You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.

Search for Articles:

Title / Keyword

Author / Affiliation / Email

Journal

Article Type

Advanced Search

Section

Special Issue

Volume

Issue

Number

Page

Logical OperatorOperator

Search Text

Search Type

Imaging in Infective Endocarditis—Current Opinions and Trends in Cardiac Computed Tomography
How AI and Robotics Will Advance Interventional Radiology: Narrative Review and Future Perspectives
A Review of Current Evidence for the Use of Steroids in the Medical Intensive Care Unit
The Effect of Therapeutic Hypothermia on Ischemic Brain Injury in a Rat Model of Cardiac Arrest: An Assessment Using ¹⁸F-FDG PET

Journal Description

Diagnostics

Diagnostics is an international, peer-reviewed, open access journal on medical diagnosis published semimonthly online by MDPI. The British Neuro-Oncology Society (BNOS), the International Society for Infectious Diseases in Obstetrics and Gynaecology (ISIDOG) and the Swiss Union of Laboratory Medicine (SULM) are affiliated with Diagnostics and their members receive a discount on the article processing charges.

Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
High Visibility: indexed within Scopus, SCIE (Web of Science), PubMed, PMC, Embase, Inspec, CAPlus / SciFinder, and other databases.
Journal Rank: JCR - Q1 (Medicine, General and Internal) / CiteScore - Q2 (Internal Medicine)
Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 20.5 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the first half of 2024).
Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Companion journal: LabMed.

Impact Factor: 3.0 (2023); 5-Year Impact Factor: 3.1 (2023)

Imprint Information Journal Flyer Open Access ISSN: 2075-4418

Latest Articles

12 pages, 3748 KiB

Open AccessArticle

Late Enhancement Computed Tomography for Left Atrial Fibrosis Imaging: A Pilot “Proof-of-Concept” Study

by Pietro G. Lacaita, Christoph Beyer, Fabian Plank, Markus Stühlinger and Gudrun M. Feuchtner

Diagnostics 2024, 14(23), 2753; https://doi.org/10.3390/diagnostics14232753 (registering DOI) - 6 Dec 2024

Background/Objective: Left atrial (LA) fibrosis imaging improves the guidance of LA catheter ablation. Cardiac computed tomography (CT) may be a reasonable alternative to CMR. The aim was to evaluate late enhancement (LE) fibrosis mapping by CT, and to correlate the results with [...] Read more.

Background/Objective: Left atrial (LA) fibrosis imaging improves the guidance of LA catheter ablation. Cardiac computed tomography (CT) may be a reasonable alternative to CMR. The aim was to evaluate late enhancement (LE) fibrosis mapping by CT, and to correlate the results with low-voltage areas on electroanatomical mapping (EAM). Methods: In patients with atrial fibrillation who underwent 128-slice dual-source CT angiography (CTA) prior to LA catheter ablation, an additional LE-CT scan was performed 7 min after CTA. (1) Left atrial wall thickness (LAWT) was measured at three sites along the LA ridge. (2) Late enhancement (LE) was quantified co-axially aligned to LAWT and compared with low-voltage areas (LVA) on EAM. Results: Of 137 patients (age: 59.8 years; 27.7% females), 108 were included. The prevalence of LE was higher in patients with LAWT > 2 mm compared with 1.5 mm, with 78 (91.7%) vs. 77 (80.2%) (p = 0.022). Of 78 patients with LE, 60 (77.1%) had focal, 13 (16.5%) had diffuse, and 5 (6.3%) had mixed LE patterns. The CT density of focal LE was not different from that of diffuse patterns (104.2 +/− 21 HU vs. 98.9 +/− 18 HU; p = 0.360). Increasing LAWT and LE-HU were weakly correlated (r = 0.229; p = 0.041). LA wall artifacts had higher CT density compared with LE (154.1 HU vs. 114.2 HU; p = 0.002). The effective radiation dose was 0.95 mSv (range, 0.52–1.2 mSv) for LE-CT. The agreement of LE-CT was 80% for LVA < 0.5 mV and 86.6% for LVA < 0.7 mV in a subset of 30 patients. Conclusions: Left atrial fibrosis mapping by LE-CT is feasible. Late enhancement was found more frequently in LAWTs of more than 2 mm, and LE was correlated with increasing LA remodeling and low-voltage areas. Full article

(This article belongs to the Special Issue Advancements in Cardiovascular CT Imaging)

► Show Figures

Figure 1

14 pages, 2975 KiB

Open AccessReview

Daily Measurements from Cardiac Implantable Electronic Devices to Assess Health Status

by Eva Roseboom, Fenna Daniëls, Michiel Rienstra and Alexander H. Maass

Diagnostics 2024, 14(23), 2752; https://doi.org/10.3390/diagnostics14232752 (registering DOI) - 6 Dec 2024

Cardiac implantable electronic devices (CIEDs) such as pacemakers and implantable cardioverter-defibrillators (ICDs) are increasingly used in the aging population. Modern CIEDs perform daily measurements, mainly aimed at discovering early signs of battery depletion or electrode dysfunction. Changes in thresholds, intracardiac signals, and pacing [...] Read more.

Cardiac implantable electronic devices (CIEDs) such as pacemakers and implantable cardioverter-defibrillators (ICDs) are increasingly used in the aging population. Modern CIEDs perform daily measurements, mainly aimed at discovering early signs of battery depletion or electrode dysfunction. Changes in thresholds, intracardiac signals, and pacing impedances can be caused by exacerbation of existing conditions or novel clinical problems. Pacing percentages and heart rate histograms can be used to optimize pacemaker programming, but can also be a measure of altered cardiac health status. Several measurements, such as thoracic impedance and patient activity, have been added to inform practitioners about worsening heart failure. In addition, remote monitoring of daily CIED measurements may accommodate for the prevention of the deterioration of clinical conditions. In this review, we discuss the evidence base of CIED algorithms and suggest how to use standard daily measurements to monitor the cardiac and extracardiac health status of patients with CIEDs. Full article

(This article belongs to the Section Clinical Diagnosis and Prognosis)

► Show Figures

Figure 1

14 pages, 1054 KiB

Open AccessArticle

Optimizing Endoscopic Respiratory Diagnostics with Cytology: An Update on Touch Imprints with a Comparative Literature Review

by Hatice Elmas, Binnur Önal, Selda Yilmaz, Stefan Steurer and Lutz Welker

Diagnostics 2024, 14(23), 2750; https://doi.org/10.3390/diagnostics14232750 (registering DOI) - 6 Dec 2024

Background: Major diagnostic and therapeutic changes led to the implementation of the ‘lung cancer diagnosis in small biopsies and cytology specimens’ concept in the WHO Classification of Tumours of the Lung, Pleura, Thymus and Heart in 2015. Touch imprints are an established technique [...] Read more.

