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Automated Assessment of Ki-67 Labeling Index Using Cell-Level Detection and Classification in Whole-Slide Images -
Fully Automated Serum LC-MS/MS Platform and Pediatric Reference Intervals for Organic Acids, Amino Acids, and Acylcarnitines in Children (Ages 0–6 Years): Toward Quantitative Diagnosis of Inborn Errors of Metabolism -
Age and Sex Matter: Phenotypic Heterogeneity, Diagnostic Gaps, and Screening Tool Performance in Obstructive Sleep Apnea—A 10-Year Sleep Clinic Cohort Study -
Comprehensive Genomic Profiling for Precision Oncology: Analytical Validation and Clinical Utility in Solid Tumors -
Contrast Enhancement Is Associated with a Higher DSC MRI-Derived Cerebral Metabolic Rate of Oxygen Index in Untreated Glioblastoma
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 - Q1 (Internal Medicine)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 21.6 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the second half of 2025).
- 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 journals for Diagnostics include: LabMed and AI in Medicine.
Impact Factor:
3.3 (2024);
5-Year Impact Factor:
3.3 (2024)
Latest Articles
Machine-Learning-Based Disease Diagnosis and Prediction: Progress, Perspectives, and the Path Forward
Diagnostics 2026, 16(12), 1844; https://doi.org/10.3390/diagnostics16121844 (registering DOI) - 15 Jun 2026
Abstract
The convergence of machine learning (ML) and clinical medicine has significantly reshaped modern healthcare [...]
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(This article belongs to the Special Issue Machine-Learning-Based Disease Diagnosis and Prediction)
Open AccessArticle
Phalangeal Bone Mineral Density Mapping Using Quantitative CT: Implications for Hand Surgery Fixation Planning
by
Zoe K. Papadopoulou, Konstantinos N. Malizos, Filippos Filippou, Vasileios Raoulis, Alexis T. Kermanidis, Michail E. Klontzas and Aristidis H. Zibis
Diagnostics 2026, 16(12), 1843; https://doi.org/10.3390/diagnostics16121843 (registering DOI) - 15 Jun 2026
Abstract
Objective: To quantify and map bone mineral density (BMD) at the bases of human finger phalanges using computed tomography (CT) with a calibration phantom and to compare BMD both between and within digits. Methods: Ten cadaveric hands (H1 to H10) were CT scanned
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Objective: To quantify and map bone mineral density (BMD) at the bases of human finger phalanges using computed tomography (CT) with a calibration phantom and to compare BMD both between and within digits. Methods: Ten cadaveric hands (H1 to H10) were CT scanned with a Model 3 CT Calibration Phantom (Mindways). All data were processed in the Horos software (Version 4.0.0) and the regions of interest (ROIs) at each phalangeal base were delineated. Hounsfield Units (HU) were converted to BMD (mg/cm3) per the phantom framework. Descriptive statistics and repeated-measures ANOVA analyses were performed for each digit and corresponding phalangeal level (proximal, middle, distal). Inter-digital comparisons were performed at corresponding phalanx levels and intra-digital variations were analyzed within digits across phalangeal levels. Results: Mean BMD varied across digits and phalangeal levels. At the proximal phalanx base, the thumb and index fingers exhibited the highest values, whereas at the middle phalanx base the middle and ring fingers demonstrated the highest mean BMD values. At the distal phalanx base, the little finger demonstrated the highest BMD value, while the lowest value was observed at the distal phalanx of the index finger. Intra-digital analysis revealed distinct distribution patterns: BMD decreased distally in the thumb and index fingers, peaked at the middle phalanx in the middle and ring fingers, and was highest distally in the little finger. Repeated-measures ANOVA demonstrated statistically significant intra-digital differences in the thumb and index fingers, whereas no statistically significant inter-digital differences were observed across corresponding phalangeal levels. Conclusions: CT-based, phantom-calibrated BMD mapping at the bases of the phalanges demonstrates substantial intra-digital variability and descriptive inter-digital differences. These site-specific findings may provide additional information relevant to implant selection and preoperative planning for fixation in phalangeal fractures and tendon- or ligament-to-bone insertion injuries in hand surgery.
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(This article belongs to the Special Issue Musculoskeletal Imaging in Clinical Practice: From Qualitative Diagnosis to Quantitative Analysis)
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Open AccessArticle
A National Audit of Mammography Systems Settings That May Affect the Output of Artificial Intelligence Software
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Alistair Mackenzie, John Loveland, Leila Farshadi, Carlijn Roozemond and Ruben E. van Engen
Diagnostics 2026, 16(12), 1842; https://doi.org/10.3390/diagnostics16121842 (registering DOI) - 14 Jun 2026
Abstract
Background: Artificial Intelligence (AI) software in mammography is trained on a set of processed images and may be less effective when applied to images acquired on different systems or systems with different processing and/or acquisition settings. The aim of this work was to
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Background: Artificial Intelligence (AI) software in mammography is trained on a set of processed images and may be less effective when applied to images acquired on different systems or systems with different processing and/or acquisition settings. The aim of this work was to undertake a retrospective audit of a large number of mammography systems in the United Kingdom and identify the number of differences in image acquisition and processing factors. Methods: Images of the TORMAM phantom are acquired as part of the routine quality control programme. Data from the DICOM header of these images were extracted to provide a snapshot in time of the system configurations. A longitudinal audit of DICOM header data for all of the Hologic systems was tested by one medical physics department (MPD1) over 14 years. Results: We received results from 28 UK medical physics services for 498 systems. There were 7 different models of mammography systems, each with up to 7 different versions of acquisition workstation software. Each mammographic model had multiple image processing versions, including bespoke settings. The GE had two dose settings, while Siemens systems had a range of doses from 80% to 150% of the standard dose. In the longitudinal audit, there were between 2 and 6 software versions in concurrent use on the Hologic systems tested by MPD1. Conclusions: This study showed the heterogeneity of system setup across the UK in a single year, as well as changes to system setup over time. These differences may affect the outcomes of both AI and human readers. There are responsibilities on AI suppliers, mammography equipment manufacturers, breast-screening units, and medical physics services to ensure outcomes are not adversely affected by differences or changes in mammography equipment configurations.
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(This article belongs to the Section Medical Imaging and Theranostics)
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Open AccessArticle
Phenotypic Heterogeneity in Crohn’s Disease-Associated Intestinal Strictures: An Exploratory Retrospective Cohort Study
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Stefano Fusco, Juliette Nesseler, Lisa Minn, Sabrina Groß, Nisar P. Malek and Christoph R. Werner
Diagnostics 2026, 16(12), 1841; https://doi.org/10.3390/diagnostics16121841 (registering DOI) - 14 Jun 2026
Abstract
Background: Crohn’s disease-associated intestinal strictures represent a major source of morbidity and frequently require endoscopic or surgical intervention. However, patients with stricturing Crohn’s disease demonstrate substantial clinical heterogeneity regarding disease localization, penetrating complications, systemic manifestations, metabolic alterations, and treatment exposure. This study
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Background: Crohn’s disease-associated intestinal strictures represent a major source of morbidity and frequently require endoscopic or surgical intervention. However, patients with stricturing Crohn’s disease demonstrate substantial clinical heterogeneity regarding disease localization, penetrating complications, systemic manifestations, metabolic alterations, and treatment exposure. This study aimed to explore phenotypic heterogeneity within patients with Crohn’s disease-associated intestinal strictures. Methods: In this retrospective exploratory cohort study, 96 patients with Crohn’s disease-associated intestinal strictures treated at a tertiary referral center between 2014 and 2024 were included. Clinical, structural, metabolic, and treatment-related variables were analyzed. Univariate analyses were performed using chi-square, Fisher’s exact test, Student’s t-test, or Mann–Whitney U test as appropriate. Exploratory multivariable logistic regression models were constructed to explore relationships between different clinical phenotypes and disease-related characteristics, including extraintestinal manifestations (EIMs), smoking status, penetrating disease manifestations, hepatic steatosis, stenosis localization, and abscess formation. Given the limited sample size and event numbers in several subgroup analyses, all multivariable analyses were considered exploratory and hypothesis-generating. Results: The cohort demonstrated a heterogeneous clinical presentation with a high prevalence of perianal disease, penetrating complications, prior intestinal surgery, and biologic therapy exposure. Female sex (OR 4.63, p = 0.044), autoimmune disease (OR 23.5, p = 0.049), rectal stenosis (inverse association; OR 0.08, p = 0.041), and exposure to multiple biologic therapies (OR 20.11, p = 0.036) remained associated with EIMs after multivariable adjustment. Smoking status was associated with anastomotic stenosis (OR 3.16, p = 0.023) and inversely associated with female sex (OR 0.35, p = 0.036). Phenotype-oriented analyses further suggested clustering of penetrating disease manifestations, including associations between intestinal fistulas, perianal fistulas, and abscess formation. Hepatic steatosis demonstrated exploratory associations with intestinal fistulas, intestinal resection, and appendectomy. Several analyses demonstrated wide confidence intervals and should therefore be interpreted cautiously. Conclusions: This exploratory retrospective cohort study highlights the substantial clinical heterogeneity observed among patients with Crohn’s disease-associated intestinal strictures. Different structural, systemic, penetrating, behavioral, and metabolic disease manifestations may indicate potentially overlapping phenotypic patterns within stricturing Crohn’s disease. Given the retrospective design, limited sample size, and exploratory statistical approach, these findings should be interpreted cautiously and require validation in larger prospective studies.
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(This article belongs to the Special Issue Diagnosis and Management of Gastrointestinal Inflammatory Disorders)
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Open AccessArticle
Hepatic Doppler Perfusion Index in Healthy Adults: Standardization, Physiological Reference Limit, and Clinical Perspectives
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Christian Lueders, Johannes Gladitz, Nils Eckstein, Judith Schulz, Thomas Kiefer, Heinz Völler, Carsten-Heinrich Weylandt and Daniel Merkel
Diagnostics 2026, 16(12), 1840; https://doi.org/10.3390/diagnostics16121840 (registering DOI) - 14 Jun 2026
Abstract
Background/Objectives: The Doppler perfusion index (DPI) quantifies the ratio of arterial to total hepatic blood flow and reflects hepatic hemodynamic balance. Its clinical applicability is limited by insufficient standardization and the absence of clearly defined physiological reference conditions. This study aimed to establish
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Background/Objectives: The Doppler perfusion index (DPI) quantifies the ratio of arterial to total hepatic blood flow and reflects hepatic hemodynamic balance. Its clinical applicability is limited by insufficient standardization and the absence of clearly defined physiological reference conditions. This study aimed to establish an upper physiological reference limit for the DPI and to assess its dependence on standardized physiological conditions in healthy adults. Methods: In this prospective study, 44 healthy adults underwent Doppler ultrasonography under standardized conditions (fasting/resting, post-exercise, postprandial). Volumetric blood flow was measured in the portal vein and via the proper hepatic artery and, where feasible, the common hepatic artery. The DPI was calculated as the ratio of arterial to total hepatic inflow. Nonparametric statistical methods were applied. Results: After exclusion of participants with non-standard hepatic arterial anatomy, 39 individuals were analyzed. The DPI varied across physiological conditions, reflecting changes in the relative contributions of arterial and portal venous inflow. Under fasting/resting conditions, values based on the proper hepatic artery showed low variability (mean 0.242 ± 0.057) and normal distribution (Shapiro–Wilk p = 0.625). The empirically derived 90th percentile was 0.30. Measurements based on the common hepatic artery were higher and more variable. Conclusions: The DPI is a physiologically dynamic parameter whose clinical use requires standardized measurement conditions. Under defined protocols, a value of approximately 0.30 may be considered an upper physiological reference limit. Standardization of acquisition and use of the proper hepatic artery enable reproducible and interpretable measurements. This provides a methodological basis for further clinical applications, including oncological contexts in which functional alterations of hepatic perfusion may be relevant.
