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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleHead and Neck Imaging

CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy

H. Kuno, M.M. Qureshi, M.N. Chapman, B. Li, V.C. Andreu-Arasa, K. Onoue, M.T. Truong and O. Sakai
American Journal of Neuroradiology December 2017, 38 (12) 2334-2340; DOI: https://doi.org/10.3174/ajnr.A5407
H. Kuno
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
dDepartment of Diagnostic Radiology (H.K.), National Cancer Center Hospital East, Kashiwa, Chiba, Japan.
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M.M. Qureshi
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
bRadiation Oncology (M.M.Q., M.T.T., O.S.)
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M.N. Chapman
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
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B. Li
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
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V.C. Andreu-Arasa
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
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K. Onoue
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
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M.T. Truong
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
bRadiation Oncology (M.M.Q., M.T.T., O.S.)
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O. Sakai
aFrom the Departments of Radiology (H.K., M.M.Q., M.N.C., B.L., V.C.A.A., K.O., M.T.T., O.S.)
bRadiation Oncology (M.M.Q., M.T.T., O.S.)
cOtolaryngology–Head and Neck Surgery (O.S.), Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts
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Abstract

BACKGROUND AND PURPOSE: The accurate prediction of prognosis and failure is crucial for optimizing treatment strategies for patients with cancer. The purpose of this study was to assess the performance of pretreatment CT texture analysis for the prediction of treatment failure in primary head and neck squamous cell carcinoma treated with chemoradiotherapy.

MATERIALS AND METHODS: This retrospective study included 62 patients diagnosed with primary head and neck squamous cell carcinoma who underwent contrast-enhanced CT examinations for staging, followed by chemoradiotherapy. CT texture features of the whole primary tumor were measured using an in-house developed Matlab-based texture analysis program. Histogram, gray-level co-occurrence matrix, gray-level run-length, gray-level gradient matrix, and Laws features were used for texture feature extraction. Receiver operating characteristic analysis was used to identify the optimal threshold of any significant texture parameter. We used multivariate Cox proportional hazards models to examine the association between the CT texture parameter and local failure, adjusting for age, sex, smoking, primary tumor stage, primary tumor volume, and human papillomavirus status.

RESULTS: Twenty-two patients (35.5%) developed local failure, and the remaining 40 (64.5%) showed local control. Multivariate analysis revealed that 3 histogram features (geometric mean [hazard ratio = 4.68, P = .026], harmonic mean [hazard ratio = 8.61, P = .004], and fourth moment [hazard ratio = 4.56, P = .048]) and 4 gray-level run-length features (short-run emphasis [hazard ratio = 3.75, P = .044], gray-level nonuniformity [hazard ratio = 5.72, P = .004], run-length nonuniformity [hazard ratio = 4.15, P = .043], and short-run low gray-level emphasis [hazard ratio = 5.94, P = .035]) were significant predictors of outcome after adjusting for clinical variables.

CONCLUSIONS: Independent primary tumor CT texture analysis parameters are associated with local failure in patients with head and neck squamous cell carcinoma treated with chemoradiotherapy.

ABBREVIATIONS:

CRT
chemoradiotherapy
GLCM
gray-level co-occurrence matrix
GLN
gray-level nonuniformity
GLRL
gray-level run-length
HNSCC
head and neck squamous cell carcinoma
HPV
human papillomavirus
HR
hazard ratio
RLN
run-length nonuniformity
SRE
short-run emphasis
SRLGE
short-run low gray-level emphasis
  • © 2017 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 38 (12)
American Journal of Neuroradiology
Vol. 38, Issue 12
1 Dec 2017
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Cite this article
H. Kuno, M.M. Qureshi, M.N. Chapman, B. Li, V.C. Andreu-Arasa, K. Onoue, M.T. Truong, O. Sakai
CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy
American Journal of Neuroradiology Dec 2017, 38 (12) 2334-2340; DOI: 10.3174/ajnr.A5407

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CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy
H. Kuno, M.M. Qureshi, M.N. Chapman, B. Li, V.C. Andreu-Arasa, K. Onoue, M.T. Truong, O. Sakai
American Journal of Neuroradiology Dec 2017, 38 (12) 2334-2340; DOI: 10.3174/ajnr.A5407
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