Literature DB >> 25783872

Correlation of human papillomavirus status with apparent diffusion coefficient of diffusion-weighted MRI in head and neck squamous cell carcinomas.

Juliette P Driessen1,2, Alexander J M van Bemmel1,2, Pauline M W van Kempen1,2, Luuk M Janssen1, Chris H J Terhaard3, Frank A Pameijer4, Stefan M Willems5, Inge Stegeman1,2, Wilko Grolman1,2, Marielle E P Philippens3.   

Abstract

BACKGROUND: Identification of prognostic patient characteristics in head and neck squamous cell carcinoma (HNSCC) is of great importance. Human papillomavirus (HPV)-positive HNSCCs have favorable response to (chemo)radiotherapy. Apparent diffusion coefficient, derived from diffusion-weighted MRI, has also shown to predict treatment response. The purpose of this study was to evaluate the correlation between HPV status and apparent diffusion coefficient.
METHODS: Seventy-three patients with histologically proven HNSCC were retrospectively analyzed. Mean pretreatment apparent diffusion coefficient was calculated by delineation of total tumor volume on diffusion-weighted MRI. HPV status was analyzed and correlated to apparent diffusion coefficient.
RESULTS: Six HNSCCs were HPV-positive. HPV-positive HNSCC showed significantly lower apparent diffusion coefficient compared to HPV-negative. This correlation was independent of other patient characteristics.
CONCLUSION: In HNSCC, positive HPV status correlates with low mean apparent diffusion coefficient. The favorable prognostic value of low pretreatment apparent diffusion coefficient might be partially attributed to patients with a positive HPV status.
© 2015 Wiley Periodicals, Inc. Head Neck 38: E613-E618, 2016. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  apparent diffusion coefficient; diffusion; diffusion-weighted MRI; head and neck squamous cell carcinoma (HNSCC); human papillomavirus (HPV)

Mesh:

Year:  2015        PMID: 25783872     DOI: 10.1002/hed.24051

Source DB:  PubMed          Journal:  Head Neck        ISSN: 1043-3074            Impact factor:   3.147


  15 in total

1.  Adaptive Boost Target Definition in High-Risk Head and Neck Cancer Based on Multi-imaging Risk Biomarkers.

Authors:  Feifei Teng; Madhava Aryal; Jae Lee; Choonik Lee; Xioajin Shen; Peter G Hawkins; Michelle Mierzwa; Avraham Eisbruch; Yue Cao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-12-21       Impact factor: 7.038

2.  Apparent Diffusion Coefficient Histograms of Human Papillomavirus-Positive and Human Papillomavirus-Negative Head and Neck Squamous Cell Carcinoma: Assessment of Tumor Heterogeneity and Comparison with Histopathology.

Authors:  T de Perrot; V Lenoir; M Domingo Ayllón; N Dulguerov; M Pusztaszeri; M Becker
Journal:  AJNR Am J Neuroradiol       Date:  2017-09-14       Impact factor: 3.825

3.  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

4.  Diffusion-Weighted Imaging of Nasopharyngeal Carcinoma: Can Pretreatment DWI Predict Local Failure Based on Long-Term Outcome?

Authors:  B K H Law; A D King; K S Bhatia; A T Ahuja; M K M Kam; B B Ma; Q Y Ai; F K F Mo; J Yuan; D K W Yeung
Journal:  AJNR Am J Neuroradiol       Date:  2016-05-05       Impact factor: 3.825

5.  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 6.  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

7.  Intravoxel incoherent motion diffusion-weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma.

Authors:  Ramesh Paudyal; Jung Hun Oh; Nadeem Riaz; Praveen Venigalla; Jingao Li; Vaios Hatzoglou; Jonathan Leeman; David Aramburu Nunez; Yonggang Lu; Joseph O Deasy; Nancy Lee; Amita Shukla-Dave
Journal:  J Magn Reson Imaging       Date:  2016-11-11       Impact factor: 4.813

8.  The ability of post-chemoradiotherapy DWI ADCmean and 18F-FDG SUVmax to predict treatment outcomes in head and neck cancer: impact of human papilloma virus oropharyngeal cancer status.

Authors:  S Connor; C Sit; M Anjari; M Lei; T Guerrero-Urbano; T Szyszko; G Cook; P Bassett; V Goh
Journal:  J Cancer Res Clin Oncol       Date:  2021-06-22       Impact factor: 4.553

Review 9.  Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations.

Authors:  Ann D King; Harriet C Thoeny
Journal:  Cancer Imaging       Date:  2016-08-19       Impact factor: 3.909

10.  Predictive Values of MRI and PET Derived Quantitative Parameters for Patterns of Failure in Both p16+ and p16- High Risk Head and Neck Cancer.

Authors:  Yue Cao; Madhava Aryal; Pin Li; Choonik Lee; Matthew Schipper; Peter G Hawkins; Christina Chapman; Dawn Owen; Aleksandar F Dragovic; Paul Swiecicki; Keith Casper; Francis Worden; Theodore S Lawrence; Avraham Eisbruch; Michelle Mierzwa
Journal:  Front Oncol       Date:  2019-11-14       Impact factor: 6.244

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