Background: Major diagnostic and therapeutic changes led to the implementation of the ‘lung cancer diagnosis in small biopsies and cytology specimens’ concept in the WHO Classification of Tumours of the Lung, Pleura, Thymus and Heart in 2015. Touch imprints are an established technique in cytology that provides a rapid and minimally invasive method for morphological diagnoses of clinical specimens, accurate subtyping, and molecular characterizations of malignancies. The extended diagnostic requirements from the increasingly limited material provided by minimally invasive biopsy techniques pose major challenges for pathology. Recognizing the relevant features and potential pitfalls is essential for cytologists to avoid misinterpretation. Materials and Methods: A retrospective analysis of endoscopic and surgical biopsy diagnostics was performed on 717 patients (303 women and 414 men; average age of 66.9 years) with clinically suspicious tumor findings at the LungenClinic Grosshansdorf in 2020. A total of 1363 cytological samples were obtained pre-therapeutically from 986 distinct biopsies covering 330 surgically and 656 endoscopically examined pulmonary, mediastinal, and bronchial regions. These samples were then compared with the histological diagnoses that were critical for determining the final therapy. Results: Out of a total of 656 endoscopically examined cases, 322 were classified as malignant, 308 as benign, and 26 as undetermined. While touch imprints and histological analysis separately achieved specificity values of 95.4% and 98.8%, both methods showed sensitivity values of 82.1% and 86.5%, respectively. In contrast, combining the two methods improved the sensitivity by 8 percentage points to 94.6%. Out of 330 cases of surgically examined samples, 137 were malignant, 190 were benign, and 3 were undetermined. The specificity of the morphological examinations for these samples was comparably high at 97.9% and 100%, respectively. In this surgical setting, touch imprints alone achieved a sensitivity of 75.9% (n = 104/137 cases), with a specificity of 97.9% (n = 186/190 cases). The outcome of the histological approach alone and in combination with touch imprints reached a sensitivity of 96.4% (n = 132/137 cases). Conclusions: Cytology and histology achieved comparably high sensitivity and specificity values on small biopsies. Under optimal conditions for morphological analysis in a surgical setting, the sensitivity of cytology for detecting malignant tumors was only 6 percentage points lower compared with the clinical endoscopic setting. A combined approach of cytologic–histologic evaluation for endoscopically examined specimens significantly increased the sensitivity by approximately 8% compared with the surgical setting (p < 0.003). Full article

(This article belongs to the Special Issue Cyto-Histological Correlations in Pathology Diagnosis)

► Show Figures

Figure 1

11 pages, 4742 KiB

Open AccessArticle

Diabetic Mastopathy: A Monocentric Study to Explore This Uncommon Breast Disease

by Luciano Mariano, Luca Nicosia, Sofia Scolari, Sara Pasi, Sofia Netti, Giovanni Mazzarol, Antuono Latronico and Enrico Cassano

Diagnostics 2024, 14(23), 2749; https://doi.org/10.3390/diagnostics14232749 (registering DOI) - 6 Dec 2024

Background: Diabetic Mastopathy (DMP) is an uncommon benign fibro-inflammatory condition that occurs in women with long-standing diabetes mellitus (DM), particularly type 1. It often mimics breast cancer (BC) in clinical and imaging presentations, leading to diagnostic challenges. Methods: A retrospective monocentric study was [...] Read more.

Background: Diabetic Mastopathy (DMP) is an uncommon benign fibro-inflammatory condition that occurs in women with long-standing diabetes mellitus (DM), particularly type 1. It often mimics breast cancer (BC) in clinical and imaging presentations, leading to diagnostic challenges. Methods: A retrospective monocentric study was conducted, analyzing clinical, radiologic, and pathological data from 28 women diagnosed with DMP over 10 years at the European Institute of Oncology. Data on DM type, age at DMP diagnosis, associated autoimmune conditions, imaging features, and surgical outcomes were collected and compared with the existing literature. Results: The majority (82%) of the patients had type 1 DM, with most diagnosed with DMP before age 40. Common complications included retinopathy (46%) and neuropathy (35%). Imaging often suggested malignancy, necessitating core needle biopsies for diagnosis. Surgical intervention occurred in 55% of cases, with a recurrence rate of 32%. One case of BC was observed. Conclusions: DMP remains challenging due to its resemblance to BC. Conservative management is typical, but the recurrence rate post-surgery highlights the importance of ongoing monitoring. Although DMP does not significantly increase BC risk, caution is advised, especially for immunocompromised patients. Further studies are needed to comprehensively understand DMP’s relationship with BC. Full article

(This article belongs to the Special Issue Advances in Breast Imaging and Analytics)

► Show Figures

Figure 1

13 pages, 1054 KiB

Open AccessArticle

Epileptic Patients with More Clinic Visits Are More Likely to Be Diagnosed with Dementia—A Population-Based Retrospective Cohort Study

by Pao-Sheng Yen, Chih-Hsin Muo, Chung-Hsin Yeh and Fung-Chang Sung

Diagnostics 2024, 14(23), 2748; https://doi.org/10.3390/diagnostics14232748 (registering DOI) - 6 Dec 2024

Objective: This retrospective cohort study assessed dementia risk in epilepsy patients associated with the compliance to epileptic treatment visits. Methods: We used Taiwanese insurance claims data to establish an epilepsy cohort (N = 39,216) diagnosed in 2000–2015 and a matched control cohort [...] Read more.

