The value of using deep learning to predict proliferative hepatocellular carcinoma based on multiphasic magnetic resonance imaging.

ABSTRACT:

Background

Proliferative hepatocellular carcinoma (PHCC) is an aggressive subtype of hepatocellular carcinoma (HCC) characterized by high recurrence rates and poor prognosis. Accurate preoperative identification of PHCC is essential for prognostic assessment and individualized treatment planning. However, conventional imaging methods often fail to reliably diagnose PHCC. This study aimed to develop an effective deep learning (DL)-based model using multiphasic gadoxetate disodium (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) to preoperatively predict PHCC.

Methods

This retrospective multicenter study included 1,111 HCC patients who underwent Gd-EOB-DTPA-enhanced MRI followed by curative resection between January 2015 and June 2021. Patients were allocated to trainin

SUBMITTER: Chen F 

PROVIDER: S-EPMC12514658 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature