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Different MRI-based radiomics machine learning models to predict CD3+ Tumor-infiltrating Lymphocytes (TILs) in rectal cancer

2024-07-19

Abstract excerpt

<title>Abstract</title> <p>Objectives We aim to develop various machine learning models using contrast-enhanced T1-weighted imaging (T1-CE) to differentiate between low-/high-infiltration of total T lymphocytes (CD3) in rectal cancer. Methods We retrospectively selected 157 patients (103 men, 54 women) with pathologically confirmed rectal cancer diagnosed between March 2015 and October 2019. The patients were r...

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Literature Corpus work
cad4074f-c849-5f85-94b3-e615208da40b
DOI
10.21203/rs.3.rs-4622526/v1
Open publication

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Different MRI-based radiomics machine learning models to predict CD3+ Tumor-infiltrating Lymphocytes (TILs) in rectal cancerDOI 10.21203/rs.3.rs-4622526/v1
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