Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Background: One of the unmet needs in patients with metabolic risks is the prediction of metabolic liver disease (MLD) by noninvasive tests (NITs).
Objective: The primary aim of this study was to construct a new quantitative test for the diagnosis of nonalcoholic steatohepatitis (NASH) using a simplified histological definition.
Patients And Methods: As a reference, we used a simplified histological definition of NASH derived from the FLIP-CRN-definition that does not require the presence of steatosis and the presence of both lobular inflammation and ballooning. We analyzed 1081 patients from two prospective cohorts at risk of MLD who had biopsies and contemporaneous blood samples. These patients were divided randomly into a training group (n=541) and a control group (n=540) for internal validation. The new test was compared with standard tests, and applied in two large populations at risk of MLD.
Results: Out of 1081 patients with biopsy, 39 (3.6%) cases with significant inflammatory activity or fibrosis (A2orF2) were missed by the current histological definitions. The combination of 11 parameters permitted to construct a test (NIT-NASHs) predicting NASH with an area under the receiver operating characteristic curve (AUROC) of 0.773 (95% confidence interval: 0.730-0.810), confirmed in the control group 0.814 (0.774-0.847). The AUROCs of NIT-NASHs were higher (all P<0.001) than those of ActiTest, FIB4, BARD, and nonalcoholic fatty liver disease scores. A combination of NIT-NASHs with FibroTest (AUROC=0.800; 0.759-0.835) enabled a better prediction (P<0.0001) of significant MLD, A2orF2, than the ActiTest-FibroTest combination.
Conclusion: These results suggested that this new test enables a quantitative assessment of NASH, and when associated with the FibroTest, identifies cases with clinically significant MLD. An external validation is needed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/MEG.0000000000001064 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Despite promising results in using deep learning to infer genetic features from histological whole-slide images (WSIs), no prior studies have specifically applied these methods to lung adenocarcinomas from subjects who have never smoked tobacco (NS-LUAD) - a molecularly and histologically distinct subset of lung cancer. Existing models have focused on LUAD from predominantly smoker populations, with limited molecular scope and variable performance. Here, we propose a customized deep convolutional neural network based on ResNet50 architecture, optimized for multilabel classification for NS-LUAD, enabling simultaneous prediction of 16 molecular alterations from a single H&E-stained WSI.
View Article and Find Full Text PDFEvaluating Simplified IVIM Diffusion Imaging for Breast Cancer Diagnosis and Pathological Correlation.
Diagnostics (Basel)
August 2025
The General Organization for Teaching Hospitals and Institutes, (National Institute of Neurology and Urology), Cairo 11765, Egypt.
This study aimed to evaluate the diagnostic performance of simplified intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) parameters in distinguishing malignant from benign breast lesions, and to explore their association with clinicopathological features. This retrospective study included 108 women who underwent breast MRI with multi-b-value DWI (0, 20, 200, 500, 800 s/mm). Of those 108 women, 73 had pathologically confirmed malignant lesions.
View Article and Find Full Text PDFIntroduction: The evaluation of lymph nodes (LN) through fine needle aspiration (FNA) is widely used as the first-line approach in the assessment of unexplained lymphadenopathy due to its minimal invasiveness, speed, cost-effectiveness, and the availability of provide material for various auxiliary techniques. The Sydney Lymph Node Cytology Reporting and Classification System was introduced in 2020. The aim of our study is to classify LN-FNAs according to the Sydney System and to evaluate the concordance with histological diagnoses and the rates of malignancy in the available cases.
View Article and Find Full Text PDFInflammatory and nutritional indexes as predictors of acute kidney injury in patients with Immunoglobulin A nephropathy: a retrospective study.
PeerJ
August 2025
Department of Nephrology, The First Hospital of Jilin University, Changchun, Jilin, China.
Background: Immunoglobulin A nephropathy (IgAN) patients with acute kidney injury (AKI) have an elevated risk of adverse events and mortality. However, there is currently a lack of convenient and effective clinical tools to predict AKI risk in this population. The present study was conducted to create such tools containing inflammatory and nutritional indexes.
View Article and Find Full Text PDFDiscovery of 8-hydroxy-tetrahydroquinoline ferroptosis inhibitors for the treatment of acute kidney injury.
Bioorg Chem
August 2025
Department of Orthopedic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Tissue Engineering Laboratory, Department of Radiology, Shandong First Medical University, Shandong Key Laboratory of Rheumatic Disease and Translational Me
Acute kidney injury (AKI) is a severe public health challenge, characterized by high incidence and mortality rates, alongside a lack of effective therapeutic interventions. Emerging evidence highlights kidney tubular ferroptosis as a key driver of AKI pathogenesis. While α-tocopherol, a natural lipid antioxidant, exhibits potent anti-ferroptotic activity, its therapeutic potential remains limited by a lack of structural optimization.
View Article and Find Full Text PDF