Literature DB >> 30213805

Correlation between Human Papillomavirus Status and Quantitative MR Imaging Parameters including Diffusion-Weighted Imaging and Texture Features in Oropharyngeal Carcinoma.

M Ravanelli1, A Grammatica2, E Tononcelli1, R Morello1,3, M Leali1, S Battocchio4, G M Agazzi1, M Buglione di Monale E Bastia5, R Maroldi1, P Nicolai3, D Farina1.   

Abstract

BACKGROUND AND
PURPOSE: The incidence of Oropharyngeal Squampus Cell Carcinoma (OPSCC) cases is increasing especially in the Western countries due to the spreading of human papilloma virus (HPV) infection. Radiological investigations, MRI in particular, are used in the daily clinical practice to stage OPSCC. The aim of this study was to investigate the association of quantitative MR imaging features including diffusion-weighted imaging and human papillomavirus status in oropharyngeal squamous cell carcinoma.
MATERIALS AND METHODS: We retrospectively analyzed 59 patients with untreated histologically proved T2-T4 oropharyngeal squamous cell carcinoma. Human papillomavirus status was determined by viral DNA detection on tissue samples. MR imaging protocol included T2-weighted, contrast-enhanced T1-weighted (volumetric interpolated brain examination), and DWI sequences. Parametric maps of apparent diffusion coefficient were obtained from DWI sequences. Texture analysis was performed on T2 and volumetric-interpolated brain examination sequences and on ADC maps. Differences in quantitative MR imaging features between tumors positive and negative for human papillomavirus and among subgroups of patients stratified by smoking status were tested using the nonparametric Mann-Whitney U test; the false discovery rate was controlled using the Benjamini-Hochberg correction; and a predictive model for human papillomavirus status was built using multivariable logistic regression.
RESULTS: Twenty-eight patients had human papillomavirus-positive oropharyngeal squamous cell carcinoma, while 31 patients had human papillomavirus-negative oropharyngeal squamous cell carcinoma. Tumors positive for human papillomavirus had a significantly lower mean ADC compared with those negative for it (median, 850.87 versus median, 1033.68; P < .001). Texture features had a lower discriminatory power for human papillomavirus status. Skewness on volumetric interpolated brain examination sequences was significantly higher in the subgroup of patients positive for human papillomavirus and smokers (P = .003). A predictive model based on smoking status and mean ADC yielded a sensitivity of 83.3% and specificity 92.6% in classifying human papillomavirus status.
CONCLUSIONS: ADC is significantly lower in oropharyngeal squamous cell carcinoma positive for human papillomavirus compared with oropharyngeal squamous cell carcinoma negative for it. ADC and smoking status allowed noninvasive prediction of human papillomavirus status with a good accuracy. These results should be validated and further investigated on larger prospective studies.
© 2018 by American Journal of Neuroradiology.

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Year:  2018        PMID: 30213805     DOI: 10.3174/ajnr.A5792

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


  13 in total

1.  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

2.  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
Journal:  AJNR Am J Neuroradiol       Date:  2020-09-17       Impact factor: 3.825

3.  Quantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: A systematic review and meta-analysis.

Authors:  Seyedmehdi Payabvash; Aimee Chan; Pejman Jabehdar Maralani; Ajay Malhotra
Journal:  Neuroradiol J       Date:  2019-05-14

Review 4.  Advances in Imaging for HPV-Related Oropharyngeal Cancer: Applications to Radiation Oncology.

Authors:  Travis C Salzillo; Nicolette Taku; Kareem A Wahid; Brigid A McDonald; Jarey Wang; Lisanne V van Dijk; Jillian M Rigert; Abdallah S R Mohamed; Jihong Wang; Stephen Y Lai; Clifton D Fuller
Journal:  Semin Radiat Oncol       Date:  2021-10       Impact factor: 5.421

5.  Diffusion-Weighted Imaging to Assess HPV-Positive versus HPV-Negative Oropharyngeal Squamous Cell Carcinoma: The Importance of b-Values.

Authors:  V Lenoir; B M A Delattre; Y M'RaD; C De Vito; T de Perrot; M Becker
Journal:  AJNR Am J Neuroradiol       Date:  2022-05-26       Impact factor: 4.966

6.  Pretreatment DWI with Histogram Analysis of the ADC in Predicting the Outcome of Advanced Oropharyngeal Cancer with Known Human Papillomavirus Status Treated with Chemoradiation.

Authors:  M Ravanelli; A Grammatica; M Maddalo; M Ramanzin; G M Agazzi; E Tononcelli; S Battocchio; P Bossi; M Vezzoli; R Maroldi; D Farina
Journal:  AJNR Am J Neuroradiol       Date:  2020-07-30       Impact factor: 3.825

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

Authors:  Yura Ahn; Young Jun Choi; Yu Sub Sung; Josef Pfeuffer; Chong Hyun Suh; Sae Rom Chung; Jung Hwan Baek; Jeong Hyun Lee
Journal:  Neuroradiology       Date:  2021-06-29       Impact factor: 2.804

8.  The impact of radiomics for human papillomavirus status prediction in oropharyngeal cancer: systematic review and radiomics quality score assessment.

Authors:  Gaia Spadarella; Lorenzo Ugga; Giuseppina Calareso; Rossella Villa; Serena D'Aniello; Renato Cuocolo
Journal:  Neuroradiology       Date:  2022-04-23       Impact factor: 2.995

9.  Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status.

Authors:  Chong Hyun Suh; Kyung Hwa Lee; Young Jun Choi; Sae Rom Chung; Jung Hwan Baek; Jeong Hyun Lee; Jihye Yun; Sungwon Ham; Namkug Kim
Journal:  Sci Rep       Date:  2020-10-16       Impact factor: 4.379

10.  Prediction of Human Papillomavirus (HPV) Association of Oropharyngeal Cancer (OPC) Using Radiomics: The Impact of the Variation of CT Scanner.

Authors:  Reza Reiazi; Colin Arrowsmith; Mattea Welch; Farnoosh Abbas-Aghababazadeh; Christopher Eeles; Tony Tadic; Andrew J Hope; Scott V Bratman; Benjamin Haibe-Kains
Journal:  Cancers (Basel)       Date:  2021-05-08       Impact factor: 6.639

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