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(This article belongs to the Special Issue Abdominal Ultrasound: A Left Behind Area—2nd Edition)
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Open AccessReview
Application of Artificial Intelligence in Breast Ultrasound Diagnosis
by
Jian Zhang, André Pfob, Eva Reisig and Lie Cai
Diagnostics 2026, 16(12), 1839; https://doi.org/10.3390/diagnostics16121839 (registering DOI) - 14 Jun 2026
Abstract
Artificial intelligence (AI) is reshaping ultrasound diagnosis by converting operator-dependent grayscale, Doppler, elastography, contrast-enhanced, automated-volume, and video data into reproducible decision support. In breast ultrasound, the most mature evidence involves benign–malignant lesion classification, BI-RADS risk stratification, reduction in unnecessary biopsy in selected low-risk
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Artificial intelligence (AI) is reshaping ultrasound diagnosis by converting operator-dependent grayscale, Doppler, elastography, contrast-enhanced, automated-volume, and video data into reproducible decision support. In breast ultrasound, the most mature evidence involves benign–malignant lesion classification, BI-RADS risk stratification, reduction in unnecessary biopsy in selected low-risk lesions, assistance for less experienced readers, automated breast volume scanning, video-based assessment, axillary staging, and prediction of biologic markers such as molecular subtype, HER2 status, Ki-67 expression, lymphovascular invasion, and nodal metastasis. AI does not replace sonographers, radiologists, pathologists, or clinical judgment; rather, it can standardize feature extraction, prompt second-reader review, quantify uncertainty, and integrate imaging with clinical context. This review summarizes current clinical applications of AI in ultrasound diagnosis, which has a strong recent multicenter evidence base. It also discusses implementation requirements, including standardized acquisition, external validation, calibration, imaging–pathology concordance, workflow integration, data security, and equity across scanners and patient populations.
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(This article belongs to the Special Issue Application of Ultrasound Imaging in Clinical Diagnosis)
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Open AccessInteresting Images
Coexistence of Tripartite Accessory Navicular Bone and Os Subfibulare
by
George Triantafyllou, Nikolaos-Achilleas Arkoudis, Christos Koutserimpas, Spyridon Prountzos, George Tsakotos, Maria Piagkou and Olympia Papakonstantinou
Diagnostics 2026, 16(12), 1838; https://doi.org/10.3390/diagnostics16121838 (registering DOI) - 13 Jun 2026
Abstract
This report describes a unique constellation of accessory ossicles, highlighting their anatomical, clinical, and radiological significance. A 43-year-old female undergoing imaging for suspected fracture was evaluated using multi-detector computed tomography (MDCT) with 1.25 mm slice thickness. Multiplanar reconstructions (axial, coronal, sagittal) and three-dimensional
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This report describes a unique constellation of accessory ossicles, highlighting their anatomical, clinical, and radiological significance. A 43-year-old female undergoing imaging for suspected fracture was evaluated using multi-detector computed tomography (MDCT) with 1.25 mm slice thickness. Multiplanar reconstructions (axial, coronal, sagittal) and three-dimensional volume-rendered images were analyzed. CT imaging revealed the coexistence of an os subfibulare and a tripartite os naviculare. Multiplanar and three-dimensional reconstructions confirmed the presence and configuration of variants. The combination of supernumerary bones and a multipartite ossicle represents an exceedingly uncommon anatomical presentation. This case illustrates an exceptional coexistence of multiple accessory ossicles, including an exceedingly rare tripartite os naviculare. Thorough radiological evaluation using MDCT and multiplanar reconstructions is essential for accurate identification and differentiation from fractures or other pathology.
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(This article belongs to the Section Medical Imaging and Theranostics)
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Open AccessPerspective
Building Expertise Across Borders: The IAEA’s Expanding Digital Education in Nuclear Medicine and Radiology
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Amir Eskander, Francesco Giammarile, Arthur Colaco Pires de Andrade, Anita Brink, Roberto C. Delgado Bolton, Enrique Estrada Lobato, Peter Knoll, Miriam Mikhail-Lette, Kgomotso Mokoala, Oscar Rollgeiser and Diana Paez
Diagnostics 2026, 16(12), 1837; https://doi.org/10.3390/diagnostics16121837 (registering DOI) - 13 Jun 2026
Abstract
Diagnostic imaging is central to clinical decision-making across many care pathways, yet the expertise needed to use these images well is unevenly distributed across health systems, with workforce limitations identified as a major barrier to equitable access, particularly in low- and middle-income countries.
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Diagnostic imaging is central to clinical decision-making across many care pathways, yet the expertise needed to use these images well is unevenly distributed across health systems, with workforce limitations identified as a major barrier to equitable access, particularly in low- and middle-income countries. Digital education has emerged as one response to this gap, offering scalability, asynchronous and just-in-time access, and the cost-efficiency required for global deployment. This paper examines the digital education portfolio of the International Atomic Energy Agency’s Nuclear Medicine and Diagnostic Imaging Section, hosted mainly on the open-access Human Health Campus, which in 2025 recorded approximately 45,800 active users and 150,000 views across 159 countries. The portfolio combines structured e-learning courses, interactive webinars, virtual conference access through the Livestream programme, and a broader repository of publications, teaching cases, and reference resources, supported by an internal e-learning framework and learning management system infrastructure. Partnerships with international scientific societies further extend the reach of expert knowledge and professional exchange. The paper argues that these initiatives are best understood not as content delivery alone but as a coordinated strategy to support diagnostic quality at the level of the practising physician, extending access to expertise and strengthening the conditions for better practice, while remaining a complement to, rather than a substitute for, supervised clinical training.
