A nomogram based on clinical factors and gadobenate dimeglumine‑enhanced MRI for prediction of GPC‑3 expression in hepatocellular carcinoma

Motivation: The expression level of Glypican-3 (GPC-3) is closely associated with the malignancy and prognosis of HCC. Goal(s): To investigate the predictive value of a nomogram based on clinical factors and gadobenate dimeglumine-enhanced MRI for predicting the expression of GPC-3 in HCC. Approach: The preoperative clinical data,gadobenate dimeglumine-enhanced MRI features and pathological GPC-3 expression of 185 HCC patients were retrospectively collected.Nomogram model for predicting GPC-3 expression in patients was established. Results: Significant differences in AFP,intratumoral hemorrhage,and TLR-HBP were found between GPC-3 positive and negative HCC groups.The nomogram model integrating clinical and MRI parameters demonstrated superior predictive performance for GPC-3 expression compared to individual indicators. Impact: Early noninvasive prediction of GPC-3 expression provides guidance for prognosis assessment and tumor treatment. A nomogram based on clinical and gadobenate dimeglumine-enhanced MRI can effectively predict GPC-3 expression in HCC,helping clinicians evaluate prognosis and select appropriate treatments for HCC patients.

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/10.58530/2025/3870
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

A nomogram based on clinical factors and gadobenate dimeglumine‑enhanced MRI for prediction of GPC‑3 expression in hepatocellular carcinoma

Di Wu, Li jiayi, Ma hui, Yueming 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
Radiomics and Machine Learning in Medical Imaging
article

A nomogram based on clinical factors and gadobenate dimeglumine‑enhanced MRI for prediction of GPC‑3 expression in hepatocellular carcinoma

Di Wu, Li jiayi, Ma hui, Yueming Li, Yuchen Xie
article en

Abstract

Motivation: The expression level of Glypican-3 (GPC-3) is closely associated with the malignancy and prognosis of HCC. Goal(s): To investigate the predictive value of a nomogram based on clinical factors and gadobenate dimeglumine-enhanced MRI for predicting the expression of GPC-3 in HCC. Approach: The preoperative clinical data,gadobenate dimeglumine-enhanced MRI features and pathological GPC-3 expression of 185 HCC patients were retrospectively collected.Nomogram model for predicting GPC-3 expression in patients was established. Results: Significant differences in AFP,intratumoral hemorrhage,and TLR-HBP were found between GPC-3 positive and negative HCC groups.The nomogram model integrating clinical and MRI parameters demonstrated superior predictive performance for GPC-3 expression compared to individual indicators. Impact: Early noninvasive prediction of GPC-3 expression provides guidance for prognosis assessment and tumor treatment. A nomogram based on clinical and gadobenate dimeglumine-enhanced MRI can effectively predict GPC-3 expression in HCC,helping clinicians evaluate prognosis and select appropriate treatments for HCC patients.

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 63%
Radiomics and Machine Learning in Medical Imaging
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