Clinical utility of texture analysis of 18F-FDG PET/CT in patients with Stage I lung cancer treated with stereotactic body radiotherapy. (21st September 2017)

• Record Type: Journal Article
• Authors: Takeda, Kazuya; Takanami, Kentaro; Shirata, Yuko; Yamamoto, Takaya; Takahashi, Noriyoshi; Ito, Kengo; Takase, Kei; Jingu, Keiichi
• Is Part Of: Journal of radiation research. Volume 58:Number 6(2017:Nov.)
• Page Start: 862
• Page End: 869
• Publication Date: 2017-09-21
• Subjects: lung cancer -- stereotactic body radiotherapy (SBRT) -- 18F-FDG PET/CT -- texture analysis -- radiomics -- prognostic factor; Radiology, Medical -- Periodicals; Radiobiology -- Periodicals; Radiation -- Periodicals; 616.0757
• DOI: 10.1093/jrr/rrx050
• Languages: English
• ISSNs: 0449-3060

Abstract

Abstract: We evaluated the reproducibility and predictive value of texture parameters and existing parameters of 18 F-FDG PET/CT images in Stage I non-small-cell lung cancer (NSCLC) patients treated with stereotactic body radiotherapy (SBRT). Twenty-six patients with Stage I NSCLC (T1-2N0M0) were retrospectively analyzed. All of the patients underwent an 18 F-FDG PET/CT scan before treatment and were treated with SBRT. Each tumor was delineated using PET Edge (MIM Software Inc., Cleveland, OH), and texture parameters were calculated using open-source code CGITA. From 18 F-FDG PET/CT images, three conventional parameters, including maximum standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG), and four texture parameters, including entropy and dissimilarity (derived from a co-occurrence matrix) and high-intensity large-area emphasis (HILAE) and zone percentage (derived from a size-zone matrix) were analyzed. Reproducibility was evaluated using two independent delineations conducted by two observers. The ability to predict local control (LC), progression-free survival (PFS) and overall survival (OS) was tested for each parameter. All of the seven parameters except zone percentage showed good reproducibility, with intraclass correlation coefficient values >0.8. In univariate analysis, only HILAE was a significant predictor for LC. Histology, dose fractionation, and maximum SUV were associated with PFS, and histology and dose fractionation were associated with OS. We showed that texture parameters derived from 18 F-FDG PET/CT were reproducible and potentially beneficial for predicting LC in Stage I lung cancer patients treated with SBRT.