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(This article belongs to the Collection Nuclear Medicine and Molecular Imaging Technology)
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Agreement of WebCeph-Based Automated and Expert-Adjusted Cephalometric Analyses with Manual and Dolphin Tracings
by
Güray Gürler, Mustafa Serdar Toroglu and Oruc Yener Cam
Diagnostics 2026, 16(12), 1836; https://doi.org/10.3390/diagnostics16121836 (registering DOI) - 13 Jun 2026
Abstract
Background: This study aimed to compare the measurement agreement and intramethod reliability of four cephalometric analysis workflows: manual tracing, semi-automated digital analysis (Dolphin), fully automated AI-based analysis (WebCeph), and expert-adjusted AI analysis (WebCeph+). Methods: In this retrospective method-comparison study, 67 lateral cephalometric
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Background: This study aimed to compare the measurement agreement and intramethod reliability of four cephalometric analysis workflows: manual tracing, semi-automated digital analysis (Dolphin), fully automated AI-based analysis (WebCeph), and expert-adjusted AI analysis (WebCeph+). Methods: In this retrospective method-comparison study, 67 lateral cephalometric radiographs were initially included. After the exclusion of radiographs containing extreme values, 54 radiographs (35 females, 19 males; mean age: 15.0 ± 2.13 years) were analyzed. Twenty-one skeletal, dental, and soft-tissue parameters (13 angular, 8 linear) were evaluated across the four methods. Intramethod repeatability was assessed via the intraclass correlation coefficient (ICC). Intermethod comparisons were analyzed using ANOVA and post hoc pairwise tests. Pragmatic clinical relevance thresholds were predefined as ±2 degrees for angular measurements and ±2 mm for linear measurements. Results: All methods demonstrated high intramethod reliability, with ICC values exceeding 0.90 in 20 out of 21 parameters. Manual and Dolphin methods yielded statistically comparable results (p > 0.05). In contrast, WebCeph differed significantly from manual and/or Dolphin in seven parameters, including SNA, IMPA, Go-Gn length, Pog to N-perpendicular, Wits appraisal, nasolabial angle, and mentolabial angle (p < 0.05). Several discrepancies exceeded the predefined pragmatic thresholds (±2 degrees and ±2 mm), highlighting their potential clinical relevance. After expert adjustment (WebCeph+), statistically significant inter-workflow differences were no longer observed; however, residual individual-level variability remained for selected parameters. Conclusions: Fully automated WebCeph analysis showed limited agreement with manual and semi-automated methods for several clinically relevant measurements. Expert adjustment reduced systematic mean discrepancies and improved agreement with clinician-dependent workflows; however, residual individual-level variability remained for selected parameters. AI-driven cephalometric analysis should therefore be considered a supportive tool requiring specialist verification rather than an unsupervised replacement for conventional methods.
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(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
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Beyond SINS: A Critical Review of Biomechanical, Microstructural, and Radiomic Biomarkers for Predicting Fracture Risk in Spinal Metastases
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An Sen Tan, Calvin Kai En Tjio, Jonathan Jiong Hao Tan, Naresh Kumar, Wilson Ong, Shuliang Ge, Yi Liang Tan, Eric Fang, Balamurugan A Vellayappan and James Thomas Patrick Decourcy Hallinan
Diagnostics 2026, 16(12), 1835; https://doi.org/10.3390/diagnostics16121835 (registering DOI) - 13 Jun 2026
Abstract
Background/Objectives: Although the Spinal Instability Neoplastic Score (SINS) is widely used to estimate spinal metastases fracture risk and guide decisions on stabilisation procedures, prior studies have demonstrated mixed results. Patients with the same score exhibit clinically heterogeneous outcomes, with some SINS criteria correlating
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Background/Objectives: Although the Spinal Instability Neoplastic Score (SINS) is widely used to estimate spinal metastases fracture risk and guide decisions on stabilisation procedures, prior studies have demonstrated mixed results. Patients with the same score exhibit clinically heterogeneous outcomes, with some SINS criteria correlating less well with the estimated fracture risk than others. There are also barriers to implementation such as the time burden required for manual calculation and interobserver variability associated with qualitative morphological criteria. SINS also lacks sensitivity for detecting latent structural compromise in treatment-naive patients and those susceptible to the iatrogenic effects of stereotactic body radiation therapy. This review aims to evaluate emerging imaging, biomechanical, and microstructural markers with the potential to improve fracture risk stratification and prognostication for spinal oncology patients. Methods: We synthesise evidence across three innovative frontiers: (1) biomechanical modelling, including CT-derived finite element analysis and failure-load pattern models; (2) radiomics, utilizing radiomics features from radiological imaging to develop a predictive model; and (3) microstructural MRI biomarkers, exploring the translatability of the Vertebral Bone Quality score, fat fraction, and paraspinal muscle atrophy from osteoporosis to the metastatic spine. Results: Emerging biomechanical, radiomic and microstructural imaging markers show potential in addressing some limitations of traditional SINS criteria for fracture risk stratification across the spinal oncology treatment continuum, from initial diagnosis to post-radiation surveillance, thereby facilitating more precise risk assessment. However, current evidence remains largely retrospective and heterogeneous, and further validation is required before clinical adoption. Conclusions: We propose a framework that shifts the paradigm from conventional morphological scoring toward a multiparametric assessment of spinal stability.
