Article

PET/CT radiomics and machine learning enable non-invasive survival stratification and histologic tumor risk profiling in patients with lung adenocarcinoma

2021-08-05

Abstract excerpt

<title>Abstract</title> <p>Purpose Risk stratification in patients with lung adenocarcinoma (LUAD) is mandatory for treatment guiding and outcome prediction. Amongst clinical parameters including histological analyses, imaging procedures provide important information. The present study aimed to investigate the ability of machine learning models trained on clinical and 2-deoxy-2-[¹⁸F]fluoro-D-glucose ([<sup>18</s...

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Literature Corpus work: 6881e3f9-a1c9-5e93-9d59-50ae77a9a979
DOI: 10.21203/rs.3.rs-771161/v1

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