on the presence of smoking as a major risk factor. OLK diagnoses were established via clinical and histopathological examination. Results: Females were more abundant in the non-smoking group than in the smoking group, where males were more abundant (p < 0.001). The average age of the smokers was lower than that of the non-smokers (p = 0.003). In the smokers, the buccal mucosa was most frequently affected, while in the non-smokers, the gums and the tongue were primarily involved (p = 0.016). In female smokers, involvement of the buccal area and multiple-site involvement were statistically significantly more frequently observed compared to that in female non-smokers (p = 0.006). Non-dysplastic lesions were predominant in both groups, with severe dysplasia observed more frequently in the non-smokers than in the smokers. MT was higher in the non-smoker group compared to that in the smoker group. Conclusions: OLK in smokers is different from OLK in non-smokers concerning female gender involvement, site location, the number of lesions, and the MT rate. Full article
(This article belongs to the Special Issue Advances in Oral Diseases Diagnosis and Management: 2nd Edition)
34 pages, 2988 KiB  
Article
Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data
by Salha Al-Ahmari and Farrukh Nadeem
Diagnostics 2025, 15(4), 501; https://doi.org/10.3390/diagnostics15040501 - 19 Feb 2025
Viewed by 377
Abstract
Background: Surgical site infections (SSIs) lead to higher hospital readmission rates and healthcare costs, representing a significant global healthcare burden. Machine learning (ML) has demonstrated potential in predicting SSIs; however, the challenge of addressing imbalanced class ratios remains. Objectives: The aim [...] Read more.
Background: Surgical site infections (SSIs) lead to higher hospital readmission rates and healthcare costs, representing a significant global healthcare burden. Machine learning (ML) has demonstrated potential in predicting SSIs; however, the challenge of addressing imbalanced class ratios remains. Objectives: The aim of this study is to evaluate and enhance the predictive capabilities of machine learning models for SSIs by assessing the effects of feature selection, resampling techniques, and hyperparameter optimization. Methods: Using routine SSI surveillance data from multiple hospitals in Saudi Arabia, we analyzed a dataset of 64,793 surgical patients, of whom 1632 developed SSI. Seven machine learning algorithms were created and tested: Decision Tree (DT), Gaussian Naive Bayes (GNB), Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), Stochastic Gradient Boosting (SGB), and K-Nearest Neighbors (KNN). We also improved several resampling strategies, such as undersampling and oversampling. Grid search five-fold cross-validation was employed for comprehensive hyperparameter optimization, in conjunction with balanced sampling techniques. Features were selected using a filter method based on their relationships with the target variable. Results: Our findings revealed that RF achieves the highest performance, with an MCC of 0.72. The synthetic minority oversampling technique (SMOTE) is the best-performing resampling technique, consistently enhancing the performance of most machine learning models, except for LR and GNB. LR struggles with class imbalance due to its linear assumptions and bias toward the majority class, while GNB’s reliance on feature independence and Gaussian distribution make it unreliable for under-represented minority classes. For computational efficiency, the Instance Hardness Threshold (IHT) offers a viable alternative undersampling technique, though it may compromise performance to some extent. Conclusions: This study underscores the potential of ML models as effective tools for assessing SSI risk, warranting further clinical exploration to improve patient outcomes. By employing advanced ML techniques and robust validation methods, these models demonstrate promising accuracy and reliability in predicting SSI events, even in the face of significant class imbalances. In addition, using MCC in this study ensures a more reliable and robust evaluation of the model’s predictive performance, particularly in the presence of an imbalanced dataset, where other metrics may fail to provide an accurate evaluation. Full article
(This article belongs to the Special Issue Artificial Intelligence for Clinical Diagnostic Decision Making)
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11 pages, 511 KiB  
Article
Role of Cervical Elastography in Predicting Progression to Active Phase in Labor Induction in Term Nulliparous Women
by Su-Jung Hong, Young-Mi Jung, Jeong-Eun Hwang, Ki-Su Lee, Geum-Joon Cho and Min-Jeong Oh
Diagnostics 2025, 15(4), 500; https://doi.org/10.3390/diagnostics15040500 - 19 Feb 2025
Viewed by 281
Abstract
Background/Objectives: Several factors, such as age, parity, body mass index, a favorable cervix, and fetal birth weight, are known to be related to the success of labor induction. With advancements in ultrasound technology, these factors have been studied to predict the success of [...] Read more.
Background/Objectives: Several factors, such as age, parity, body mass index, a favorable cervix, and fetal birth weight, are known to be related to the success of labor induction. With advancements in ultrasound technology, these factors have been studied to predict the success of vaginal delivery. However, there has been limited research on ultrasound measures that can effectively predict entry into the active phase of labor. Thus, we aimed to assess the use of cervical quantitative strain sonoelastography to predict entry into the active phase of labor induction. Methods: This prospective study included nulliparous term singleton pregnant women scheduled for labor induction between July 2018 and July 2022. Sonographic parameters were obtained using a transvaginal ultrasound approach with semiautomatic quantitative strain elastography software (E-Cervix; Samsung WS80A ultrasound device with a VR5-9 transducer, Samsung Medison Co., Ltd., Seoul, Republic of Korea), which provides objective measurements through the pixel-based analysis of elastographic maps. Univariate and multivariate logistic regression and area-under-the-curve analyses were used to evaluate the diagnostic performance of the variables under consideration in predicting the onset of the active phase of labor. Results: A total of 71 women were included in the study, and 29 progressed to the active phase. The cervical length, angle of progression, and mean strain from the external cervical os were significantly associated with successful entry into the active phase. The receiver operating characteristic (ROC) curve model also indicated a higher predictive value when the elastographic parameters were combined. Conclusions: Cervical elastography can be used as a sonographic index to predict progression to the active phase of labor. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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20 pages, 2628 KiB  
Review
Confocal Laser Endomicroscopy: Enhancing Intraoperative Decision Making in Neurosurgery
by Francesco Carbone, Nicola Pio Fochi, Giuseppe Di Perna, Arthur Wagner, Jürgen Schlegel, Elena Ranieri, Uwe Spetzger, Daniele Armocida, Fabio Cofano, Diego Garbossa, Augusto Leone and Antonio Colamaria
Diagnostics 2025, 15(4), 499; https://doi.org/10.3390/diagnostics15040499 - 19 Feb 2025
Viewed by 427
Abstract
Brain tumors, both primary and metastatic, represent a significant global health burden due to their high incidence, mortality, and the severe neurological deficits they frequently cause. Gliomas, especially high-grade gliomas (HGGs), rank among the most aggressive and lethal neoplasms, with only modest gains [...] Read more.
