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Using CT texture analysis to differentiate between nasopharyngeal carcinoma and age-matched adenoid controls
Amy Tsai1, Karen Buch1, Akifumi Fujita2
1Departments of Radiology, Boston University School of Medicine, 820 Harrison Avenue, Boston, Massachusetts, United States.
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.
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