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Towards a Survival Risk Prediction Model for Metastatic NSCLC Patients on Durvalumab Using Whole-Lung CT Radiomics

2024-02-06

Abstract excerpt

<h4>Background</h4> Existing criteria for predicting patient survival from immunotherapy are primarily centered on the PD-L1 status of patients. We tested the hypothesis that noninvasively captured baseline whole-lung radiomics features from CT images, baseline clinical parameters, combined with advanced machine learning approaches, can help to build models of patient survival that compare favorably with PD-L1 st...

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Literature Corpus work
771a441b-2a51-5b1e-a7a3-9567831f0859
DOI
10.1101/2024.02.01.578458
Open publication

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Towards a Survival Risk Prediction Model for Metastatic NSCLC Patients on Durvalumab Using Whole-Lung CT RadiomicsDOI 10.1101/2024.02.01.578458
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