Brain tumors, both primary and metastatic, represent a significant global health burden due to their high incidence, mortality, and the severe neurological deficits they frequently cause. Gliomas, especially high-grade gliomas (HGGs), rank among the most aggressive and lethal neoplasms, with only modest gains in long-term survival despite extensive molecular research and established standard therapies. In neurosurgical practice, maximizing the extent of safe resection is a principal strategy for improving clinical outcomes. Yet, the infiltrative nature of gliomas often complicates the accurate delineation of tumor margins. Confocal laser endomicroscopy (CLE), originally introduced in gastroenterology, has recently gained prominence in neuro-oncology by enabling real-time, high-resolution cellular imaging during surgery. This technique allows for intraoperative tumor characterization and reduces dependence on time-consuming frozen-section analyses. Recent technological advances, including device miniaturization and second-generation CLE systems, have substantially improved image quality and diagnostic utility. Furthermore, integration with deep learning algorithms and telepathology platforms fosters automated image interpretation and remote expert consultations, thereby accelerating surgical decision making and enhancing diagnostic consistency. Future work should address remaining challenges, such as mitigating motion artifacts, refining training protocols, and broadening the range of applicable fluorescent probes, to solidify CLE’s role as a critical intraoperative adjunct in neurosurgical oncology. Full article
(This article belongs to the Special Issue Confocal Microscopy: Clinical Impacts and Innovation, 2nd Edition)
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9 pages, 538 KiB  
Article
Adult Congenital Heart Disease in Serbia: Insights from a Single-Center Registry
by Aleksandra Nikolić, Stefan Veljković, Jovana Lakčević, Ana Peruničić, Armin Šljivo, Miloš Babić, Marko Nikolić, Slobodan Tomić, Dragana Radoičić, Mihajlo Farkić, Darko Boljević, Sanja Vučinić, Sanja Kablar and Milovan Bojić
Diagnostics 2025, 15(4), 498; https://doi.org/10.3390/diagnostics15040498 - 19 Feb 2025
Viewed by 317
Abstract
Background/Objectives: Congenital heart disease (CHD), affecting approximately 1% of live births, has transitioned to a chronic condition due to advances in diagnostics and surgery, resulting in an increasing adult congenital heart disease (ACHD) population. This study characterizes the clinical and demographic profiles of [...] Read more.
Background/Objectives: Congenital heart disease (CHD), affecting approximately 1% of live births, has transitioned to a chronic condition due to advances in diagnostics and surgery, resulting in an increasing adult congenital heart disease (ACHD) population. This study characterizes the clinical and demographic profiles of ACHD patients in Serbia, focusing on congenital anomalies, mortality rates, and key clinical factors to identify opportunities for improving care and outcomes. Methods: This observational single-center study was conducted at the Cardiovascular Institute “Dedinje” in Belgrade, Serbia, involving patients diagnosed or treated for CHD between 2006 and 2022. Results: A total of 1532 patients were included in the study, with common diagnoses including atrial septal defects (ASD) (47.65%) and ventricular septal defects (VSD) (13.19%). The mean patient age was 48.31 years, with a slight predominance of females (57.21%). The complexity of CHD was categorized as mild (54.6%), moderate (36.5%), and severe (6.3%). The mortality rate was 4.2%, with higher rates observed in conditions like Ebstein anomaly (17.78%) and congenital aortic stenosis (11.76%). Conclusions: This study provides a comprehensive overview of the current state of ACHD management in Serbia, highlighting the high prevalence of ASD and VSD among patients, the challenges associated with moderate and severe CHD, and the notable mortality rates for certain conditions. The findings underscore the importance of improving early detection, individualized treatment plans, and multidisciplinary care to enhance patient outcomes in this growing population. Full article
(This article belongs to the Special Issue Advances in the Diagnosis and Management of Cardiovascular Diseases)
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13 pages, 1488 KiB  
Article
Performance of Large Language Models ChatGPT and Gemini on Workplace Management Questions in Radiology
by Patricia Leutz-Schmidt, Viktoria Palm, René Michael Mathy, Martin Grözinger, Hans-Ulrich Kauczor, Hyungseok Jang and Sam Sedaghat
Diagnostics 2025, 15(4), 497; https://doi.org/10.3390/diagnostics15040497 - 19 Feb 2025
Viewed by 397
Abstract
Background/Objectives: Despite the growing popularity of large language models (LLMs), there remains a notable lack of research examining their role in workplace management. This study aimed to address this gap by evaluating the performance of ChatGPT-3.5, ChatGPT-4.0, Gemini, and Gemini Advanced as [...] Read more.
Background/Objectives: Despite the growing popularity of large language models (LLMs), there remains a notable lack of research examining their role in workplace management. This study aimed to address this gap by evaluating the performance of ChatGPT-3.5, ChatGPT-4.0, Gemini, and Gemini Advanced as famous LLMs in responding to workplace management questions specific to radiology. Methods: ChatGPT-3.5 and ChatGPT-4.0 (both OpenAI, San Francisco, CA, USA) and Gemini and Gemini Advanced (both Google Deep Mind, Mountain View, CA, USA) generated answers to 31 pre-selected questions on four different areas of workplace management in radiology: (1) patient management, (2) imaging and radiation management, (3) learning and personal development, and (4) administrative and department management. Two readers independently evaluated the answers provided by the LLM chatbots. Three 4-point scores were used to assess the quality of the responses: (1) overall quality score (OQS), (2) understandabilityscore (US), and (3) implementability score (IS). The mean quality score (MQS) was calculated from these three scores. Results: The overall inter-rater reliability (IRR) was good for Gemini Advanced (IRR 79%), Gemini (IRR 78%), and ChatGPT-3.5 (IRR 65%), and moderate for ChatGPT-4.0 (IRR 54%). The overall MQS averaged 3.36 (SD: 0.64) for ChatGPT-3.5, 3.75 (SD: 0.43) for ChatGPT-4.0, 3.29 (SD: 0.64) for Gemini, and 3.51 (SD: 0.53) for Gemini Advanced. The highest OQS, US, IS, and MQS were achieved by ChatGPT-4.0 in all categories, followed by Gemini Advanced. ChatGPT-4.0 was the most consistently superior performer and outperformed all other chatbots (p < 0.001–0.002). Gemini Advanced performed significantly better than Gemini (p = 0.003) and showed a non-significant trend toward outperforming ChatGPT-3.5 (p = 0.056). ChatGPT-4.0 provided superior answers in most cases compared with the other LLM chatbots. None of the answers provided by the chatbots were rated “insufficient”. Conclusions: All four LLM chatbots performed well on workplace management questions in radiology. ChatGPT-4.0 outperformed ChatGPT-3.5, Gemini, and Gemini Advanced. Our study revealed that LLMs have the potential to improve workplace management in radiology by assisting with various tasks, making these processes more efficient without requiring specialized management skills. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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14 pages, 428 KiB  
Review
Primary Sinonasal Mucosal Melanoma: A Narrative Review
by Nikola Todorovic, Petar Djurkovic, Aleksandar Krstic, Nada Tomanovic, Pavle Milanovic, Djurdjina Kablar, Zlata Rajkovic Pavlovic, Momir Stevanovic, Jovana Milanovic, Aleksandra Arnaut, Ivan Ljubisavljevic, Dragica Selakovic, Gvozden Rosic and Milica Vasiljevic
Diagnostics 2025, 15(4), 496; https://doi.org/10.3390/diagnostics15040496 - 18 Feb 2025
Viewed by 411
Abstract
Mucosal melanomas (MMs) are under-researched tumors with a poor prognosis that arise from melanocytes found in the mucous membranes at different anatomical locations throughout the body. MMs are an uncommon yet highly aggressive tumor that typically develops on mucosal surfaces, predominantly in the [...] Read more.
