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Dataset Information

The feasibility of the radiomics models for tumor-infiltrating lymphocytes level prediction in breast cancer based on dynamic contrast-enhanced MRI.


ABSTRACT:

Background

Determining tumor-infiltrating lymphocyte (TIL) expression in breast cancer prior to treatment initiation is of considerable clinical significance. MRI demonstrates potential as a valuable adjunct to histopathological assessment. This study investigated the feasibility of developing a radiomics-based predictive model incorporating MRI and clinical features to determine TIL levels in breast cancer.

Methods

This multicenter retrospective cohort study enrolled 501 patients across two institutions. A total of 453 patients were utilized for model development, comprising a training cohort (n = 317) and internal validation cohort (n = 136), while 48 patients from an external center constituted the independent test cohort. Radiomics features were extracted and subsequentl

SUBMITTER: Peng Y 

PROVIDER: S-EPMC12538806 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature