Evaluating the Added Value of MRI in Detecting Significant Hepatic Histological Changes in Chronic HBV Patients with Normal ALT Levels

Motivation: Chronic hepatitis B (CHB) patients with normal ALT may exhibit significant liver histological changes (SLHC), meeting the histological criteria for initiating antiviral treatment. Goal(s): To develop a non-invasive combined model assessing the additional value of MRI in detecting SLHC in CHB patients with normal ALT. Approach: Radiomic features were extracted from the entire liver to develop the MR model. Independent risk factors among clinical variables were integrated with the MR model to create the AAPFR model. The NEWMODEL incorporated AAPFR with FibroScan. Results: The AAPFR demonstrated satisfactory performance, outperforming the APRI. The NEWMODEL exhibited improved diagnostic efficacy and added value to the FibroScan. Impact: The NEWMODEL exhibited improved diagnostic efficacy and added value to APRI and FibroScan. This non-invasive model showed great value of MRI in detecting SLHC, providing a more precise method to make antiviral therapy decision for CHB patients with normal ALT.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2837
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Added Value of MRI in Detecting Significant Hepatic Histological Changes in Chronic HBV Patients with Normal ALT Levels

Junhao Zha, Shenghong Ju, Jiarui Zhong, Song Yang
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Liver Disease Diagnosis and Treatment
article

Evaluating the Added Value of MRI in Detecting Significant Hepatic Histological Changes in Chronic HBV Patients with Normal ALT Levels

Junhao Zha, Shenghong Ju, Jiarui Zhong, Song Yang
article en

Abstract

Motivation: Chronic hepatitis B (CHB) patients with normal ALT may exhibit significant liver histological changes (SLHC), meeting the histological criteria for initiating antiviral treatment. Goal(s): To develop a non-invasive combined model assessing the additional value of MRI in detecting SLHC in CHB patients with normal ALT. Approach: Radiomic features were extracted from the entire liver to develop the MR model. Independent risk factors among clinical variables were integrated with the MR model to create the AAPFR model. The NEWMODEL incorporated AAPFR with FibroScan. Results: The AAPFR demonstrated satisfactory performance, outperforming the APRI. The NEWMODEL exhibited improved diagnostic efficacy and added value to the FibroScan. Impact: The NEWMODEL exhibited improved diagnostic efficacy and added value to APRI and FibroScan. This non-invasive model showed great value of MRI in detecting SLHC, providing a more precise method to make antiviral therapy decision for CHB patients with normal ALT.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.