Ozkan Efe, West Anna, Dedelow Jeffrey A, Chu Benjamin F, Zhao Weiqiang, Yildiz Vedat O, Otterson Gregory A, Shilo Konstantin, Ghosh Subha, King Mark, White Richard D, Erdal Barbaros S
1 Department of Radiology, The Ohio State University, 395 W 12th Ave, Columbus, OH 43210.
2 Helen and Harry Gray Cancer Center, Hartford Hospital, Hartford, CT.
AJR Am J Roentgenol. 2015 Nov;205(5):1016-25. doi: 10.2214/AJR.14.14147.
The purpose of this study was to investigate the radiogenomic correlation between CT gray-level texture features and epidermal growth factor receptor (EGFR) mutation status in adenocarcinoma of the lung.
This retrospective study included 25 patients with exon 19 short inframe deletion (exon 19) and 21 patients with exon 21 L858R point (exon 21) EGFR mutations among 125 patients with EGFR mutant adenocarcinoma of the lung. The randomly formed control group consisted of 20 patients selected from 126 patients with EGFR mutation-negative (wild-type) adenocarcinomas. Five gray-level texture features (contrast, correlation, inverse difference moment, angular second moment, and entropy) were analyzed.
Contrast differentiated both exon 19 (p = 0.00027) and exon 21 (p = 0.00001) mutants from the wild type. Wild-type adenocarcinomas had high scores for contrast (mean, 1598.547) compared with EGFR mutants (mean, 679.463). Correlation differentiated both exon 19 (p = 0.017) and exon 21 (p = 0.0015) mutants from wild-type adenocarcinomas. Inverse difference moment differentiated exon 19 mutants from exon 21 mutants (p = 0.019) and both exon 19 (p = 0.044) and exon 21 (p = 0.00001) mutants from wild-type adenocarcinomas. Angular second moment and entropy were not associated with statistically significant differences between mutation statuses.
Contrast, correlation, and inverse difference moment texture features correlate with EGFR mutation status in adenocarcinoma of the lung. Further investigation with larger prospective studies is needed to validate the role of CT gray-level texture analysis as a quantitative imaging biomarker.
本研究旨在探讨肺腺癌CT灰度纹理特征与表皮生长因子受体（EGFR）突变状态之间的放射基因组相关性。
本回顾性研究纳入了125例EGFR突变型肺腺癌患者，其中25例为外显子19框内短缺失（外显子19），21例为外显子21 L858R点突变（外显子21）。随机组成的对照组由从126例EGFR突变阴性（野生型）腺癌患者中选出的20例患者组成。分析了五个灰度纹理特征（对比度、相关性、逆差矩、角二阶矩和熵）。
对比度可区分外显子19（p = 0.00027）和外显子21（p = 0.00001）突变体与野生型。与EGFR突变体（均值为679.463）相比，野生型腺癌的对比度得分较高（均值为1598.547）。相关性可区分外显子19（p = 0.017）和外显子21（p = 0.0015）突变体与野生型腺癌。逆差矩可区分外显子19突变体与外显子21突变体（p = 0.019），以及外显子19（p = 0.044）和外显子21（p = 0.00001）突变体与野生型腺癌。角二阶矩和熵在不同突变状态之间无统计学显著差异。
对比度、相关性和逆差矩纹理特征与肺腺癌的EGFR突变状态相关。需要进一步进行更大规模的前瞻性研究来验证CT灰度纹理分析作为定量成像生物标志物的作用。
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