MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer

Abstract Objective Lymphovascular invasion (LVI) is critical for the effective treatment and prognosis of breast cancer (BC). This study aimed to investigate the value of eight machine learning models based on MRI radiomic features for the preoperative prediction of LVI status in BC. Methods A total...

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Bibliographic Details
Main Authors: Cici Zhang, Minzhi Zhong, Zhiping Liang, Jing Zhou, Kejian Wang, Jun Bu
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Medical Imaging
Subjects:
Online Access:https://doi.org/10.1186/s12880-024-01501-3
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