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(This article belongs to the Special Issue Contemporary Spine Diagnostics and Management)
Open AccessArticle
Maternal Serum SIRT1 Concentrations in Intrahepatic Cholestasis of Pregnancy: Limited Diagnostic Utility in a Prospective Case—Control Study
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Dinçer Sümer, Ahmet Arif Filiz, Özgür Volkan Akbulut, Figen Günday, Gülten Çirkin Tekeş, Kutlay Bülbül, Demet Sümer, Belgin Savran Üçok and Kadriye Yakut Yücel
Diagnostics 2026, 16(12), 1834; https://doi.org/10.3390/diagnostics16121834 (registering DOI) - 13 Jun 2026
Abstract
Objective: To investigate maternal serum silent information regulator-2 protein 1 (SIRT1) levels in pregnancies complicated by intrahepatic cholestasis of pregnancy (ICP) and evaluate their diagnostic performance. Methods: This prospective case–control study included 44 pregnant women with ICP and 44 healthy pregnant
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Objective: To investigate maternal serum silent information regulator-2 protein 1 (SIRT1) levels in pregnancies complicated by intrahepatic cholestasis of pregnancy (ICP) and evaluate their diagnostic performance. Methods: This prospective case–control study included 44 pregnant women with ICP and 44 healthy pregnant controls matched according to gestational age at blood sampling and maternal body mass index. Maternal serum SIRT1 concentrations were measured using enzyme-linked immunosorbent assay (ELISA). Clinical, laboratory, and obstetric outcomes were compared between groups. Correlation, receiver operating characteristic (ROC) curve, and exploratory multivariable logistic regression analyses were performed. Results: Maternal serum SIRT1 levels were significantly lower in the ICP group compared with controls [1.06 (1.05) ng/mL vs. 1.54 (1.74) ng/mL, p = 0.005]. ROC analysis demonstrated modest discriminative performance of maternal serum SIRT1 alone for identifying ICP (AUC: 0.674, 95% CI: 0.559–0.788, p = 0.005). A SIRT1 cut-off value of ≤1.28 ng/mL yielded 63.6% sensitivity and 60.5% specificity. In contrast, ALT alone showed excellent discriminative performance (AUC: 0.927, 95% CI: 0.860–0.995, p < 0.001). Combined ROC analyses demonstrated further improvement with the ALT + albumin model (AUC: 0.962, 95% CI: 0.925–0.999), whereas addition of SIRT1 resulted in only a minimal incremental increase in AUC to 0.966 (95% CI: 0.933–0.998). Maternal serum SIRT1 concentrations were not independently associated with ICP after adjustment for laboratory parameters. Conclusions: Although maternal serum SIRT1 levels were significantly reduced in pregnancies complicated by ICP, their diagnostic performance was modest and provided minimal incremental value beyond conventional biochemical markers. Nevertheless, reduced maternal serum SIRT1 concentrations may support the involvement of inflammatory and oxidative stress-related pathways in ICP pathophysiology and warrant further mechanistic investigation.
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(This article belongs to the Section Clinical Diagnosis and Prognosis)
Open AccessArticle
Association Between Early and Long-Term Changes in Liver Stiffness in Patients with MASLD Undergoing Serial Magnetic Resonance Elastography
by
Shohei Kimura, Yutaka Yasui, Nobuharu Tamaki, Mayu Higuchi, Takuya Shima, Mina Taguchi, Yudai Yamazaki, Risa Seike, Naoki Uchihara, Yuki Tanaka, Ryohei Kobayashi, Junko Yagita, Yuka Kasano, Yasuyuki Komiyama, Kenta Takaura, Hitomi Takada, Shohei Tanaka, Chiaki Maeyashiki, Yuka Takahashi, Hiroyuki Nakanishi, Kaoru Tsuchiya, Namiki Izumi and Masayuki Kurosakiadd
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Diagnostics 2026, 16(12), 1833; https://doi.org/10.3390/diagnostics16121833 (registering DOI) - 13 Jun 2026
Abstract
Background/Objectives: Magnetic resonance elastography (MRE) provides an accurate and reproducible non-invasive assessment of liver stiffness and fibrosis severity in metabolic dysfunction-associated steatotic liver disease (MASLD). Although longitudinal changes in liver stiffness have been associated with clinical outcomes, the association between short-term and
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Background/Objectives: Magnetic resonance elastography (MRE) provides an accurate and reproducible non-invasive assessment of liver stiffness and fibrosis severity in metabolic dysfunction-associated steatotic liver disease (MASLD). Although longitudinal changes in liver stiffness have been associated with clinical outcomes, the association between short-term and longitudinal changes remains unclear. This study aimed to evaluate the association between short-term and long-term changes in MRE-derived liver stiffness in patients with MASLD undergoing serial MRE assessments. Methods: In this retrospective cohort study, 100 patients with MASLD who underwent three MRE examinations at approximately baseline, 1 year, and 3 years were analyzed. Early response was defined as a ≥19% reduction in liver stiffness at the second examination relative to baseline. The association between early response and long-term liver stiffness changes was evaluated using logistic regression analysis. Results: A total of 22 patients (22%) were classified as early responders. Early responders were significantly more likely to achieve a ≥19% reduction in liver stiffness at the third MRE compared with non-early responders (59% vs. 27%, p = 0.006). In multivariable analysis adjusting for baseline liver stiffness, early response remained independently associated with long-term improvement (odds ratio 3.41, 95% CI 1.18–9.86; p = 0.023). Higher baseline liver stiffness was also associated with subsequent improvement (OR per 1 kPa increase, 1.44, 95% CI 1.11–1.87; p = 0.006). Conclusions: Early reductions in liver stiffness measured by MRE were associated with subsequent long-term improvements in patients with MASLD, suggesting that short-term MRE changes may provide insight into subsequent longer-term stiffness changes.
