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Article

Prediction model based on 18F-FDG PET/CT radiomic features and clinical factors of EGFR mutations in lung adenocarcinoma.

Neoplasma - 1 Jan 2022

Zhao Hong-Yue, Su Ye-Xin, Zhang Lin-Han, Fu Peng

Abstract excerpt

The aim of this study was to build a prediction model for epidermal growth factor receptor (EGFR) mutations in lung adenocarcinoma. A retrospective analysis was performed on 88 patients with lung adenocarcinoma. All patients underwent an 18F-FDG PET/CT scan and genetic testing of EGFR before the treatment. In the training set, the radiomic features and clinical factors were screened out, and model-1 based on CT...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34779641
DOI: 10.4149/neo_2021_201222N1388

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