Objective: This retrospective cohort study assessed dementia risk in epilepsy patients associated with the compliance to epileptic treatment visits. Methods: We used Taiwanese insurance claims data to establish an epilepsy cohort (N = 39,216) diagnosed in 2000–2015 and a matched control cohort without epilepsy (N = 156,864), evaluating the incident dementia by the end of 2016. Results: The dementia incidence was 2.9-fold higher in the epilepsy cohort than in comparisons (4.68 vs. 1.59 per 1000 person-years). Only 9.3% of epilepsy patients were compliant to ≥80% of scheduled treatment visits, but they exhibited a 7.2-fold higher dementia incidence than those without treatment. The contrast was greater in younger patients than in the elderly (20-fold versus 5.5-fold). Dementia incidence increased with the frequency of neurological consultations, peaking in the first year after epilepsy diagnosis. Conclusions: Epileptic patients with more clinical visits for active treatment had a higher chance of dementia diagnosis, highlighting the importance of close neurological monitoring post-epilepsy diagnosis to address potential dementia complications. Full article

(This article belongs to the Special Issue Assessment and Diagnosis of Cognitive Disorders)

► Show Figures

Figure 1

13 pages, 1847 KiB

Open AccessArticle

The Occurrence and Risk Factors of Black Triangles Between Central Incisors After Orthodontic Treatment

by Ji-Song Jung, Ho-Kyung Lim, You-Sun Lee and Seok-Ki Jung

Diagnostics 2024, 14(23), 2747; https://doi.org/10.3390/diagnostics14232747 - 6 Dec 2024

Background/Objectives: To assess the incidence of and risk factors for black triangles between the central incisors after orthodontic treatment; Methods: Ninety-seven post-treatment patients (29 men and 68 women; mean age, 22.7 years) were retrospectively divided into two groups based on the presence or [...] Read more.

Background/Objectives: To assess the incidence of and risk factors for black triangles between the central incisors after orthodontic treatment; Methods: Ninety-seven post-treatment patients (29 men and 68 women; mean age, 22.7 years) were retrospectively divided into two groups based on the presence or absence of black triangles, using intraoral photographs. Based on the Jemt Index, the black triangle occurrence group was further classified into mild, moderate, and severe groups. Parameters from periapical radio graphs, lateral cephalograms, and study models were compared between the occurrence and the non-occurrence groups by using independent t-tests. Logistic regression analysis was performed to identify the risk factors for black triangles; Results: The incidence of black triangles between the central incisors was 51% and 64% in the maxilla and in the mandible, respectively. The factors significantly associated with the occurrence of black triangles were age, treatment duration, the lingual inclination of the maxillary incisors in the maxilla, and age in the mandible (p < 0.05); Conclusions: This study showed the diverse risk factors associated with black triangles between central incisors after orthodontic treatment and revealed that the formation of black triangles is relatively common. Considering these risk factors during orthodontic diagnosis and treatment planning can help minimize the occurrence of black triangles. Full article

(This article belongs to the Special Issue Advances in the Diagnosis of Oral and Maxillofacial Disease)

► Show Figures

Figure 1

10 pages, 620 KiB

Open AccessArticle

Serum Tau Species in Progressive Supranuclear Palsy: A Pilot Study

by Costanza Maria Cristiani, Luana Scaramuzzino, Elvira Immacolata Parrotta, Giovanni Cuda, Aldo Quattrone and Andrea Quattrone

Diagnostics 2024, 14(23), 2746; https://doi.org/10.3390/diagnostics14232746 - 5 Dec 2024

Background/Objectives: Progressive Supranuclear Palsy (PSP) is a tauopathy showing a marked symptoms overlap with Parkinson’s Disease (PD). PSP pathology suggests that tau protein might represent a valuable biomarker to distinguish between the two diseases. Here, we investigated the presence and diagnostic value of [...] Read more.

Background/Objectives: Progressive Supranuclear Palsy (PSP) is a tauopathy showing a marked symptoms overlap with Parkinson’s Disease (PD). PSP pathology suggests that tau protein might represent a valuable biomarker to distinguish between the two diseases. Here, we investigated the presence and diagnostic value of six different tau species (total tau, 4R-tau isoform, tau aggregates, p-tau202, p-tau231 and p-tau396) in serum from 13 PSP and 13 PD patients and 12 healthy controls (HCs). Methods: ELISA commercial kits were employed to assess all the tau species except for t-tau, which was assessed by a single molecule array (SIMOA)-based commercial kit. Possible correlations between tau species and biological and clinical features of our cohorts were also evaluated. Results: Among the six tau species tested, only p-tau396 was detectable in serum. Concentration of p-tau396 was significantly higher in both PSP and PD groups compared to HC, but PSP and PD patients showed largely overlapping values. Moreover, serum concentration of p-tau396 strongly correlated with disease severity in PSP and not in PD. Conclusions: Overall, we identified serum p-tau396 as the most expressed phosphorylated tau species in serum and as a potential tool for assessing PSP clinical staging. Moreover, we demonstrated that other p-tau species may be present at too low concentrations in serum to be detected by ELISA, suggesting that future work should focus on other biological matrices. Full article

(This article belongs to the Special Issue Novel Biomarkers for Alzheimer’s Disease and Other Neurodegenerative Diseases)

► Show Figures

Figure 1

15 pages, 320 KiB

Open AccessReview

The Association Between Antipsychotics and Bone Fragility: An Updated Comprehensive Review

by Michele Mercurio, Giovanna Spina, Olimpio Galasso, Giorgio Gasparini, Cristina Segura-Garcia, Pasquale De Fazio and Renato de Filippis

Diagnostics 2024, 14(23), 2745; https://doi.org/10.3390/diagnostics14232745 - 5 Dec 2024

Background: Antipsychotic drugs appear to be related to reduced bone mineral density (BMD). We conducted a narrative review to collect the available literature investigating the relationship between antipsychotic use and bone fragility. Methods: A review of the published literature was conducted and reported [...] Read more.

Background: Antipsychotic drugs appear to be related to reduced bone mineral density (BMD). We conducted a narrative review to collect the available literature investigating the relationship between antipsychotic use and bone fragility. Methods: A review of the published literature was conducted and reported through PubMed/Scopus/Cochrane libraries. We included studies using any antipsychotic treatment where the bone metabolism, osteoporosis, and/or risk of fractures has been assessed. Results: After screening 1707 items, we finally included 15 papers. A total of 3245 initial patients were identified, of whom 1357 patients with a mean age of 43.8 years underwent antipsychotic treatment and were analyzed. The mean antipsychotic treatment duration of the treated group was 15.8 ± 13.9 years. Among the included studies, two reported a statistically significant difference in lumbar BMD reduction between the antipsychotic exposed group and the control group. Femoral neck BMD levels had been reported in four of the case–control studies; two reported a statistically significant difference in femoral neck BMD reduction between the antipsychotic exposed group and the control group. Conclusions: Prolonged use of antipsychotic treatment seems to be associated with an increased risk of reduced BMD, and, consequentially, with an augmented risk of bone fragility and fractures. This effect is not limited to vulnerable groups, such as those with significant medical comorbidities, the elderly, and postmenopausal women, but may also apply to anyone using antipsychotics in the long-term. Clinicians’ awareness of antipsychotic prescriptions should optimize their potential while reducing this risk. Full article

