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
- Di Wu (ORCID: https://orcid.org/0009-0007-6659-8251)
- Li jiayi
- Ma hui
- Yueming Li (ORCID: https://orcid.org/0000-0002-3669-568X)
- Yuchen Xie (ORCID: https://orcid.org/0009-0008-0891-9288)
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
- Field-Weighted Citation Impact
- 0.00