Comparative Analysis of Contrast Agents for HCC Diagnosis Using LI-RADS 2018v

Motivation: Enhance precision in hepatocellular carcinoma (HCC) diagnosis by determining the superior contrast agent. Goal(s): Compare Gd-EOB-DTPA and Gd-BOPTA efficiency in displaying LI-RADS-recommended HCC features. Approach: Retrospective analysis of 98 HCC lesions using Gd-EOB-DTPA-MR and Gd-BOPTA-MR, assessing enhancement patterns and lesion-to-liver contrast. Results: Significantly varied capsule enhancement and lesion-to-liver contrast were observed in specific phases. Both agents demonstrated effective display capabilities (AUC>0.750) and excellent overall performance (AUC>0.950) across all phases. Impact: These findings offer crucial insights for clinicians and researchers, facilitating informed selection of contrast agents for accurate HCC diagnosis. Future investigations may focus on refining imaging protocols, ultimately improving patient care and management decisions.

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/10.58530/2024/4136
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Analysis of Contrast Agents for HCC Diagnosis Using LI-RADS 2018v

Weiwei Yao, Kan Deng, Fan Lin, Hanwen Zhang 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
Radiomics and Machine Learning in Medical Imaging
article

Comparative Analysis of Contrast Agents for HCC Diagnosis Using LI-RADS 2018v

Weiwei Yao, Kan Deng, Fan Lin, Hanwen Zhang, Yufeng Liu
article en

Abstract

Motivation: Enhance precision in hepatocellular carcinoma (HCC) diagnosis by determining the superior contrast agent. Goal(s): Compare Gd-EOB-DTPA and Gd-BOPTA efficiency in displaying LI-RADS-recommended HCC features. Approach: Retrospective analysis of 98 HCC lesions using Gd-EOB-DTPA-MR and Gd-BOPTA-MR, assessing enhancement patterns and lesion-to-liver contrast. Results: Significantly varied capsule enhancement and lesion-to-liver contrast were observed in specific phases. Both agents demonstrated effective display capabilities (AUC>0.750) and excellent overall performance (AUC>0.950) across all phases. Impact: These findings offer crucial insights for clinicians and researchers, facilitating informed selection of contrast agents for accurate HCC diagnosis. Future investigations may focus on refining imaging protocols, ultimately improving patient care and management decisions.

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 64%
Radiomics and Machine Learning in Medical Imaging
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.

Comparative Analysis of Contrast Agents for HCC Diagnosis Using LI-RADS 2018v — Weiwei Yao, Kan Deng, 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