Mucosal melanomas (MMs) are under-researched tumors with a poor prognosis that arise from melanocytes found in the mucous membranes at different anatomical locations throughout the body. MMs are an uncommon yet highly aggressive tumor that typically develops on mucosal surfaces, predominantly in the head and neck region. MM of the head and neck occurs in 8–10% of all head and neck melanomas. It most commonly affects the mucosa of the nasal cavity and paranasal sinuses (75%), followed by the oral cavity mucosa (25%). A family history and the presence of mucosal nevi are associated with the occurrence of MM. Inhaled and dietary carcinogens are also linked to the development of sinonasal melanoma, much like other malignancies of the nasal cavity. Overexpression of the C-KIT gene is found in more than 80% of all primary mucosal melanomas, with somatic mutations in 10–30% of cases. The presence of these genetic alterations is also reflected in recent clinical studies of specific gene inhibitors that have proven efficiency in the systemic therapy of melanoma. There are various treatment modalities for MM. Surgical therapy involves en bloc surgical resection with a macroscopically visible and palpable mucosal margin of 1.5–2 cm. Partial resection of the maxilla may be considered if it ensures adequate tumor-free margine. Because of its rarity, outcome data for locally advanced head and neck MM is limited and primarily derived from retrospective studies with small case numbers. This review aims to update and summarize findings from clinical trials, prospective observational studies, and retrospective studies, while also exploring future directions for multimodal treatment approaches in this area. Full article
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8 pages, 1876 KiB  
Case Report
Necrotizing Fasciitis of the Forearm in a 20-Week Pregnant Woman: Case Report and Literature Review
by Andreea Mironică, Bogdan Ioncioaia, Botond Janko, George Călin Dindelegan, Alexandru Ilie-Ene, Lucia-Ioana Furcovici, Balazs Sarkadi and Claudiu Ioan Filip
Diagnostics 2025, 15(4), 495; https://doi.org/10.3390/diagnostics15040495 - 18 Feb 2025
Viewed by 294
Abstract
Background and Clinical Significance: Necrotizing fasciitis (NF) is a rare skin and soft tissue infection that progresses rapidly to necrosis and can be life-threatening. The incidence varies by geographic region but is generally low, with a mortality rate ranging between 11 and 22%. [...] Read more.
Background and Clinical Significance: Necrotizing fasciitis (NF) is a rare skin and soft tissue infection that progresses rapidly to necrosis and can be life-threatening. The incidence varies by geographic region but is generally low, with a mortality rate ranging between 11 and 22%. Early diagnosis and treatment are crucial for survival, particularly in patients with underlying conditions such as immune suppression, diabetes, obesity, trauma, recent surgical procedures, or renal pathology. However, the relationship between pregnancy and NF has not been extensively studied. Case Presentation: The case presented involves a 37-year-old, 20-week pregnant woman, who presented to the emergency department with septic shock and left forearm compartment syndrome. She reported no recent trauma or obvious source of contamination. The patient was immediately admitted and taken to the operating room. During admission, she underwent three surgeries, consisting of staged debridement, fasciectomy, and vacuum therapy and skin grafting. The patient was carefully monitored in the intensive care unit and multiple obstetrical consultations were performed to monitor the fetus. The patient was discharged with a fully integrated graft and with the donor area undergoing epithelialization. Conclusions: This case highlights the importance of early diagnosis and treatment of NF, particularly in high-risk patients, and the need for further research into the relationship between pregnancy and NF. Full article
(This article belongs to the Section Clinical Diagnosis and Prognosis)
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14 pages, 269 KiB  
Review
Exploring the TyG Index and the Homeostasis Model Assessment of Insulin Resistance as Insulin Resistance Markers: Implications for Fibromyalgia Management and Understanding—A Narrative Review
by Amirsaeed Samavarchitehrani, Filiz Mercantepe, Amir Hossein Behnoush and Aleksandra Klisic
Diagnostics 2025, 15(4), 494; https://doi.org/10.3390/diagnostics15040494 - 18 Feb 2025
Viewed by 395
Abstract
Fibromyalgia (FM) is a chronic musculoskeletal disease with a higher prevalence among women. To date, there has been no definitive laboratory or imaging assessment for FM, and hence, the diagnosis criteria for FM remained based on subjective assessment of symptoms with high overlap [...] Read more.
