Literature DB >> 25836725

Using Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinomas on CT.

K Buch1, A Fujita1, B Li1, Y Kawashima1, M M Qureshi2, O Sakai3.   

Abstract

BACKGROUND AND
PURPOSE: Human papillomavirus-associated oropharyngeal squamous cell carcinoma is increasing in prevalence and typically occurs in younger patients than human papillomavirus-negative squamous cell carcinoma. While imaging features of human papillomavirus-positive versus human papillomavirus-negative squamous cell carcinoma nodal metastases have been described, characteristics distinguishing human papillomavirus-positive from human papillomavirus-negative primary squamous cell carcinomas have not been well established. The purpose of this project was to evaluate the use of texture features to distinguish human papillomavirus-positive and human papillomavirus-negative primary oropharyngeal squamous cell carcinoma.
MATERIALS AND METHODS: Following institutional review board approval, 40 patients with primary oropharyngeal squamous cell carcinoma and known human papillomavirus status who underwent contrast-enhanced CT between December 2009 and October 2013 were included in this study. Segmentation of the primary lesion was manually performed with a semiautomated graphical-user interface. Following segmentation, an in-house-developed texture analysis program extracted 42 texture features from each segmented volume. A t test was used to evaluate differences in texture parameters between human papillomavirus-positive and human papillomavirus-negative squamous cell carcinomas.
RESULTS: Of the 40 included patients, 29 had human papillomavirus-positive oropharyngeal squamous cell carcinoma and 11 had human papillomavirus-negative oropharyngeal squamous cell carcinoma. Significant differences were seen in the histogram parameters median (P = .006) and entropy (P = .016) and squamous cell carcinoma entropy (P = .043).
CONCLUSIONS: There are statistically significant differences in some texture features between human papillomavirus-positive and human papillomavirus-negative oropharyngeal tumors. Texture analysis may be considered an adjunct to the evaluation of human papillomavirus status and characterization of squamous cell carcinoma.
© 2015 by American Journal of Neuroradiology.

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Year:  2015        PMID: 25836725      PMCID: PMC7965289          DOI: 10.3174/ajnr.A4285

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  24 in total

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Review 2.  Epidemiology and clinical aspects of HPV in head and neck cancers.

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3.  Evaluation of the mean and entropy of apparent diffusion coefficient values in chronic hepatitis C: correlation with pathologic fibrosis stage and inflammatory activity grade.

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Journal:  Radiology       Date:  2011-01-19       Impact factor: 11.105

4.  A texture analysis approach to quantify ventilation changes in hyperpolarised ³He MRI of the rat lung in an asthma model.

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5.  Histologic identification of human papillomavirus (HPV)-related squamous cell carcinoma in cervical lymph nodes: a reliable predictor of the site of an occult head and neck primary carcinoma.

Authors:  Samir K El-Mofty; Megan Q Zhang; Rosa M Davila
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6.  Molecular classification identifies a subset of human papillomavirus--associated oropharyngeal cancers with favorable prognosis.

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Review 7.  The changing face of head and neck cancer in the 21st century: the impact of HPV on the epidemiology and pathology of oral cancer.

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Journal:  Head Neck Pathol       Date:  2009-02-24

8.  Case-control study of human papillomavirus and oropharyngeal cancer.

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Journal:  N Engl J Med       Date:  2007-05-10       Impact factor: 91.245

9.  Differences in imaging characteristics of HPV-positive and HPV-Negative oropharyngeal cancers: a blinded matched-pair analysis.

Authors:  S C Cantrell; B W Peck; G Li; Q Wei; E M Sturgis; L E Ginsberg
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-09       Impact factor: 3.825

10.  Incidence of human papillomavirus (HPV) positive tonsillar carcinoma in Stockholm, Sweden: an epidemic of viral-induced carcinoma?

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  41 in total

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Journal:  Radiol Imaging Cancer       Date:  2020-05-15

2.  Quantitative Assessment of Variation in CT Parameters on Texture Features: Pilot Study Using a Nonanatomic Phantom.

Authors:  K Buch; B Li; M M Qureshi; H Kuno; S W Anderson; O Sakai
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-24       Impact factor: 3.825

3.  CT Texture Analysis: Defining and Integrating New Biomarkers for Advanced Oncologic Imaging in Precision Medicine: A Comment on "CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy".

Authors:  M Becker
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-12       Impact factor: 3.825

4.  Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm.

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Journal:  Eur Radiol       Date:  2018-01-02       Impact factor: 5.315

5.  Discrimination of HPV status using CT texture analysis: tumour heterogeneity in oropharyngeal squamous cell carcinomas.

Authors:  Ji Young Lee; Miran Han; Kap Seon Kim; Su-Jin Shin; Jin Wook Choi; Eun Ju Ha
Journal:  Neuroradiology       Date:  2019-10-22       Impact factor: 2.804

6.  Prediction of Human Papillomavirus Status and Overall Survival in Patients with Untreated Oropharyngeal Squamous Cell Carcinoma: Development and Validation of CT-Based Radiomics.

Authors:  Y Choi; Y Nam; J Jang; N-Y Shin; K-J Ahn; B-S Kim; Y-S Lee; M-S Kim
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7.  MRI-Based Texture Analysis to Differentiate Sinonasal Squamous Cell Carcinoma from Inverted Papilloma.

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8.  Segmentation and texture analysis of structural biomarkers using neighborhood-clustering-based level set in MRI of the schizophrenic brain.

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9.  Histogram analysis of arterial spin labeling perfusion data to determine the human papillomavirus status of oropharyngeal squamous cell carcinomas.

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Journal:  Neuroradiology       Date:  2021-06-29       Impact factor: 2.804

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

Authors:  H Kuno; M M Qureshi; M N Chapman; B Li; V C Andreu-Arasa; K Onoue; M T Truong; O Sakai
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-12       Impact factor: 3.825

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