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(This article belongs to the Section Clinical Diagnosis and Prognosis)
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Magnetic Resonance Imaging Segmentation of Soft Tissue in the Diagnosis of Chronic Low Back Pain: A Scoping Review
by
Wiktoria Frącz, Anita Bilska, Jakub Matuska, Pablo Herrero and Elżbieta Skorupska
Diagnostics 2026, 16(12), 1832; https://doi.org/10.3390/diagnostics16121832 (registering DOI) - 13 Jun 2026
Abstract
Background/Objectives: Despite the substantial clinical and socioeconomic burden of chronic low back pain (CLBP), objective diagnostic biomarkers remain limited. Structural alterations of the lumbosacral muscles, particularly muscle atrophy and fatty infiltration (FI), have been proposed as imaging correlates of chronic pain. This
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Background/Objectives: Despite the substantial clinical and socioeconomic burden of chronic low back pain (CLBP), objective diagnostic biomarkers remain limited. Structural alterations of the lumbosacral muscles, particularly muscle atrophy and fatty infiltration (FI), have been proposed as imaging correlates of chronic pain. This scoping review aimed to synthesize current evidence on these alterations in CLBP and characterize the imaging and segmentation methods used. Methods: The review was conducted in accordance with PRISMA-ScR guidelines and guided by the Population–Concept–Context framework. Population: adults with CLBP. Concept: MRI segmentation techniques are used to evaluate morphological soft-tissue changes. Context: clinical and research settings using MRI for CLBP evaluation. A comprehensive search of PubMed, Scopus, Embase, and Web of Science was performed for studies published between January 2014 and October 2024. Results: Twelve observational studies met the inclusion criteria. Degenerative alterations were consistently observed in CLBP and were not reported in control groups. Muscle atrophy was reported in ten studies (multifidus [MF]: 9; erector spinae [ES]: 7; psoas major [PM]: 2; paraspinal muscles [PPM]: 1; and increased FI in all studies (MF: 9; ES: 5; PM: 2; PPM: 2). Considerable heterogeneity between studies was noted. Conclusions: Lumbosacral muscles assessment may provide useful objective information for a more objective characterization of CLBP. Degenerative alterations were reported in all examined muscles except QL, with the MF most consistently affected. Changes in ES and PM may be specific for CLBP. The frequent co-occurrence of muscle atrophy and FI suggests that their combined evaluation may provide complementary information.
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(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
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Open AccessReview
Understanding CT Perfusion in Acute Ischemic Stroke: How Algorithms Shape Perfusion Maps
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Nicola Morelli, Marco Spallazzi, Marina Biondi, Eugenia Rota and Davide Colombi
Diagnostics 2026, 16(12), 1831; https://doi.org/10.3390/diagnostics16121831 (registering DOI) - 12 Jun 2026
Abstract
CT perfusion (CTP) is widely used in acute ischemic stroke imaging, particularly for treatment selection beyond conventional time windows. However, automated perfusion maps are not direct measurements of irreversible tissue injury, but estimates shaped by deconvolution strategy, temporal correction, dispersion handling, and software-specific
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CT perfusion (CTP) is widely used in acute ischemic stroke imaging, particularly for treatment selection beyond conventional time windows. However, automated perfusion maps are not direct measurements of irreversible tissue injury, but estimates shaped by deconvolution strategy, temporal correction, dispersion handling, and software-specific thresholds. This review provides a clinically oriented explanation of how CTP algorithms influence the estimation of ischemic core and hypoperfused tissue. Particular attention is given to singular value decomposition (SVD) methods, Bayesian approaches, and timing parameters, including time to maximum (Tmax), Delay, time to peak (TTP), and mean transit time (MTT). Differences in residue function estimation and threshold definition may generate variable outputs across software platforms, even from the same source dataset. Perfusion thresholds should therefore not be treated as universally interchangeable. CTP findings should be integrated with clinical status, non-contrast CT, CT angiography (CTA), collateral status, occlusion site, and imaging-to-treatment context, serving as decision-support tools rather than isolated measures of tissue viability.
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(This article belongs to the Special Issue Clinical Advances and Applications in Neuroradiology: 2nd Edition)
Open AccessReview
Novel Diagnostic Algorithm for Azoospermia: The Role of 17-Hydroxyprogesterone and Round Spermatids in Normogonadotropic Azoospermia
by
Sandro La Vignera and Rosita A. Condorelli
Diagnostics 2026, 16(12), 1830; https://doi.org/10.3390/diagnostics16121830 (registering DOI) - 12 Jun 2026
Abstract
Normogonadotropic azoospermia (NOAN) represents a diagnostic and therapeutic challenge in male infertility, affecting men with normal gonadotropin levels but absent sperm in the ejaculate. Emerging evidence has identified 17-hydroxyprogesterone (17OHP) as a potential biomarker for detecting reduced intratesticular testosterone (ITT) levels, and the
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Normogonadotropic azoospermia (NOAN) represents a diagnostic and therapeutic challenge in male infertility, affecting men with normal gonadotropin levels but absent sperm in the ejaculate. Emerging evidence has identified 17-hydroxyprogesterone (17OHP) as a potential biomarker for detecting reduced intratesticular testosterone (ITT) levels, and the presence of round spermatids in ejaculate as an indicator of residual spermatogenic activity. This report synthesizes current evidence on a proposed hypothesis-generating diagnostic framework that utilizes these markers to guide hormonal treatment strategies. Specifically, patients with elevated 17OHP levels (>1.18 ng/mL) and detectable round spermatids may benefit from combined human chorionic gonadotropin (hCG) and follicle-stimulating hormone (FSH) therapy at doses lower than those used for hypogonadotropic hypogonadism. However, this cutoff has not been prospectively validated in NOAN-specific cohorts, and the evidence supporting this approach remains preliminary, derived from small heterogeneous cohorts. Alternative therapeutic strategies, including FSH monotherapy and non-hormonal pharmacological treatments, are also discussed. This framework requires rigorous prospective validation before clinical implementation.
