The prognostic value of CT radiomic features for patients with pulmonary adenocarcinoma treated with EGFR tyrosine kinase inhibitors

Hyungjin Kim, Chang Min Park, Bhumsuk Keam, Sang Joon Park, Miso Kim, Tae Min Kim, Dong-Wan Kim, Dae Seog Heo and Jin Mo Goo

PLOS ONE, 2017, vol. 12, issue 11, 1-13

Abstract: Purpose: To determine if the radiomic features on CT can predict progression-free survival (PFS) in epidermal growth factor receptor (EGFR) mutant adenocarcinoma patients treated with first-line EGFR tyrosine kinase inhibitors (TKIs) and to identify the incremental value of radiomic features over conventional clinical factors in PFS prediction. Methods: In this institutional review board–approved retrospective study, pretreatment contrast-enhanced CT and first follow-up CT after initiation of TKIs were analyzed in 48 patients (M:F = 23:25; median age: 61 years). Radiomic features at baseline, at 1st first follow-up, and the percentage change between the two were determined. A Cox regression model was used to predict PFS with nonredundant radiomic features and clinical factors, respectively. The incremental value of radiomic features over the clinical factors in PFS prediction was also assessed by way of a concordance index. Results: Roundness (HR: 3.91; 95% CI: 1.72, 8.90; P = 0.001) and grey-level nonuniformity (HR: 3.60; 95% CI: 1.80, 7.18; P

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0187500

DOI: 10.1371/journal.pone.0187500

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