Fibromyalgia (FM) is a chronic musculoskeletal disease with a higher prevalence among women. To date, there has been no definitive laboratory or imaging assessment for FM, and hence, the diagnosis criteria for FM remained based on subjective assessment of symptoms with high overlap with other rheumatological disorders. Many patients with FM suffer from metabolic disorders leading to insulin resistance (IR). There have been several methods to assess IR, among which the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and the triglyceride–glucose (TyG) index have been used more frequently, with the latter being more available and cost-effective. As higher IR has been reported for patients with FM with various mechanisms, in this review, we sought to investigate the association between IR and FM using the current evidence. One of the possible underlying mechanisms of this association might be mitochondrial dysfunction and oxidative stress observed in IR conditions and its role in FM. Studies have also shown that IR indices are higher in patients with FM, compared to healthy controls, while higher HOMA-IR levels were also reported for higher severities of FM based on Fibromyalgia Impact Questionnaire—Revised (FIQR) scores. While these findings suggest the possible involvement of IR in FM pathophysiology and add to the value of IR measurement in FM clinical assessment, further large-scale studies are needed to establish a definitive causal association between them. Full article
(This article belongs to the Special Issue Advances in the Laboratory Diagnosis)
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10 pages, 1629 KiB  
Article
Comparison of the Intraocular Pressure-Lowering Effect of Minimally Invasive Glaucoma Surgery (MIGS) iStent Inject W and Hydrus—The 12-Month Real-Life Data
by Cedric Weich, Julian Alexander Zimmermann, Jens Julian Storp, Ralph-Laurent Merté, Nicole Eter and Viktoria Constanze Brücher
Diagnostics 2025, 15(4), 493; https://doi.org/10.3390/diagnostics15040493 - 18 Feb 2025
Viewed by 384
Abstract
Background/Objectives: To compare the efficacy and safety of Hydrus® Microstent and iStent inject® W implants, in combination with phacoemulsification, for lowering intraocular pressure (IOP) in patients with glaucoma in a real-world clinical setting. Methods: This retrospective, single-center study analyzed medical records [...] Read more.
Background/Objectives: To compare the efficacy and safety of Hydrus® Microstent and iStent inject® W implants, in combination with phacoemulsification, for lowering intraocular pressure (IOP) in patients with glaucoma in a real-world clinical setting. Methods: This retrospective, single-center study analyzed medical records of glaucoma patients who underwent either Hydrus® Microstent or iStent inject® W implantation combined with cataract surgery at the University Hospital Muenster, Germany. Key outcome measures included absolute and relative IOP reduction, reduction in topical antiglaucoma medication use, overall success rate, and complications. A total of 32 eyes were analyzed, 16 in each treatment group, with a 12-month follow-up. Results: Both groups demonstrated significant postoperative IOP reduction (Hydrus: p < 0.001; iStent inject® W: p = 0.032). The Hydrus group achieved significantly greater relative IOP reduction compared to the iStent inject® W group (p = 0.043). The Hydrus group also showed a significant reduction in daily antiglaucoma medication use (p = 0.002), whereas the iStent inject® W group did not achieve statistical significance in this regard (p = 0.054). The overall success rate was higher in the Hydrus group (38%) than in the iStent inject® W group (13%), though the difference was not statistically significant (p = 0.102). No device-related complications were observed in either group. Conclusions: The Hydrus® Microstent demonstrated superior IOP reduction and a more significant reduction in the need for antiglaucoma medications compared to the iStent inject® W in a real-world setting. These findings support the use of the Hydrus implant as an effective and safe micro-invasive glaucoma surgery (MIGS) option for patients with mild to moderate POAG. Further studies with larger patient populations and long-term follow-up are warranted to confirm the efficacy in patients with PEX and advanced glaucoma. Full article
(This article belongs to the Special Issue Glaucoma: Diagnosis and Management)
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16 pages, 1995 KiB  
Article
Liquid Biopsy Based Bladder Cancer Diagnostic by Machine Learning
by Ērika Bitiņa-Barlote, Dmitrijs Bļizņuks, Sanda Siliņa, Mihails Šatcs, Egils Vjaters, Vilnis Lietuvietis, Miki Nakazawa-Miklaševiča, Juris Plonis, Edvīns Miklaševičs, Zanda Daneberga and Jānis Gardovskis
Diagnostics 2025, 15(4), 492; https://doi.org/10.3390/diagnostics15040492 - 18 Feb 2025
Viewed by 474
Abstract
Background/Objectives: The timely diagnostics of bladder cancer is still a challenge in clinical settings. The reliability of conventional testing methods does not reach desirable accuracy and sensitivity, and it has an invasive nature. The present study examines the application of machine learning [...] Read more.
Background/Objectives: The timely diagnostics of bladder cancer is still a challenge in clinical settings. The reliability of conventional testing methods does not reach desirable accuracy and sensitivity, and it has an invasive nature. The present study examines the application of machine learning to improve bladder cancer diagnostics by integrating miRNA expression levels, demographic routine laboratory test results, and clinical data. We proposed that merging these datasets would enhance diagnostic accuracy. Methods: This study combined molecular biology methods for liquid biopsy, routine clinical data, and application of machine learning approach for the acquired data analysis. We evaluated urinary exosome miRNA expression data in combination with patient test results, as well as clinical and demographic data using three machine learning models: Random Forest, SVM, and XGBoost classifiers. Results: Based solely on miRNA data, the SVM model achieved an ROC curve area of 0.75. Patient analysis’ clinical and demographic data obtained ROC curve area of 0.80. Combining both data types enhanced performance, resulting in an F1 score of 0.79 and an ROC of 0.85. The feature importance analysis identified key predictors, including erythrocytes in urine, age, and several miRNAs. Conclusions: Our findings indicate the potential of a multi-modal approach to improve the accuracy of bladder cancer diagnosis in a non-invasive manner. Full article
(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
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20 pages, 8734 KiB  
Article
Diagnostic Performance of an Artificial Intelligence Software for the Evaluation of Bone X-Ray Examinations Referred from the Emergency Department
by Alejandro Díaz Moreno, Raquel Cano Alonso, Ana Fernández Alfonso, Ana Álvarez Vázquez, Javier Carrascoso Arranz, Julia López Alcolea, David García Castellanos, Lucía Sanabria Greciano, Manuel Recio Rodríguez, Cristina Andreu-Vázquez, Israel John Thuissard Vasallo and Vicente Martínez De Vega
Diagnostics 2025, 15(4), 491; https://doi.org/10.3390/diagnostics15040491 - 18 Feb 2025
Viewed by 480
Abstract
Background/Objectives: The growing use of artificial intelligence (AI) in musculoskeletal radiographs presents significant potential to improve diagnostic accuracy and optimize clinical workflow. However, assessing its performance in clinical environments is essential for successful implementation. We hypothesized that our AI applied to urgent [...] Read more.
