Different MRI-based radiomics machine learning models to predict CD3+ tumor-infiltrating lymphocytes in rectal cancer

Different MRI-based radiomics machine learning models to predict CD3+ tumor-infiltrating lymphocytes in rectal cancer

ObjectivesThis study aimed to develop and evaluate multiple machine learning models utilizing contrast-enhanced T1-weighted imaging (T1-CE) to differentiate between low-/high-infiltration of total T lymphocytes (CD3) in patients with rectal cancer.MethodsWe retrospectively selected 157 patients (103...

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Bibliographic Details
Main Authors: Weili Ma, Chuanling Hou, Minxia Yang, Yuguo Wei, Jiwei Mao, Le Guan, Zhenhua Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Oncology
Subjects:
CD3
tumor-infiltrating lymphocytes
radiomics
rectal cancer
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1509207/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1509207/full

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