(This article belongs to the Special Issue Advanced Diagnosis and Management of Chronic Musculoskeletal Disorders)

17 pages, 6285 KiB

Open AccessArticle

Instrument-Free Point-of-Care Diagnostic for Leishmania Parasites

by Taralyn J. Wiggins, Ruonan Peng, Ruth V. Bushnell, John K. Tobin, David A. MacLeod, Ke Du, Gregory J. Tobin and Stephen J. Dollery

Diagnostics 2024, 14(23), 2744; https://doi.org/10.3390/diagnostics14232744 - 5 Dec 2024

Background/Objective: Leishmaniasis is the second deadliest parasitic disease in the world, after malaria, with an estimated 1.6 million new cases each year. While cutaneous leishmaniasis can result in permanent scars from lesions after treatment, the mucocutaneous and visceral diseases can result in life-altering [...] Read more.

Background/Objective: Leishmaniasis is the second deadliest parasitic disease in the world, after malaria, with an estimated 1.6 million new cases each year. While cutaneous leishmaniasis can result in permanent scars from lesions after treatment, the mucocutaneous and visceral diseases can result in life-altering and life-threatening complications. Accurate species diagnosis is critical for treatment and follow-up, and while PCR-based diagnostics can provide sensitive parasite detection and species identification, they are slow, expensive, and not suitable for low-resource settings. In this publication, we describe our efforts to develop a simple, affordable, and instrument-free Leishmania DNA diagnostic that can be used in both high-tech settings and the field. Methods: Computational biology was utilized to design region-targeted RPA oligos and the corresponding CRISPR guides for the detection of all Leishmania species as well as the specific identification of L. (V.) panamensis as a predictor of mucocutaneous disease. Then, we executed systematic approaches for parasite lysis, RPA amplification of DNA, and fluorescent CRISPR crRNA detection. Results: We have demonstrated the ability to detect single-digit parasites without compromising the specificity in identifying single species as the proof of concept for a point-of-care diagnostic. Individual assays were carried out in succession, culminating in an unquenched fluorescent signal quantifiable over negative control. Conclusions: The described work is the foundation which will be implemented into a three-track [all Leishmania, mucocutaneous or visceral only, and a human positive control] assay that we plan to utilize in a Funnel Adapted Sensing Tube (FAST) single use, instrument-free, and affordable diagnostic. Full article

(This article belongs to the Section Point-of-Care Diagnostics and Devices)

► Show Figures

Figure 1

10 pages, 464 KiB

Open AccessArticle

The Clinical Utility of Assessing Orthostatic Intolerance in Adolescents with Sport-Related Concussion, a Retrospective Study

by Mohammad N. Haider, Jule Deren, Karim Khaled, Cathlyn Corrado, Haley M. Chizuk, Jeffrey C. Miecznikowski and John J. Leddy

Diagnostics 2024, 14(23), 2743; https://doi.org/10.3390/diagnostics14232743 - 5 Dec 2024

Background/Objective: Assessing Orthostatic Intolerance (OI, symptoms upon standing from supine) is recommended in athletes with sport-related concussions (SRCs), as this is caused by impairments in the cardiovascular autonomic nervous system (cANS). Early Exercise Intolerance (Early EI, symptoms on light physical exertion) is also [...] Read more.

Background/Objective: Assessing Orthostatic Intolerance (OI, symptoms upon standing from supine) is recommended in athletes with sport-related concussions (SRCs), as this is caused by impairments in the cardiovascular autonomic nervous system (cANS). Early Exercise Intolerance (Early EI, symptoms on light physical exertion) is also due to impairments in the cANS but is difficult to incorporate into outpatient clinical practice (cost of personnel, time, equipment). The purpose of this study was to determine if we could use OI to screen for Early EI, as well as understand differences between adolescents who do and do not report OI. Methods: Retrospective chart review. Adolescents with physician-diagnosed SRC performed the 2 min supine to 1 min standing OI test and the Buffalo Concussion Treadmill Test (BCTT) during their first post-SRC visit. Early EI was defined as more-than-mild symptom exacerbation at a heart rate (HR) below 135 bpm on the BCTT; OI was defined as new or increased symptoms of dizziness or lightheadedness on postural change. The sensitivity, specificity and diagnostic accuracy were calculated. Participants with and without OI were compared. Results: In total, 166 adolescents (mean 15.4 years, 58.8% male) were seen a mean of 5.5 days after injury; 48.2% had OI and 52.4% had Early EI, but there was no association between the two measures (Phi = 0.122, p = 0.115). The sensitivity and specificity (with 95% confidence intervals) for OI to screen for Early EI were 54.0% (43.5, 64.3) and 58.2% (47.2, 68.7), respectively. Adolescents with OI had a higher incidence of delayed recovery (24% vs. 9%, p = 0.012). Conclusions: Although both measures seem to be related to impaired autonomic function after SRC, OI has limited accuracy in screening for Early EI, which suggests that their etiologies may be different. Nevertheless, the assessment of OI has clinical utility in the management of SRC. Full article

(This article belongs to the Special Issue The Assessment, Diagnosis, and Management of Sport-Related Concussion in Childhood and Adolescence)

► Show Figures

Figure 1

15 pages, 11818 KiB

Open AccessArticle

Two-Step Image Registration for Dual-Layer Flat-Panel Detectors

by Dong Sik Kim and Dayeon Lee

Diagnostics 2024, 14(23), 2742; https://doi.org/10.3390/diagnostics14232742 - 5 Dec 2024

Background: For a single exposure in radiography, a dual-layer flat-panel detector (DFD) can provide spectral images and efficiently utilize the transmitted X-ray photons to improve the detective quantum efficiency (DQE) performance. In this paper, to acquire high DQE performance, we present a registration [...] Read more.

