Prediction of microvascular invasion in hepatocellular carcinoma based on preoperative Gd-EOB-DTPA-enhanced MRI: Comparison of predictive performance among 2D, 2D-expansion and 3D deep learning models

PURPOSE: To evaluate and compare the predictive performance of different deep learning models using gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in predicting microvascular invasion (MVI) in hepatocellular carcinoma. METHODS: The data of 233 patients with pa...

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Detalles Bibliográficos
Autores principales: Wang, Tao, Li, Zhen, Yu, Haiyang, Duan, Chongfeng, Feng, Weihua, Chang, Lufan, Yu, Jing, Liu, Fang, Gao, Juan, Zang, Yichen, Luo, Ziwei, Liu, Hao, Zhang, Yu, Zhou, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936232/
https://www.ncbi.nlm.nih.gov/pubmed/36816963
http://dx.doi.org/10.3389/fonc.2023.987781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936232/
https://www.ncbi.nlm.nih.gov/pubmed/36816963
http://dx.doi.org/10.3389/fonc.2023.987781

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