Background/Objectives: The growing use of artificial intelligence (AI) in musculoskeletal radiographs presents significant potential to improve diagnostic accuracy and optimize clinical workflow. However, assessing its performance in clinical environments is essential for successful implementation. We hypothesized that our AI applied to urgent bone X-rays could detect fractures, joint dislocations, and effusion with high sensitivity (Sens) and specificity (Spec). The specific objectives of our study were as follows: 1. To determine the Sens and Spec rates of AI in detecting bone fractures, dislocations, and elbow joint effusion compared to the gold standard (GS). 2. To evaluate the concordance rate between AI and radiology residents (RR). 3. To compare the proportion of doubtful results identified by AI and the RR, and the rates confirmed by GS. Methods: We conducted an observational, double-blind, retrospective study on adult bone X-rays (BXRs) referred from the emergency department at our center between October and November 2022, with a final sample of 792 BXRs, categorized into three groups: large joints, small joints, and long-flat bones. Our AI system detects fractures, dislocations, and elbow effusions, providing results as positive, negative, or doubtful. We compared the diagnostic performance of AI and the RR against a senior radiologist (GS). Results: The study population’s median age was 48 years; 48.6% were male. Statistical analysis showed Sens = 90.6% and Spec = 98% for fracture detection by the RR, and 95.8% and 97.6% by AI. The RR achieved higher Sens (77.8%) and Spec (100%) for dislocation detection compared to AI. The Kappa coefficient between RR and AI was 0.797 for fractures in large joints, and concordance was considered acceptable for all other variables. We also analyzed doubtful cases and their confirmation by GS. Additionally, we analyzed findings not detected by AI, such as chronic fractures, arthropathy, focal lesions, and anatomical variants. Conclusions: This study assessed the impact of AI in a real-world clinical setting, comparing its performance with that of radiologists (both in training and senior). AI achieved high Sens, Spec, and AUC in bone fracture detection and showed strong concordance with the RR. In conclusion, AI has the potential to be a valuable screening tool, helping reduce missed diagnoses in clinical practice. Full article
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12 pages, 672 KiB  
Article
Role of Optic Nerve Sheath Diameter on Mortality Prediction in Patients Admitted to the Intensive Care Unit from the Emergency Department
by Kazım Ersin Altınsoy and Bahar Uslu Bayhan
Diagnostics 2025, 15(4), 490; https://doi.org/10.3390/diagnostics15040490 - 17 Feb 2025
Viewed by 393
Abstract
Background/Objectives: Cerebrovascular events (CVEs) are a leading cause of intensive care unit (ICU) admissions from the emergency department, often associated with high morbidity and mortality rates. Identifying reliable, non-invasive predictors of mortality in these patients is critical for improving prognostic accuracy and [...] Read more.
Background/Objectives: Cerebrovascular events (CVEs) are a leading cause of intensive care unit (ICU) admissions from the emergency department, often associated with high morbidity and mortality rates. Identifying reliable, non-invasive predictors of mortality in these patients is critical for improving prognostic accuracy and guiding therapeutic strategies. This retrospective cohort study evaluates the predictive value of the optic nerve sheath diameter (ONSD), measured using magnetic resonance imaging (MRI), in determining mortality among ICU patients with CVEs. Methods: This single-center, retrospective observational study included 102 patients diagnosed with CVEs and admitted to the ICU at Gaziantep City Hospital between October 2023 and March 2024. This study adhered to the Declaration of Helsinki. Ethics approval was obtained from Gaziantep Islam Science and Technology University (Decision No. 394.36.08), and the requirement for informed consent was waived due to the retrospective design. The sample size was determined using G-Power 3.1.9.4. Results: A statistically significant positive correlation was observed between the ONSD and mortality (p = 0.002). Patients with higher ONSD values demonstrated an increased mortality risk, underscoring the potential prognostic value of ONSD measurements in this population. Conclusions: MRI-based ONSD measurement offers a non-invasive method for predicting mortality in ICU patients with CVEs. Its integration into routine diagnostic protocols could enhance clinical decision-making and patient outcomes. Further multicenter studies are warranted to validate these findings and standardize ONSD measurement techniques. Full article
(This article belongs to the Special Issue Application of Magnetic Resonance Imaging in Neurology)
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13 pages, 2014 KiB  
Article
Salivary Cortisol as a Biomarker for Assessing Fear and Anxiety in Patients with Molar–Incisor Hypomineralization
by Laura-Roxana Contac, Silvia Izabella Pop, Minodora Dobreanu, Madalina Oprica, Septimiu Voidazan and Cristina Ioana Bica
Diagnostics 2025, 15(4), 489; https://doi.org/10.3390/diagnostics15040489 - 17 Feb 2025
Viewed by 325
Abstract
Background/Objectives: Molar–incisor hypomineralization (MIH) is a prevalent dental condition characterized by hypomineralized enamel affecting the first permanent molars and incisors. It leads to visible enamel opacities, with varying severity. Children with MIH often experience dental hypersensitivity, which can result in increased dental [...] Read more.
Background/Objectives: Molar–incisor hypomineralization (MIH) is a prevalent dental condition characterized by hypomineralized enamel affecting the first permanent molars and incisors. It leads to visible enamel opacities, with varying severity. Children with MIH often experience dental hypersensitivity, which can result in increased dental fear and anxiety, complicating dental treatment. Salivary cortisol, a well-established biomarker of stress, has been used to assess stress levels in various pediatric conditions but has not been extensively studied in MIH. This study aimed to assess salivary cortisol levels as a stress biomarker in children with MIH and compare them to those in children without MIH. Methods: Sixty children aged 5–9 years were divided into two groups: 31 with MIH and 29 healthy controls. Salivary cortisol levels were measured using ELISA, and statistical analysis was performed using IBM SPSS software, version 23 The Mann–Whitney test was used for group comparison, and the Kruskal–Wallis test evaluated the correlation between MIH severity and cortisol levels. Results: Children with MIH showed significantly higher mean cortisol levels (2.63 ng/mL) compared to controls (0.96 ng/mL), with a p-value of 0.0001. A progressive increase in cortisol levels was observed with the severity of MIH, with the highest levels recorded in grade 3 (4.38 ng/mL), in contrast to grade 0 (0.95 ng/mL), with a p-value of 0.001. Conclusions: Salivary cortisol levels are significantly higher in children with MIH, suggesting that MIH-related stress may contribute to dental anxiety and hypersensitivity. These findings highlight the importance of stress management in pediatric dental care. Full article
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17 pages, 1114 KiB  
Article
Transthoracic Lung Ultrasound in Systemic Sclerosis-Associated Interstitial Lung Disease: Capacity to Differentiate Chest Computed-Tomographic Characteristic Patterns
by Cinzia Rotondo, Giuseppe Busto, Valeria Rella, Raffaele Barile, Fabio Cacciapaglia, Marco Fornaro, Florenzo Iannone, Donato Lacedonia, Carla Maria Irene Quarato, Antonello Trotta, Francesco Paolo Cantatore and Addolorata Corrado
Diagnostics 2025, 15(4), 488; https://doi.org/10.3390/diagnostics15040488 - 17 Feb 2025
Viewed by 419
Abstract
Background/Objectives: Even today, interstitial lung disease (ILD) is diagnosed by chest high-resolution computed tomography (lung HR-CT). Large amounts of data are available about the usefulness of transthoracic lung ultrasound (LUS) in ILD. This study aimed to evaluate the transthoracic LUS capacity to [...] Read more.
