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A clinically practical radiomics-clinical combined model based on PET/CT data and nomogram predicts EGFR mutation in lung adenocarcinoma.

European radiology - 1 Aug 2021

Chang Cheng, Zhou Shihong, Yu Hong, Zhao Wenlu, Ge Yaqiong, Duan Shaofeng, Wang Rui, Qian Xiaohua, Lei Bei, Wang Lihua, Liu Liu, Ruan Maomei, Yan Hui, Sun Xiaoyan, Xie Wenhui

Abstract excerpt

OBJECTIVES: This study aims to develop a clinically practical model to predict EGFR mutation in lung adenocarcinoma patients according to radiomics signatures based on PET/CT and clinical risk factors. METHODS: This retrospective study included 583 lung adenocarcinoma patients, including 295 (50.60%) patients with EGFR mutation and 288 (49.40%) patients without EGFR mutation. The clinical risk factors associated...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 33544167
DOI: 10.1007/s00330-020-07676-x

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