Using CT texture analysis to differentiate between nasopharyngeal carcinoma and age-matched adenoid controls. Issue 108 (November 2018)

• Record Type: Journal Article
• Authors: Tsai, Amy; Buch, Karen; Fujita, Akifumi; Qureshi, Muhammad Mustafa; Kuno, Hirofumi; Chapman, Margaret N.; Li, Baojun; Oda, Masafumi; Truong, Minh Tam; Sakai, Osamu
• Is Part Of: European journal of radiology. Issue 108(2018)
• Page Start: 208
• Page End: 214
• Publication Date: 2018-11
• Subjects: NPC nasopharyngeal carcinoma -- 18F-FDG PET [18F]-fluorodeoxyglucose positron emission tomography -- CT computed tomography -- IQR interquartile range -- GLCM gray-level co-occurrence matrix -- GLRL gray-level run length -- SRLGE short-run low gray-level emphasis -- SRHGE short-run high gray-level emphasis -- GLGM gray-level gradient matrix -- SRE short-run emphasis -- LRE long-run emphasis -- GLN gray-level nonuniformity -- RLN run-length nonuniformity -- RP run percentage -- LGRE low gray-level run emphasis -- HGRE high gray-level run emphasis -- SRLGE short-run low gray-level emphasis -- SRHGE short-run high gray-level emphasis -- LRLGE long-run low gray-level emphasis -- LRHGE long-run high gray-level emphasis -- MGR mean gradients -- VGR variance of gradients; Nasopharyngeal carcinoma -- Adenoid -- CT -- Texture analysis; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2018.09.012
• Languages: English
• ISSNs: 0720-048X

Abstract

Abstract: Objectives: To investigate the use of texture analysis to quantitatively distinguish nasopharyngeal carcinoma (NPC) from normal adenoid on CT. Methods: In this IRB-approved, retrospective study, nasopharyngeal tissues in 13 patients with NPC and 13 control patients were manually contoured, segmented, and imported to an in-house developed texture analysis program, which extracted 41 texture features. Basic descriptive statistics were performed to evaluate for differences in texture parameters between NPC and controls. Results: Statistically significant differences between NPC and controls were seen in 32 of 41 texture features. These significant differences were present in 11 of 12 histogram features, 4 of 5 gray-level co-occurrence matrix features, 7 of 11 gray-level run length features, 4 of 4 gray-level gradient matrix features, and 6 of 9 Laws features. Conclusion: Significant differences in many texture features were seen between NPC and normal adenoids. CT texture analysis may aid in differentiating NPC from normal adenoid tissue.