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(This article belongs to the Special Issue Advances in Diagnostic Methods for Laboratory Medicine)
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A Nondiagnostic 99mTc-PYP Scan with Absent Skeletal Uptake
by
Hiroyuki Tokue, Azusa Tokue and Yoshito Tsushima
Diagnostics 2026, 16(12), 1829; https://doi.org/10.3390/diagnostics16121829 (registering DOI) - 12 Jun 2026
Abstract
99mTc-pyrophosphate (PYP) scintigraphy is widely used for the noninvasive evaluation of transthyretin cardiac amyloidosis. Although interpretation primarily focuses on myocardial uptake, confirmation of appropriate systemic radiotracer biodistribution is essential. We report a case in which an examination presumed to be 99mTc-PYP scintigraphy demonstrated
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99mTc-pyrophosphate (PYP) scintigraphy is widely used for the noninvasive evaluation of transthyretin cardiac amyloidosis. Although interpretation primarily focuses on myocardial uptake, confirmation of appropriate systemic radiotracer biodistribution is essential. We report a case in which an examination presumed to be 99mTc-PYP scintigraphy demonstrated free 99mTc-pertechnetate-like biodistribution. A 75-year-old woman with chronic kidney disease and conduction disturbance underwent 99mTc-PYP scintigraphy for suspected cardiac amyloidosis. The initial study, recorded as the administration of 740 MBq 99mTc-PYP, was imaged 3 h after injection. Planar imaging showed mild apparent activity over the cardiac region; however, SPECT/CT demonstrated no definite myocardial uptake. Instead, intense uptake was observed in the stomach and thyroid gland, with complete absence of skeletal activity. This distribution was inconsistent with correctly administered 99mTc-PYP and suggested free 99mTc-pertechnetate biodistribution, likely due to radiopharmaceutical preparation or administration error. A repeat 99mTc-PYP scan 1.5 months later showed expected skeletal uptake without gastric or thyroid activity and again demonstrated no myocardial uptake. The study was interpreted as negative for cardiac amyloidosis. Gastric and thyroid uptake with absent skeletal activity on presumed 99mTc-PYP scintigraphy should be considered nondiagnostic rather than negative.
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(This article belongs to the Section Medical Imaging and Theranostics)
Open AccessArticle
Defining When Nusinersen Starts to Work: Time to Clinical Benefit in Patients with SMA Types 1–3 from a Real-World Cohort in China
by
Ying Wu, Shuang Li, Yanbin Fan, Yuan Wu, Jie Zhang, Hui Dong, Yao Zhang, Xiaoling Yang, Hui Xiong and Cuijie Wei
Diagnostics 2026, 16(12), 1828; https://doi.org/10.3390/diagnostics16121828 (registering DOI) - 12 Jun 2026
Abstract
Background: 5q spinal muscular atrophy (SMA) is a hereditary neuromuscular disorder characterized by progressive muscle weakness. Nusinersen, the first disease-modifying therapy for SMA, has demonstrated efficacy in both clinical trials and real-world studies. However, the precise timing of therapeutic onset following Nusinersen
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Background: 5q spinal muscular atrophy (SMA) is a hereditary neuromuscular disorder characterized by progressive muscle weakness. Nusinersen, the first disease-modifying therapy for SMA, has demonstrated efficacy in both clinical trials and real-world studies. However, the precise timing of therapeutic onset following Nusinersen administration remains unclear. Methods: This retrospective study analyzed clinical data from patients with genetically confirmed 5q SMA who received Nusinersen treatment for at least six months at Peking University First Hospital. Motor function was assessed using standardized scales prior to each dose. Results: In total, 74 patients were screened, of whom 62 were enrolled, including 14 with type 1, 29 with type 2, and 19 with type 3 SMA. Thirty-two patients completed motor function assessments. After six months of treatment, 62.5% achieved a primary clinically meaningful response (an increase of ≥4 points in CHOP-INTEND or ≥3 points in HFMSE). Seven patients (21.9%) attained or regained motor milestones. Median improvements were 6 points in CHOP-INTEND (p = 0.001), 4 points in HFMSE (p = 0.003), and 1.5 points in RULM (p = 0.045). Further analysis indicated that the available median time to treatment response was approximately 2 months. In patients with severe scoliosis or prior spinal surgery, ultrasound-guided lumbar puncture demonstrated a high success rate (94.9%). Regarding safety, intrathecal injection-related adverse events occurred in eight patients (12.9%), and no adverse events led to treatment discontinuation. Conclusions: During the loading phase, Nusinersen provides clinical benefit for the majority of patients, with a median time to therapeutic response for monitoring of approximately 2 months. Ultrasound-guided intrathecal administration is the preferred approach for individuals with complicated spinal conditions. These findings may help guide clinical expectations for physicians, patients, and caregivers.
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(This article belongs to the Special Issue Pediatric Neurological Disorders: Diagnostic and Management Innovations)
Open AccessReview
Artificial Intelligence in Infectious Disease Care: Selected Applications in Tuberculosis, Sepsis, and Antimicrobial Stewardship
by
Olga Adriana Caliman-Sturdza, Roxana Elena Gheorghita, Roxana Filip and Andrei Lobiuc
Diagnostics 2026, 16(12), 1827; https://doi.org/10.3390/diagnostics16121827 (registering DOI) - 12 Jun 2026
Abstract
Background/Objectives: Artificial intelligence (AI) is increasingly being applied across the infectious-disease pathway, from syndromic surveillance and imaging triage to etiologic support, antimicrobial stewardship, and prognostication. However, the maturity of evidence differs considerably across use cases, and apparent technical performance does not always
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Background/Objectives: Artificial intelligence (AI) is increasingly being applied across the infectious-disease pathway, from syndromic surveillance and imaging triage to etiologic support, antimicrobial stewardship, and prognostication. However, the maturity of evidence differs considerably across use cases, and apparent technical performance does not always translate into real-world clinical utility. Methods: This structured narrative review synthesizes current evidence on the principal clinical and public-health applications of AI in infectious diseases, with particular attention to external validation, workflow integration, economic implications, and governance. Results: The strongest near-term evidence supports narrow-AI applications linked to constrained workflows, especially tuberculosis chest-radiograph triage, selected host-response and antimicrobial-resistance prediction tools, and clinician-facing stewardship aids. By contrast, sepsis prediction illustrates how internal model performance may deteriorate on external validation and generate substantial alert burden when implemented in routine care. Economic evaluations are promising but remain predominantly model-based and context-dependent. Evidence for generative AI and large language models is still in an early phase, consisting largely of vignette studies, retrospective comparisons, and small single-center pilots rather than prospective outcome-based evaluations. Conclusions: Overall, the most realistic clinical role of AI in infectious diseases is augmentation rather than replacement: prioritizing scarce diagnostic capacity, shortening time to action, and improving antibiotic selection. Safe translation into practice requires, in order, external validation with local calibration, prospective impact assessment, and governance frameworks that address drift, accountability, transparency, and human oversight.