Background: For a single exposure in radiography, a dual-layer flat-panel detector (DFD) can provide spectral images and efficiently utilize the transmitted X-ray photons to improve the detective quantum efficiency (DQE) performance. In this paper, to acquire high DQE performance, we present a registration method for X-ray images acquired from a DFD, considering only spatial translations and scale factors. The conventional registration methods have inconsistent estimate accuracies depending on the captured object scene, even when using entire pixels, and have deteriorated frequency performance because of the interpolation method employed. Methods: The proposed method consists of two steps; the first step is conducting a spatial translation according to the Fourier shift theorem with a subpixel registration, and the second step is conducting a scale transformation using cubic interpolation to process the X-ray projections. To estimate the subpixel spatial translation, a maximum-amplitude method using a small portion of the slant-edge phantom is used. Results: The performance of the proposed two-step method is first theoretically analyzed and then observed by conducting extensive experiments and measuring the noise power spectrum and DQE. An example for registering chest images is also shown. For a DFD, the proposed method shows a better registration result than the conventional one-step registration. The DQE improvement was more than 56% under RQA 9 compared to the single flat-panel detector case. Conclusions: The proposed two-step registration method can efficiently provide aligned image pairs from the DFD to improve the DQE performance at low doses and, thus, increase the accuracy of clinical diagnosis. Full article

(This article belongs to the Special Issue Optimization of Clinical Imaging: From Diagnosis to Prognosis)

► Show Figures

Figure 1

11 pages, 468 KiB

Open AccessSystematic Review

Quality Assessment of MRI-Radiomics-Based Machine Learning Methods in Classification of Brain Tumors: Systematic Review

by Shailesh S. Nayak, Saikiran Pendem, Girish R. Menon, Niranjana Sampathila and Prakashini Koteshwar

Diagnostics 2024, 14(23), 2741; https://doi.org/10.3390/diagnostics14232741 - 5 Dec 2024

Background: Brain tumors present a complex challenge in clinical oncology, where precise diagnosis and classification are pivotal for effective treatment planning. Radiomics, a burgeoning field in neuro-oncology, involves extracting and analyzing numerous quantitative features from medical images. This approach captures subtle spatial and [...] Read more.

Background: Brain tumors present a complex challenge in clinical oncology, where precise diagnosis and classification are pivotal for effective treatment planning. Radiomics, a burgeoning field in neuro-oncology, involves extracting and analyzing numerous quantitative features from medical images. This approach captures subtle spatial and textural information imperceptible to the human eye. However, implementation in clinical practice is still distant, and concerns have been raised regarding the methodological quality of radiomic studies. Methodology: A systematic literature search was performed to identify original articles focused on the use of radiomics for brain tumors from 2015 based on the inclusion and exclusion criteria. The radiomic features train machine learning models for glioma classification, and data are split into training and testing subsets to validate the model accuracy, reliability, and generalizability. The present study systematically reviews the status of radiomic studies concerning brain tumors, also using the radiomics quality score (RQS) to assess the quality of the methodology used in each study. Results: A systematic search of PubMed identified 300 articles, with 18 studies meeting the inclusion criteria for qualitative synthesis. These studies collectively demonstrate the potential of radiomics-based machine learning models in accurately distinguishing between glioma subtypes and grades. Various imaging modalities, including MRI, PET/CT, and advanced techniques like ASL and DTI, were utilized to extract radiomic features for analysis. Machine learning algorithms such as deep learning networks, support vector machines, random forests, and logistic regression were applied to develop predictive models. Conclusions: The present study indicates high accuracies in glioma classification, outperforming traditional imaging methods and inexperienced radiologists in some cases. Further validation and standardization efforts are warranted to facilitate the clinical integration of radiomics into routine practice, ultimately enhancing glioma management and patient outcomes. Open science practices: Machine learning using MRI radiomic features provides a simple, noninvasive, and cost-effective method for glioma classification, enhancing transparency, reproducibility, and collaboration within the scientific community. Full article

(This article belongs to the Special Issue Research Update on Magnetic Resonance Imaging)

► Show Figures

Graphical abstract

19 pages, 5352 KiB

Open AccessArticle

Interpretable Multi-Label Classification for Tibiofibula Fracture 2D CT Images with Selective Attention and Data Augmentation

by Chan Sik Han, Sun Woo Jeong, Hyung Won Kim, Seung Myung Choi and Keon Myung Lee

Diagnostics 2024, 14(23), 2740; https://doi.org/10.3390/diagnostics14232740 - 5 Dec 2024

Background: Tibiofibula fractures occur across all age groups, and postoperative complications are frequent. An accurate and rapid classification methodology for these fractures could significantly assist physicians. Clinically, tibiofibula fractures occur at various locations, and the fracture types are not evenly distributed. Methods: This [...] Read more.

Background: Tibiofibula fractures occur across all age groups, and postoperative complications are frequent. An accurate and rapid classification methodology for these fractures could significantly assist physicians. Clinically, tibiofibula fractures occur at various locations, and the fracture types are not evenly distributed. Methods: This paper presents a deep learning model for the interpretable multi-label classification of tibiofibula fractures in two-dimensional (2D) CT scan images, addressing the challenges posed by a limited sample size and an uneven distribution of fracture types. We retrospectively collected 2494 2D CT images from 168 patients with tibia or fibula fractures. The types of fractures identified in the CT scan images were classified according to the AO/OTA fracture classification. A deep learning model was developed to classify composite fractures in 2D CT images, providing visual interpretation for each identified class. The visual interpretation was given with the saliency maps constructed by the Grad-CAM++ method. The deep learning model was trained using data augmentation techniques to address class imbalance and the limited dataset size. Results: Our experiments demonstrated that the proposed model achieved a mean average precision (mAP) of 95.71%. Conclusions: The saliency map-based visual interpretation enables the verification of whether the model provides reliable decision-making for classification. Full article

(This article belongs to the Special Issue Advanced Musculoskeletal Imaging in Clinical Diagnostics)

► Show Figures

Figure 1

11 pages, 690 KiB

Open AccessArticle

Comparison of Modified Labor Induction Strategies for Pregnant Women at a Single Tertiary Center Before and During the COVID-19 Pandemic

by Yi-Sin Tan, Ching-Chang Tsai, Hsin-Hsin Cheng, Yun-Ju Lai, Pei-Fang Lee, Te-Yao Hsu and Kun-Long Huang

Diagnostics 2024, 14(23), 2739; https://doi.org/10.3390/diagnostics14232739 - 5 Dec 2024

Background: The COVID-19 pandemic has substantially impacted healthcare systems and obstetric practices worldwide. Labor induction is a common procedure for preventing obstetric complications in high-risk populations. This study evaluated perinatal outcomes of labor induction using a modified management protocol in a tertiary care [...] Read more.

