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Article

EfficientNet-Based System for Detecting EGFR-Mutant Status and Predicting Prognosis of Tyrosine Kinase Inhibitors in Patients with NSCLC.

Journal of imaging informatics in medicine - 1 Jun 2024

Xu Nan, Wang Jiajun, Dai Gang, Lu Tao, Li Shu, Deng Kexue, Song Jiangdian

Abstract excerpt

We aimed to develop and validate a deep learning-based system using pre-therapy computed tomography (CT) images to detect epidermal growth factor receptor (EGFR)-mutant status in patients with non-small cell lung cancer (NSCLC) and predict the prognosis of advanced-stage patients with EGFR mutations treated with EGFR tyrosine kinase inhibitors (TKI). This retrospective, multicenter study included 485 patients...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38361006
DOI: 10.1007/s10278-024-01022-z
PMCID: PMC11169294

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