Background/Objectives: Even today, interstitial lung disease (ILD) is diagnosed by chest high-resolution computed tomography (lung HR-CT). Large amounts of data are available about the usefulness of transthoracic lung ultrasound (LUS) in ILD. This study aimed to evaluate the transthoracic LUS capacity to discriminate different ILD patterns in systemic sclerosis (SSc) patients, such as usual interstitial pneumonia (UIP), non-specific interstitial pneumonia (NSIP) with ground glass opacification/opacity (GGO), and NSIP with GGO and reticulations, as well as the possibility of identifying progressive fibrosing ILD. Methods: We enrolled SSc-patients attending the outpatient Clinic of the Rheumatology Unit of Policlinico of Foggia and the Rheumatology Unit of Policlinico of Bari who satisfied these inclusion criteria: age older than 18 years; the satisfaction of ACR/EULAR 2013 classification criteria for SSc; chest HR-CT scan within three months before or three months after transthoracic LUS evaluation; and availability of recent and complete pulmonary function test. The exclusion criteria were as follows: history or recent reactivation of chronic obstructive pulmonary disease, lung cancer, lung infection, heart failure, pulmonary oedema, pulmonary arterial hypertension, acute respiratory distress syndrome and diffuse alveolar haemorrhage and thoracic surgery. All enrolled SSc-patients underwent transthoracic LUS, performed by an experienced sonographer. The ILD diagnosis and the respective patterns were assessed by chest HR-CT, which still represents the best diagnostic tool. Results: ILD was observed in 99 (63.5%) patients. Of these, 25% had the UIP pattern and 75% the NSIP pattern (46 with GGO, 28 with GGO and reticulations). By receiver operating characteristic (ROC) curve analysis, higher values of accuracy, sensitivity, specificity, and negative clinical utility index (CUI) were found for pleural line irregularity (0.84 (95% CI: 0.75–0.91), 96%, and 73.6%, p = 0.0001; 0.72), and pleural line thickness (0.84 (95% CI: 0.74–0.91), 72%, and 96.4%, p = 0.0001; 0.85) for detecting the UIP pattern. The best performance among transthoracic LUS signs for NSIP with the GGO pattern was observed for B-lines (accuracy: 0.88 (95% CI: 0.80–0.93), sensitivity: 93.4% and specificity: 82.4, p = 0.0001; CUI+: 0.75, CUI−: 0.77). LUS signs with higher accuracy, sensitivity, and specificity for NSIP with GGO and reticulations were pleural line irregularity (0.89 (95% CI: 0.80–0.95), 96.4%, and 82.4%, p = 0.0001) with CUI−: 0.72, and B-lines (0.89 (95% CI: 0.80–0.95), 96.4%, 82.4%, p = 0.0001), with CUI+: 0.80 and CUI−: 0.70. Furthermore, a total number of B-lines > 10 maximises LUS performance with 92.3% sensitivity, and an accuracy of 0.83 (p = 0.0001) for detecting the NSIP pattern, particularly GGO. A sample-restricted analysis (66 SSc patients) evidenced the presence of progressive fibrosing ILD in 77% of these patients. By binary regression analysis, the unique LUS sign associated with progressive fibrosing ILD was the presence of pleural line irregularity (OR: 3.6; 95% CI 1.08–11.9; p = 0.036). Conclusions: Our study demonstrated that transthoracic LUS presented a high capacity to discriminate the different patterns of SSc-ILD. Therefore, the hypothesis that transthoracic LUS is an effective screening method for the evaluation of the presence of SSc-ILD and establishing the correct timing of chest HR-CT, in order to avoid patients receiving excessive exposure to ionising radiation, is supported. Full article
(This article belongs to the Special Issue Diagnosis, Classification, and Monitoring of Pulmonary Diseases)
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20 pages, 457 KiB  
Article
Comparative Study Between Cognitive Phenotypes of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Multiple Sclerosis
by Mehdi Aoun Sebaiti, Nadia Oubaya, Yannick Gounden, Chloé Samson, Emmanuele Lechapt, Abir Wahab, Alain Creange, Mathieu Hainselin and François-Jérôme Authier
Diagnostics 2025, 15(4), 487; https://doi.org/10.3390/diagnostics15040487 - 17 Feb 2025
Viewed by 2245
Abstract
Objective: Cognitive impairments are one of the most common and disabling symptoms associated with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Here, we address the possibility of a specific cognitive profile inherent to ME/CFS. Due to the occurrence of cognitive deficits, fatigue, and pain [...] Read more.