Background: The COVID-19 pandemic has substantially impacted healthcare systems and obstetric practices worldwide. Labor induction is a common procedure for preventing obstetric complications in high-risk populations. This study evaluated perinatal outcomes of labor induction using a modified management protocol in a tertiary care center during the COVID-19 pandemic. Methods: We conducted a retrospective study by reviewing electronic structured delivery records of women who underwent elective labor induction between June 2020 and October 2022. We analyzed maternal characteristics, maternal outcomes, and neonatal outcomes during the pre-pandemic (June 2020 to May 2021) and pandemic periods (May 2021 to October 2022). Results: The study included 976 cases: 325 pregnancies in the pre-pandemic group and 651 in the pandemic group. The pandemic group showed earlier gestational age at delivery (39 vs. 40 weeks, p < 0.01) and lower body mass index (27.1 vs. 27.5 kg/m², p = 0.03). During the pandemic period, we observed a significant increase in labor induction cases and a decrease in cesarean sections. Neonatal outcomes, including Apgar scores and intensive care admissions, showed no significant differences between groups. Subgroup analysis identified advanced maternal age (OR = 1.08; 95% CI = 1.03–1.14; p < 0.01) and primiparity (OR = 5.24; 95% CI = 2.75–9.99; p < 0.01) as independent risk factors for cesarean delivery. Conclusions: Even under modified protocols for labor induction during the COVID-19 pandemic, more pregnancies underwent labor induction while achieving a significant reduction in cesarean sections. Advanced maternal age and primiparity were identified as independent risk factors associated with cesarean delivery. Full article

(This article belongs to the Special Issue Advancements in Maternal–Fetal Medicine)

► Show Figures

Figure 1

18 pages, 685 KiB

Open AccessArticle

An Efficient Deep Learning Approach for Malaria Parasite Detection in Microscopic Images

by Sorio Boit and Rajvardhan Patil

Diagnostics 2024, 14(23), 2738; https://doi.org/10.3390/diagnostics14232738 - 5 Dec 2024

Background: Malaria is a life-threatening disease spread by infected mosquitoes, affecting both humans and animals. Its symptoms range from mild to severe, including fever, muscle discomfort, coma, and kidney failure. Accurate diagnosis is crucial but challenging, relying on expert technicians to examine blood [...] Read more.

Background: Malaria is a life-threatening disease spread by infected mosquitoes, affecting both humans and animals. Its symptoms range from mild to severe, including fever, muscle discomfort, coma, and kidney failure. Accurate diagnosis is crucial but challenging, relying on expert technicians to examine blood smears under a microscope. Conventional methods are inefficient, while machine learning approaches struggle with complex tasks and require extensive feature engineering. Deep learning, however, excels in complex tasks and automatic feature extraction. Objective: This paper presents EDRI, which is a novel hybrid deep learning model that integrates multiple architectures for malaria detection from red blood cell images. The EDRI model is designed to capture diverse features and leverage multi-scale analysis. Methods: The proposed EDRI model is trained and evaluated on the NIH Malaria dataset comprising 27,558 labeled microscopic red blood cell images. Results: Experiments demonstrate its effectiveness, achieving an accuracy of 97.68% in detecting malaria, making it a valuable tool for clinicians and public health professionals. Conclusions: The results demonstrate the effectiveness of proposed model’s ability to detect malaria parasite from red blood cell images, offering a robust tool for rapid and reliable malaria diagnosis. Full article

(This article belongs to the Topic Deep Learning for Medical Image Analysis and Medical Natural Language Processing)

► Show Figures

Figure 1

12 pages, 3659 KiB

Open AccessArticle

Nosocomial Bacterial Bronchopneumonia and SARS-CoV-2 Pneumonia in Patients with Traumatic Injuries: Imaging Aspects and Macroscopic and Microscopic Findings of Lung Tissue

by Georgiana-Denisa Gavriliţă, Ştefania Ungureanu, Ecaterina Dăescu, Mircea-Nicu Gavriliță, Cristian-Cosmin Ţîncu and Alexandra Enache

Diagnostics 2024, 14(23), 2737; https://doi.org/10.3390/diagnostics14232737 - 5 Dec 2024

Background: Patients with traumatic injuries often represent the best hosts for healthcare-associated infections, especially pneumonia or bronchopneumonia. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic raised serious problems in the diagnosis and treatment of patients that had a SARS-CoV-2 infection and associated [...] Read more.

Background: Patients with traumatic injuries often represent the best hosts for healthcare-associated infections, especially pneumonia or bronchopneumonia. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic raised serious problems in the diagnosis and treatment of patients that had a SARS-CoV-2 infection and associated nosocomial bacterial bronchopneumonia. In forensic medicine, these aspects need to be considered when establishing the cause of death and the distinction between the two types of bronchopneumonia is of particular importance. Methods: We present nine cases that were autopsied at the Institute of Forensic Medicine Timisoara between 1 June 2020 and 31 December 2021, that presented traumatic injuries, a SARS-CoV-2 infection, and bronchopneumonia. Results: We focused on the main findings of the macroscopic and microscopic aspects of lung tissues. Conclusions: We consider that the aspects we highlighted in this study, can be very useful in forensic practice in cases with a pluri-factorial pathology. Full article

(This article belongs to the Section Diagnostic Microbiology and Infectious Disease)

► Show Figures

Figure 1

36 pages, 8015 KiB

Open AccessArticle

A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis

by Sameh Abd El-Ghany, Mohammed Elmogy, Mahmood A. Mahmood and A. A. Abd El-Aziz

Diagnostics 2024, 14(23), 2736; https://doi.org/10.3390/diagnostics14232736 - 5 Dec 2024

Background: Tuberculosis (TB) is a bacterial disease that mainly affects the lungs, but it can also impact other parts of the body, such as the brain, bones, and kidneys. The disease is caused by a bacterium called Mycobacterium tuberculosis and spreads through [...] Read more.

