Incorporating radiomic feature of pretreatment 18F-FDG PET improves survival stratification in patients with EGFR-mutated lung adenocarcinoma

Yu-Hung Chen, Tso-Fu Wang, Sung-Chao Chu, Chih-Bin Lin, Ling-Yi Wang, Kun-Han Lue, Shu-Hsin Liu and Sheng-Chieh Chan

PLOS ONE, 2020, vol. 15, issue 12, 1-18

Abstract: Background: To investigate the survival prognostic value of the radiomic features of 18F-FDG PET in patients who had EGFR (epidermal growth factor receptor) mutated lung adenocarcinoma and received targeted TKI (tyrosine kinase inhibitor) treatment. Methods: Fifty-one patients with stage III-IV lung adenocarcinoma and actionable EGFR mutation who received first-line TKI were retrospectively analyzed. All patients underwent pretreatment 18F-FDG PET/CT, and we calculated the PET-derived radiomic features. Cox proportional hazard model was used to examine the association between the radiomic features and the survival outcomes, including progression-free survival (PFS) and overall survival (OS). A score model was established according to the independent prognostic predictors and we compared this model to the TNM staging system using Harrell's concordance index (c-index). Results: Forty-eight patients (94.1%) experienced disease progression and 41 patients (80.4%) died. Primary tumor SUV entropy > 5.36, and presence of pleural effusion were independently associated with worse OS (both p

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0244502

DOI: 10.1371/journal.pone.0244502

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