Impact of Annotation Level on Multisequence MRI Models for Preoperative Microvascular Invasion Prediction in Hepatocellular Carcinoma

Radiology Imaging Cancer 2026 Open access

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Authors: Yifan Pan, Rongping Ye, Jiayi Li, Yamei Liu, Zhaodi Huang, Qiuyuan Yue, Lanmei Gao, Chuan Yan, Yueming Li
DOI: 10.1148/rycan.250407
Cited by: 1
References: 41

Abstract

Bounding box annotation provides a time-efficient, clinically viable alternative to voxel-level masks for preoperative microvascular invasion prediction in hepatocellular carcinoma, offering statistically comparable performance while improving annotation efficiency.

Fields of Study & Subjects

Hepatocellular Carcinoma Treatment and Prognosis MRI in cancer diagnosis Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source
Radiology Imaging Cancer
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
2
Pages
e250407–e250407
Publication date
20 February 2026
Language
EN