MRI-Based Radiomics for Preoperative Prediction of Lymphovascular Invasion in Patients With Invasive Breast Cancer

MRI-Based Radiomics for Preoperative Prediction of Lymphovascular Invasion in Patients With Invasive Breast Cancer

ObjectivePreoperative identification of lymphovascular invasion (LVI) in patients with invasive breast cancer is challenging due to absence of reliable biomarkers or tools in clinical settings. We aimed to establish and validate multiparametric magnetic resonance imaging (MRI)-based radiomic models...

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Bibliographic Details
Main Authors: Mayidili Nijiati, Diliaremu Aihaiti, Aisikaerjiang Huojia, Abudukeyoumujiang Abulizi, Sailidan Mutailifu, Nueramina Rouzi, Guozhao Dai, Patiman Maimaiti
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Oncology
Subjects:
breast cancer
lymphovascular invasion
magnetic resonance imaging (MRI)
machine learning
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.876624/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.876624/full

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