Objective: Cognitive impairments are one of the most common and disabling symptoms associated with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Here, we address the possibility of a specific cognitive profile inherent to ME/CFS. Due to the occurrence of cognitive deficits, fatigue, and pain in both pathologies, multiple sclerosis (MS) is a relevant comparison model. For this purpose, we carried out a comparative study between cognitive profiles of patients with ME/CFS and patients suffering from MS. Methods: In total, 40 ME/CFS and 40 MS patients were included. A complete screening of all cognitive functions was carried out through an extensive battery of tests routinely used in clinical practice. Results: ME/CFS and MS patients showed deficits in episodic memory retrieval, visual selective attention and reading speed. ME/CFS patients also elicited a lower level of performance than MS patients regarding consolidation. For both groups, levels of performance on these cognitive tests did not correlate with levels of fatigue, pain, and depression. Conclusions: This study highlighted both similarities and differences in the cognitive profiles of ME/CFS and MS patients. While both groups exhibited deficits in episodic memory retrieval, visual selective attention, and reading speed, ME/CFS patients showed distinct impairment in consolidation processes. These cognitive deficits were not correlated with fatigue, pain, or depression, reinforcing the hypothesis of intrinsic cognitive dysfunction in ME/CFS. These findings define a specific cognitive phenotype for ME/CFS, which could improve diagnostic accuracy and therapeutic strategies. Future research, particularly in functional imaging, may elucidate the neurobiological mechanisms underlying these impairments. Full article
(This article belongs to the Special Issue Assessment and Diagnosis of Cognitive Disorders)
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11 pages, 612 KiB  
Article
Prevalence and Transfusion Risks of Occult Hepatitis B Infection Among HBcAb-Positive Blood Donors in a High-Endemic Region
by Ahmed Subeh Alshrari, Shuaibu Abdullahi Hudu, Sa‘adatu Haruna Shinkafi, Albashir Tahir, Halima Yunusa Raji and Abdulgafar Olayiwola Jimoh
Diagnostics 2025, 15(4), 486; https://doi.org/10.3390/diagnostics15040486 - 17 Feb 2025
Viewed by 684
Abstract
Background: Hepatitis B virus (HBV) remains a significant global health concern, particularly in sub-Saharan Africa, where endemicity is high. Occult hepatitis B infection (OBI) presents a unique challenge to transfusion safety, as HBV DNA may persist in HBsAg-negative individuals. This study examines the [...] Read more.
Background: Hepatitis B virus (HBV) remains a significant global health concern, particularly in sub-Saharan Africa, where endemicity is high. Occult hepatitis B infection (OBI) presents a unique challenge to transfusion safety, as HBV DNA may persist in HBsAg-negative individuals. This study examines the prevalence of HBcAb positivity among blood donors at Usmanu Danfodiyo University Teaching Hospital (UDUTH), Sokoto, and assesses the risk of HBV transmission. Methods: A cross-sectional study was conducted among 200 blood donors. Samples were screened for HBsAg and HBV serological markers using a rapid assay and ELISA. HBcAb-positive samples were analyzed for HBV DNA using real-time polymerase chain reaction (qRT-PCR). Viral loads were quantified, and socio-demographic characteristics were recorded. Results: HBcAb was detected in 57 (28.5%) of the 200 donors. The most common serological pattern among donors was HBsAg-negative and HBcAb-negative (69%). Among these HBcAb-positive donors, HBV DNA was detected in three cases (1.5%), with viral loads of 753.1, 2.193 × 104, and 4.538 × 104 IU/mL. The presence of HBV DNA in these donors confirms the risk of OBI transmission through transfusion. Socio-demographic analysis revealed that 48.5% of donors were aged 26–35 years, 23.5% were aged 18–25 years, 23% were aged 36–42 years, and 2.5% were either 43–50 or above 50 years of age, of which 99.5% were male. These findings highlight a significant prevalence of HBcAb positivity and OBI, aligning with studies in similar high-endemic settings. Conclusions: HBcAb positivity and OBI represent significant transfusion risks in endemic regions. The presence of HBV DNA in 1.5% of HBcAb-positive donors in the study population highlights the limitations of HBsAg-based screening. Incorporating nucleic acid testing (NAT) into routine blood donor screening protocols is critical to enhancing transfusion safety. Further research is needed to evaluate the feasibility and cost-effectiveness of such interventions in resource-limited settings. Full article
(This article belongs to the Section Diagnostic Microbiology and Infectious Disease)
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11 pages, 7236 KiB  
Article
Addressing Multi-Center Variability in Radiomic Analysis: A Comparative Study of Image Acquisition Methods Across Two 3T MRI Scanners
by Claudia Tocilă-Mătășel, Sorin Marian Dudea and Gheorghe Iana
Diagnostics 2025, 15(4), 485; https://doi.org/10.3390/diagnostics15040485 - 17 Feb 2025
Viewed by 334
Abstract
Background: Radiomics has become a valuable tool in medical imaging, but its clinical use is limited by data variability and a lack of reproducibility between centers. This study aims to assess the differences between two scanners and provide guidance on image acquisition [...] Read more.
Background: Radiomics has become a valuable tool in medical imaging, but its clinical use is limited by data variability and a lack of reproducibility between centers. This study aims to assess the differences between two scanners and provide guidance on image acquisition methods to reduce variations between images obtained from different centers. Methods: This study utilized medical images obtained in two different imaging centers, with two different 3T MRI scanners. For each scanner, 3D T2 FLAIR sequences were acquired in two forms: the raw and the clinical practice images typically used in diagnostic workflows. The differences between images were analyzed regarding resolution, SNR, CNR, and radiomic features. To facilitate comparison, bias field correction was applied, and the data were standardized to the same scale using Z-score normalization. Descriptive and inferential statistical methods were used to analyze the data. Results: The results show that there are significant differences between centers. Filtering and zero-padding significantly influence the resolution, SNR, CNR values, and radiomics features. Applying Z-score normalization has resolved variations in features sensitive to scale differences, but features reflecting dispersion and extreme values remain significantly different between scanners. Some feature differences may be resolved by analyzing the raw images in both centers. Conclusions: Variations arise due to different acquisition parameters and the differing quality and sensitivity of the equipment. In multi-center studies, acquiring raw images and then applying standardized post-processing methods across all images can enhance the robustness of results. This approach minimizes technical differences, and preserves the integrity of the information, reflecting a more accurate representation of reality and contributing to more reliable and reproducible findings. Full article
(This article belongs to the Special Issue Recent Advances in Radiomics in Medical Imaging)
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5 pages, 3276 KiB  
Interesting Images
Transoral Robotic Approach for Pharyngeal Schwannoma
by Riccardo Nocini, Valerio Arietti, Sokol Sina and Luca Sacchetto
Diagnostics 2025, 15(4), 484; https://doi.org/10.3390/diagnostics15040484 - 17 Feb 2025
Viewed by 244
Abstract
Introduction: Schwannomas are a common condition encountered in clinical ENT practice, but they are rarely found in the pharyngeal or laryngeal regions. Materials and Methods: In this report, we share our experience using the transoral robotic approach to treat a schwannoma [...] Read more.
