Akifumi Fujita1, Karen Buch, Baojun Li, Yusuke Kawashima, Muhammad M Qureshi, Osamu Sakai. 1. From the *Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA; †Department of Radiology, Jichi Medical University, School of Medicine, Shimotsuke, Tochigi; and ‡Department of Radiology, Nihon University School of Dentistry at Matsudo, Chiba, Japan; and §Departments of Radiation Oncology and ∥Otolaryngology-Head and Neck Surgery, Boston Medical Center, Boston University School of Medicine, Boston, MA.
Abstract
OBJECTIVE: To identify the specific texture parameter that shows significant differences between human papillomavirus (HPV)-positive (HPV) and HPV-negative (HPV) non-oropharyngeal carcinoma (non-OPC) using texture analysis. METHODS: Forty-six patients of non-OPC patients (oral cavity, larynx, and hypopharynx) with known HPV status, who underwent contrast-enhanced computed tomography for initial staging, were retrospectively reviewed. Segmentations of the primary lesion were manually performed, and an in-house developed texture analysis program extracted 42 texture features from each segmented volume. A t test was used to evaluate differences between HPV and HPV non-OPCs (P < 0.05). RESULTS: Sixteen texture parameters, including 5 histogram features (P ≤ 0.03), 3 gray-level co-occurrence matrix features (P ≤ 0.02), 1 gray-level run-length feature (P = 0.009), 2 gray-level gradient matrix features (P ≤ 0.02), and 5 Law features (P ≤ 0.04), showed significant differences. CONCLUSIONS: Texture analysis demonstrated significant differences between HPV and HPV non-OPCs on computed tomography images, which may have a potential to prove morphologic feature differences among HPV-related tumors.
OBJECTIVE: To identify the specific texture parameter that shows significant differences between human papillomavirus (HPV)-positive (HPV) and HPV-negative (HPV) non-oropharyngeal carcinoma (non-OPC) using texture analysis. METHODS: Forty-six patients of non-OPC patients (oral cavity, larynx, and hypopharynx) with known HPV status, who underwent contrast-enhanced computed tomography for initial staging, were retrospectively reviewed. Segmentations of the primary lesion were manually performed, and an in-house developed texture analysis program extracted 42 texture features from each segmented volume. A t test was used to evaluate differences between HPV and HPV non-OPCs (P < 0.05). RESULTS: Sixteen texture parameters, including 5 histogram features (P ≤ 0.03), 3 gray-level co-occurrence matrix features (P ≤ 0.02), 1 gray-level run-length feature (P = 0.009), 2 gray-level gradient matrix features (P ≤ 0.02), and 5 Law features (P ≤ 0.04), showed significant differences. CONCLUSIONS: Texture analysis demonstrated significant differences between HPV and HPV non-OPCs on computed tomography images, which may have a potential to prove morphologic feature differences among HPV-related tumors.
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