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Habitat radiomics and deep learning fusion nomogram to predict EGFR mutation status in stage I non-small cell lung cancer: a multicenter study.

Scientific reports - 10 Jul 2024

Wu Jingran, Meng Hao, Zhou Lin, Wang Meiling, Jin Shanxiu, Ji Hongjuan, Liu Bona, Jin Peng, Du Cheng

Abstract excerpt

Develop a radiomics nomogram that integrates deep learning, radiomics, and clinical variables to predict epidermal growth factor receptor (EGFR) mutation status in patients with stage I non-small cell lung cancer (NSCLC). We retrospectively included 438 patients who underwent curative surgery and completed driver-gene mutation tests for stage I NSCLC from four academic medical centers. Predictive models were...

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Identifiers

PMID: 38982267
DOI: 10.1038/s41598-024-66751-1
PMCID: PMC11233600

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