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Comparison of the radiomics-based predictive models using machine learning and nomogram for epidermal growth factor receptor mutation status and subtypes in lung adenocarcinoma

2022-02-07

Abstract excerpt

<title>Abstract</title> <p><bold>Introduction</bold>: The purpose of this study is to develop the predictive models for epidermal growth factor receptor (EGFR) mutation status and subtypes [exon 21-point mutation (L858R) and exon 19 deletion mutation (19Del)] and validate the clinical effectiveness.<bold>Methods</bold>: Total 172 patients with lung adenocarcinoma were enrolled. The analysis of variance and the le...

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Literature Corpus work
288cd913-af5e-5756-8d75-7bd37b2265f0
DOI
10.21203/rs.3.rs-1176316/v1
Open publication

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