Introduction: Schwannomas are a common condition encountered in clinical ENT practice, but they are rarely found in the pharyngeal or laryngeal regions. Materials and Methods: In this report, we share our experience using the transoral robotic approach to treat a schwannoma located on the lateral pharyngeal wall, with the surgery being performed exclusively using transoral robotic surgery (TORS). It is important to be aware of any pseudocystic lesions in this area, as they can lead to unpredictable anatomopathological outcomes. Results and Conclusions: Our technique allows us to achieve complete resection of the tumor, facilitating rapid recovery for the patient without the need for additional treatment. Full article
(This article belongs to the Special Issue Diagnosis and Management in Otolaryngology 2025)
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14 pages, 485 KiB  
Article
The Impact of the COVID-19 Pandemic on Forensic Psychiatric Examination
by Daniela Margareta Varga, Florica Voiță-Mekeres, Camelia Liana Buhaș, Gabriel Mihai Mekeres, Florina Madălina Mîndru, Nuțu Cristian Voiță and Lavinia Davidescu
Diagnostics 2025, 15(4), 483; https://doi.org/10.3390/diagnostics15040483 - 17 Feb 2025
Viewed by 198
Abstract
Background/Objectives: Forensic psychiatric expertise significantly contributes to clinical criminology. Interdisciplinary investigations, evaluation tactics, and the use of criminology indices are essential for psychosocial prognostic assessments of conflict, aggression, adaptability, and recovery. Methods: This study aims to assess the impact of the COVID-19 pandemic [...] Read more.
Background/Objectives: Forensic psychiatric expertise significantly contributes to clinical criminology. Interdisciplinary investigations, evaluation tactics, and the use of criminology indices are essential for psychosocial prognostic assessments of conflict, aggression, adaptability, and recovery. Methods: This study aims to assess the impact of the COVID-19 pandemic on forensic psychiatric expertise by analyzing demographic variables such as age, gender, background, and other relevant data including criminal records, forensic antecedents, personal pathological antecedents, diagnosis, and discernment. Our study included 186 patients categorized into pandemic and post-pandemic periods. Results: Most participants were male, with no significant rural–urban distribution differences. During the COVID period, common criminal acts included aggression and child pornography, followed by attempted murder. A significant association was found between discernment and psychiatric disorders (p < 0.0011), with 67.6% of the patients lacking discernment having mental illnesses. Legal outcomes varied with discernment; 60.3% of patients without discernment required mandatory hospitalization (p < 0.0011). Conclusions: Medico-legal antecedents were more frequent during the pandemic, and safety measures were more commonly applied to those lacking discernment. Full article
(This article belongs to the Section Clinical Diagnosis and Prognosis)
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16 pages, 4550 KiB  
Article
Future Directions in Quantitative SPECT-CT Evaluation of Cardiac Transthyretin Amyloidosis: Correlation with Clinical and Morphological Parameters
by Mirela Gherghe, Mario-Demian Mutuleanu, Tatiana Lucia Suta, Liliana Micu, Adina Elena Stanciu, Sinziana-Octavia Ionescu, Ciprian Cirimbei, Diana Loreta Paun, Andreea Jercan, Sorina Nicoleta Badelita and Daniel Coriu
Diagnostics 2025, 15(4), 482; https://doi.org/10.3390/diagnostics15040482 - 17 Feb 2025
Viewed by 356
Abstract
Background: ATTRv and ATTRwt cardiac amyloidosis (CA) are underrecognized causes of heart failure with preserved left ventricular ejection fraction. The diagnosis of CA remains challenging due to low diagnostic suspicion and clinical overlap with more common diseases. The aim of this study [...] Read more.
Background: ATTRv and ATTRwt cardiac amyloidosis (CA) are underrecognized causes of heart failure with preserved left ventricular ejection fraction. The diagnosis of CA remains challenging due to low diagnostic suspicion and clinical overlap with more common diseases. The aim of this study was to use [99mTc]-PYP SPECT-CT to perform a volumetric evaluation of bone scintigraphy to overcome the limitations of current practices. Methods: A monocentric prospective study was conducted to evaluate a lot of 22 patients with a mean age of 52.86 ± 13.80 years, diagnosed with hereditary cardiac transthyretin amyloidosis (ATTR). Results: Correlations between the quantitative SPECT-CT, clinical data, and morphological parameters were performed, demonstrating moderate to strong correlation of SUVmaxMyocardium/SUVmaxBone to both ECG low voltage and EchoGLS, SUVmaxMyocardium/SUVmaxLiver to myocardial gadolinium kinetics with T1 mapping MRI, diastolic disfunction, sensory–motor polyneuropathy, and EchoGLS, SUVmaxMyocardium/SUVmeanBone with diastolic disfunction and sensory–motor polyneuropathy, as well as SUVmaxMyocardium/SUVmaxSoft tissue to S II, respectively. Conclusions: The moderate to strong correlations among advanced quantitative SPECT-CT metrics and clinical and paraclinical data create the premises to use these parameters for early diagnosis of cardiac ATTR. Further multicentric studies in a larger patient population are needed to validate the newly identified quantitative SPECT-CT parameters. Full article
(This article belongs to the Special Issue Advances in Cardiovascular Diseases: Diagnosis and Management)
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11 pages, 890 KiB  
Review
Congenital Heart Disease After Mid-Age: From the “Grown-Up” to the Elderly
by Francesca Bonanni, Chiara Servoli, Gaia Spaziani, Elena Bennati, Chiara Di Filippo, Giulia Ksenia Cirri, Marzia Giaccardi, Iacopo Olivotto and Silvia Favilli
Diagnostics 2025, 15(4), 481; https://doi.org/10.3390/diagnostics15040481 - 17 Feb 2025
Viewed by 279
Abstract
Early surgery and improved medical care have led to the increased survival of neonates with congenital heart disease (CHD), who now commonly reach adulthood. Among adults with CHD, a growing subgroup is represented by middle-aged and even elderly patients. In this elderly population, [...] Read more.
Early surgery and improved medical care have led to the increased survival of neonates with congenital heart disease (CHD), who now commonly reach adulthood. Among adults with CHD, a growing subgroup is represented by middle-aged and even elderly patients. In this elderly population, acquired cardiac and extracardiac comorbidities represent the main cause of morbidity and mortality; the control and correction of cardiovascular risk factors or an appropriate check for extracardiac complications (such as malignancies) is therefore of paramount importance. Complications and frailty syndrome appear to occur earlier in ACHD than in the general population due to a frequent discrepancy between chronological and biological age. Multiple stressors throughout life (hemodynamic abnormalities, cardiac operations and interventional procedures, the placement of foreign materials) that result in a chronic inflammatory response are among the leading causes of premature senescence. This review is aimed at assessing the characteristics and special needs of this elderly ACHD population with a view to proposing novel models for the organization of extended care. Full article
(This article belongs to the Section Medical Imaging and Theranostics)
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