Background: Tuberculosis (TB) is a bacterial disease that mainly affects the lungs, but it can also impact other parts of the body, such as the brain, bones, and kidneys. The disease is caused by a bacterium called Mycobacterium tuberculosis and spreads through the air when an infected person coughs or sneezes. TB can be inactive or active; in its active state, noticeable symptoms appear, and it can be transmitted to others. There are ongoing challenges in fighting TB, including resistance to medications, co-infections, and limited resources in areas heavily affected by the disease. These issues make it challenging to eradicate TB. Objective: Timely and precise diagnosis is essential for effective control, especially since TB often goes undetected and untreated, particularly in remote and under-resourced locations. Chest X-ray (CXR) images are commonly used to diagnose TB. However, difficulties can arise due to unusual findings on X-rays and a shortage of radiologists in high-infection areas. Method: To address these challenges, a computer-aided diagnosis (CAD) system that uses the vision transformer (ViT) technique has been developed to accurately identify TB in CXR images. This innovative hybrid CAD approach combines ViT with Principal Component Analysis (PCA) and machine learning (ML) techniques for TB classification, introducing a new method in this field. In the hybrid CAD system, ViT is used for deep feature extraction as a base model, PCA is used to reduce feature dimensions, and various ML methods are used to classify TB. This system allows for quickly identifying TB, enabling timely medical action and improving patient outcomes. Additionally, it streamlines the diagnostic process, reducing time and costs for patients and lessening the workload on healthcare professionals. The TB chest X-ray dataset was utilized to train and evaluate the proposed CAD system, which underwent pre-processing techniques like resizing, scaling, and noise removal to improve diagnostic accuracy. Results: The performance of our CAD model was assessed against existing models, yielding excellent results. The model achieved remarkable metrics: an average precision of 99.90%, recall of 99.52%, F1-score of 99.71%, accuracy of 99.84%, false negative rate (FNR) of 0.48%, specificity of 99.52%, and negative predictive value (NPV) of 99.90%. Conclusions: This evaluation highlights the superior performance of our model compared to the latest available classifiers. Full article

(This article belongs to the Special Issue Advances in Machine Learning for Computer-Aided Diagnosis in Biomedical Imaging—2nd Edition)

► Show Figures

Figure 1

12 pages, 928 KiB

Open AccessArticle

Efficacy of the Geriatric Trauma Outcome Score (GTOS) in Predicting Mortality in Trauma Patients: A Retrospective Cross-Sectional Study

by Ching-Ya Huang, Shao-Chun Wu, Tsan-Shiun Lin, Pao-Jen Kuo, Johnson Chia-Shen Yang, Shiun-Yuan Hsu and Ching-Hua Hsieh

Diagnostics 2024, 14(23), 2735; https://doi.org/10.3390/diagnostics14232735 - 5 Dec 2024

Background: Trauma has a profound impact on mortality as well as short- and long-term health outcomes. For trauma patients to receive medical care in a timely manner, early identification and risk assessment are essential. The Geriatric Trauma Outcome Score (GTOS), which was created [...] Read more.

Background: Trauma has a profound impact on mortality as well as short- and long-term health outcomes. For trauma patients to receive medical care in a timely manner, early identification and risk assessment are essential. The Geriatric Trauma Outcome Score (GTOS), which was created by combining age, the Injury Severity Score (ISS), and the requirement for packed red blood cell transfusion, has proven to be a valuable prognostic tool for elderly trauma patients, though its applicability to general trauma patients is still understudied. Methods: This retrospective study analyzed data from the Trauma Registry System at a Level I trauma center in southern Taiwan, covering the period from 1 January 2009 to 31 December 2021. This study included 40,068 trauma patients aged 20 years and older. Statistical analyses included chi-square tests, ANOVA, Mann–Whitney U tests, and multivariate analyses to identify independent risk factors for mortality. The predictive performance of the GTOS was assessed using the area under the curve (AUC) of the receiver operating characteristic curve. Results: The final study population included 40,068 patients, with 818 deaths and 39,250 survivors. Deceased patients had higher GTOS scores (mean 132.8 vs. 76.1, p < 0.001) and required more blood transfusions (mean 4.0 vs. 0.3 units, p < 0.001) compared to survivors. The optimal GTOS cut-off value for predicting mortality was 104.5, with a sensitivity of 82.6% and a specificity of 84.3% (AUC = 0.917). A high GTOS score was associated with increased mortality (9.6 vs. 0.4%, p < 0.001) compared with a low GTOS score, even after adjusting for confounding factors (adjusted mortality rate of 2.86, p < 0.001), and a longer hospital stay (14.0 vs. 7.7 days, p < 0.001). Conclusions: The GTOS is a valuable prognostic tool for predicting mortality in trauma patients, providing a simple and rapid assessment method. Its high predictive accuracy supports its use in broader trauma patient populations beyond the elderly. Further studies are recommended to refine and validate the GTOS in diverse trauma settings to enhance its clinical utility. Full article

(This article belongs to the Section Clinical Diagnosis and Prognosis)

► Show Figures

Figure 1

13 pages, 1956 KiB

Open AccessArticle

Advancing Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) Diagnosis: A Comparative Analysis of Machine Learning Methodologies

by Joseph J. Janicki, Bernadette M. M. Zwaans, Sarah N. Bartolone, Elijah P. Ward and Michael B. Chancellor

Diagnostics 2024, 14(23), 2734; https://doi.org/10.3390/diagnostics14232734 - 5 Dec 2024

Background/Objectives. This study aimed to improve machine learning models for diagnosing interstitial cystitis/bladder pain syndrome (IC/BPS) by comparing classical machine learning methods with newer AutoML approaches, utilizing biomarker data and patient-reported outcomes as features. Methods. We applied various machine learning techniques to biomarker [...] Read more.

Background/Objectives. This study aimed to improve machine learning models for diagnosing interstitial cystitis/bladder pain syndrome (IC/BPS) by comparing classical machine learning methods with newer AutoML approaches, utilizing biomarker data and patient-reported outcomes as features. Methods. We applied various machine learning techniques to biomarker data from the previous IP4IC and ICRS studies to predict the presence of IC/BPS, a disorder impacting the urinary bladder. Data were sourced from two nationwide, crowd-sourced collections of urine samples involving 2009 participants. The models utilized included logistic regression, support vector machines, random forests, k-nearest neighbors, and AutoGluon. Results. Expanding the dataset for model training and evaluation resulted in improved performance metrics compared to previously published findings. The implementation of AutoML methods yielded enhancements in model accuracy over classical techniques. The top-performing models achieved a receiver-operating characteristic area under the curve (ROC-AUC) of up to 0.96. Conclusions. This research demonstrates an improvement in model performance relative to earlier studies, with the top model for binary classification incorporating objective urinary biomarker levels. These advancements represent a significant step toward developing a reliable classification model for the diagnosis of IC/BPS. Full article