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(This article belongs to the Special Issue New Diagnostic and Testing Strategies for Infectious Diseases)
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Open AccessSystematic Review
Prevalence of Carotid Atherosclerosis in Adult Populations in Europe and North America (USA, Canada): A Systematic Review of Population-Based Studies (2015–2025)
by
Maciej Chlabicz, Michał Chlabicz, Wojciech Łaguna, Piotr Myrcha and Jerzy Głowiński
Diagnostics 2026, 16(12), 1826; https://doi.org/10.3390/diagnostics16121826 (registering DOI) - 12 Jun 2026
Abstract
Backgrounds: Carotid atherosclerotic plaques (CAPs) are a reliable marker of systemic atherosclerosis and a predictor of cardiovascular events. Despite advances in prevention, the prevalence of CAPs in high-income regions remains uncertain due to heterogeneity in imaging definitions, study designs, and populations. We strived
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Backgrounds: Carotid atherosclerotic plaques (CAPs) are a reliable marker of systemic atherosclerosis and a predictor of cardiovascular events. Despite advances in prevention, the prevalence of CAPs in high-income regions remains uncertain due to heterogeneity in imaging definitions, study designs, and populations. We strived to provide an updated meta-analysis of population-based studies conducted in Europe and North America between 2015 and 2025, estimating the prevalence of CAPs in general populations. Methods: Following the PRISMA 2020 guidelines, PubMed and Web of Science were searched for original studies. Eligible studies reported CAPs prevalence in adult general populations using ultrasonography, computed tomography angiography, and magnetic resonance imaging. Pooled prevalence was calculated using a random-effects meta-analysis of proportions, and heterogeneity was assessed using I2 and τ2 statistics. Subgroup and meta-regression analyses explored associations with age and comorbidities. Results: A total of 80 studies comprising 177,196 participants were included. The pooled prevalence of CAPs was 39.8% (95% CI 32.6–47.5%) under a random-effects model with substantial heterogeneity (I2 = 99.6%). The prevalence of CAPs increased with age, exceeding 59% among individuals aged over 70 years. High-risk populations, particularly those with T2DM, exhibited a prevalence exceeding 50%. Conclusions: CAPs are present in approximately 40% of adults in Europe and North America, with prevalence strongly driven by age and comorbidities. Despite therapeutic advances, the prevalence of CAPs has not declined, reflecting the growing impact of population aging and comorbidities. Standardized imaging definitions, longitudinal outcome linkage, and pragmatic prevention strategies are needed to translate CAPs detection into reduced cardiovascular events.
Full article
(This article belongs to the Section Clinical Diagnosis and Prognosis)
Open AccessArticle
Real-World Insights in Designing SteatoStat: An End-to-End Deep Learning Pipeline for Hepatic Steatosis Quantification
by
Nagalakshmi Jegannathan, Xiaoman Zhang, Jia Xuan Seow, Menghan Zhou, Long Wang, Guo Lin Goh, Seow Ye Heng, Tony De Rong Ng, Rick Siow Mong Goh, Huazhu Fu, Yong Liu, Lionel Tim-Ee Cheng, George Boon Bee Goh, Dean Tai, Chee Leong Cheng, Wei Keat Wan, Tony Kiat Hon Lim, Li Yan Khor and Wei Qiang Leow
Diagnostics 2026, 16(12), 1825; https://doi.org/10.3390/diagnostics16121825 (registering DOI) - 12 Jun 2026
Abstract
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a significant and escalating global health concern, with an estimated prevalence of 30%. Current assessments of hepatic steatosis, a hallmark of MASLD, rely on semi-quantitative grading by pathologists, which is inherently limited by inter-observer
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Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a significant and escalating global health concern, with an estimated prevalence of 30%. Current assessments of hepatic steatosis, a hallmark of MASLD, rely on semi-quantitative grading by pathologists, which is inherently limited by inter-observer variability. Objective: To address this limitation, we developed a novel deep learning pipeline, named SteatoStat, to standardize and enhance the quantification of hepatic steatosis in patients with MASLD. Method: The SteatoStat pipeline employs and integrates multiple components such as file format standardization, rule-based cell filtering, and multiple segmentation models across various liver structures, resulting in an output of a continuous quantitative measure of steatosis percentage and translated into steatosis grades. Results: We report a high degree of accuracy and reliability with SteatoStat achieving the following performance metrics (DICE score = 0.8955, AUROC = 0.9928, F1 score = 0.8990). When benchmarked against expert pathologists, the weighted Kappa coefficient is 0.837. Furthermore, in comparison with an existing, well-established model, SteatoStat demonstrated a weighted Kappa coefficient = 0.765. Conclusions: These robust findings underscore its potential clinical utility in providing a standardized objective quantification of hepatic steatosis. Future directions include enhancing the model’s generalizability and its clinical integration through validation on independent, multi-institutional datasets.
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(This article belongs to the Special Issue Artificial Intelligence for Health and Medicine—2nd Edition)
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