Predicting post-hepatectomy liver failure with whole-liver histogram analysis on T1 maps of gadoxetic acid-enhanced MRI

Motivation: Current clinical modalities still have several limitations for accurately predicting post-hepatectomy liver failure (PHLF). Goal(s): To explore more effective non-invasive tools to quantitatively predict PHLF. Approach: The performances of the hematological tests, the indocyanine green (ICG) clearance test and the newly-based albumin-bilirubin (ALBI) scoring system for predicting PHLF were compared with that of whole-liver histogram analysis on gadoxetic acid-enhanced T1 maps. Results: Whole-liver histogram analysis on gadoxetic acid-enhanced T1 maps had a better performance than the ICG clearance test and ALBI scoring system. It also showed potential for stratifying preoperative liver function. Impact: The histogram parameters extracted from whole-liver regions of interest (ROI) on gadoxetic acid-enhanced T1 maps were proved to be effective and non-invasive tools for assessing liver function. Further accurate liver function assessment based on sectional histogram analysis is promising.

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
2024-11-26
DOI
https://doi.org/10.58530/2024/4552
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

Predicting post-hepatectomy liver failure with whole-liver histogram analysis on T1 maps of gadoxetic acid-enhanced MRI

Robert Grimm, Jun Li, Xiaoying Wang, Yi Li et al.
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

Predicting post-hepatectomy liver failure with whole-liver histogram analysis on T1 maps of gadoxetic acid-enhanced MRI

Robert Grimm, Jun Li, Xiaoying Wang, Yi Li, Yuanyuan Chen, Mengsu Zeng, Ying Ding, Caixia Fu
article en

Abstract

Motivation: Current clinical modalities still have several limitations for accurately predicting post-hepatectomy liver failure (PHLF). Goal(s): To explore more effective non-invasive tools to quantitatively predict PHLF. Approach: The performances of the hematological tests, the indocyanine green (ICG) clearance test and the newly-based albumin-bilirubin (ALBI) scoring system for predicting PHLF were compared with that of whole-liver histogram analysis on gadoxetic acid-enhanced T1 maps. Results: Whole-liver histogram analysis on gadoxetic acid-enhanced T1 maps had a better performance than the ICG clearance test and ALBI scoring system. It also showed potential for stratifying preoperative liver function. Impact: The histogram parameters extracted from whole-liver regions of interest (ROI) on gadoxetic acid-enhanced T1 maps were proved to be effective and non-invasive tools for assessing liver function. Further accurate liver function assessment based on sectional histogram analysis is promising.

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 68%
Liver Disease Diagnosis and Treatment
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Predicting post-hepatectomy liver failure with whole-liver histogram analysis on T1 maps of gadoxetic acid-enhanced MRI — Robert Grimm, Jun Li, et al. · 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 (2024) | TGRS Research Map | TGRS