(This article belongs to the Section Clinical Diagnosis and Prognosis)

► Show Figures

Figure 1

15 pages, 704 KiB

Open AccessArticle

Predictive Factors and Risk Assessment for Hospitalization in Chest Pain Patients Admitted to the Emergency Department

by Nadya Kagansky, David Mazor, Ayashi Wajdi, Yulia Maler Yaron, Miya Sharfman, Tomer Ziv Baran, Dana Kagansky, Gal Pachys, Yochai Levy and Daniel Trotzky

Diagnostics 2024, 14(23), 2733; https://doi.org/10.3390/diagnostics14232733 - 5 Dec 2024

Background: Chest pain is one of the most common reasons for emergency department (ED) visits. Patients presenting with inconclusive symptoms complicate the diagnostic process and add to the burden upon the ED. This study aimed to determine factors possibly influencing ED decisions on [...] Read more.

Background: Chest pain is one of the most common reasons for emergency department (ED) visits. Patients presenting with inconclusive symptoms complicate the diagnostic process and add to the burden upon the ED. This study aimed to determine factors possibly influencing ED decisions on hospitalization versus discharge for patients with the diagnosis of chest pain. Methods: In the cohort study including 400 patients admitted to the emergency unit with a working diagnosis of chest pain, data on demographics, medical history, symptoms, lab results, and risk scores were collected from the medical records of patients admitted to the ED with a working diagnosis of chest pain. To reduce potential bias, the analysis was restricted to 330 patients who were referred to the ED by a primary care provider or clinic for chest pain. Results: Of 330 patients admitted to the ED, 58.5% were discharged, and 41.5% were hospitalized. Hospitalized patients were significantly older, with a median age of 70 versus 57 years for those discharged (p < 0.001). A higher proportion of hospitalizations occurred during the late-night shift. Significant predictors of hospitalization included hyperlipidemia (OR 3.246), diaphoresis (OR 8.525), dyspnea (OR 2.897), and hypertension (OR 1.959). Nursing home residents had a lower risk of hospitalization (OR 0.381). The area under the ROC curve for this model was 0.801 (95% CI: 0.753–0.848), indicating the predictive accuracy of the model in estimating the probability of admission. The HEART (history, ECG, age, risk factors, and troponin level) score was more effective than the TIMI (Thrombolysis in Myocardial Infarction) score in predicting the need for hospitalization, with an area under the curve (AUC) of 0.807 compared to 0.742 for TIMI. Conclusions: The HEART score in comparison with TIMI score proved especially valuable for quick risk assessment for hospitalization. The model that included hyperlipidemia, diaphoresis, dyspnea, and hypertension was the most predictive for the risk of hospitalization. Further research with larger populations is needed to validate these findings. Full article

(This article belongs to the Section Clinical Diagnosis and Prognosis)

► Show Figures

Figure 1

More Articles...

Submit to Diagnostics Review for Diagnostics

Journal Menu

Journal Browser

► Journal Browser

Highly Accessed Articles

View More...

Latest Books

More Books and Reprints...

E-Mail Alert

News

6 December 2024
MDPI INSIGHTS: The CEO’s Letter #18 – MDPI UK, Basel Job Fair, CETEF’24

5 November 2024
MDPI INSIGHTS: The CEO's Letter #17 - OA Week, Basel Open Day, Beijing Graphene Forum

1 November 2024
Meet Us at the 63rd Annual Meeting of Japanese Retina and Vitreous Society, 6–8 December 2024, Osaka, Japan

More News & Announcements...

Topics

Propose a Topic

Topic in Biomedicines, Clinics and Practice, Diagnostics, JCM, Rheumato

Rheumatic Disorder: From Basic Science to Clinical Practice Topic Editors: Giulia Cassone, Caterina Vacchi, Andreina Manfredi
Deadline: 20 December 2024

Topic in Cancers, Diagnostics, JCM, Pharmaceutics, Current Oncology

From Basic Research to a Clinical Perspective in Oncology Topic Editors: Bianca Gǎlǎţeanu, Octav Ginghină, Ariana Hudita
Deadline: 31 December 2024

Topic in Diagnostics, Healthcare, JCM, JFMK, Medicina, Therapeutics

New Advances in Musculoskeletal Disorders Topic Editors: Dohyung Kee, Inseok Lee
Deadline: 10 January 2025

Topic in BioMedInformatics, Cancers, Cells, Diagnostics, Immuno, IJMS

Inflammatory Tumor Immune Microenvironment Topic Editors: William Cho, Anquan Shang
Deadline: 15 March 2025

More Topics

Conferences

Announce Your Conference

19–20 March 2025 [IOCCR 2025] Present your work at the 1st International Online Conference on Clinical Reports

More Conferences...

Special Issues

Propose a Special Issue

Special Issue in Diagnostics

Ultrasound in the Diagnosis and Management of Skin Diseases Guest Editors: Miklós Gyöngy, Norbert Kiss, Joanna Czajkowska
Deadline: 15 December 2024

Special Issue in Diagnostics

Fifth Anniversary of "Machine Learning and Artificial Intelligence in Diagnostics" Section Guest Editors: Dania Cioni, Salvatore Claudio Fanni
Deadline: 20 December 2024

Special Issue in Diagnostics

Biomarkers and Clinical Imaging for the Diagnosis, Prevention, and Management of Bone and Soft Tissue Decay Guest Editor: Paolo Gargiulo
Deadline: 20 December 2024

Special Issue in Diagnostics

AI and Big Data in Healthcare Guest Editors: Miguel Mascarenhas, Guilherme Macedo
Deadline: 31 December 2024

More Special Issues

Topical Collections

Topical Collection in Diagnostics

Medical Optical Imaging Collection Editor: Kwang Gi Kim

Topical Collection in Diagnostics

Editorial Board Members' Collection Series: Diagnostic Approaches to Gastrointestinal and Pancreatic Diseases Collection Editors: Paolo Aseni, Ervin Toth

Topical Collection in Diagnostics

Diagnostic Sensors Collection Editors: Xavier Muñoz-Berbel, Michele Dei, Miguel A. Pellitero

Topical Collection in Diagnostics

Nuclear Medicine and Molecular Imaging Technology Collection Editor: Andreas Kjaer

More Topical Collections

Back to TopTop