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

References

1. 1.↵
   2. Chaturvedi AK,
   3. Engels EA,
   4. Pfeiffer RM, et al

   . Human papillomavirus and rising oropharyngeal cancer incidence in the United States. J Clin Oncol 2011;29:4294–4301 doi:10.1200/JCO.2011.36.4596 pmid:21969503

   Abstract/FREE Full Text
2. 2.↵
   2. Ang KK,
   3. Harris J,
   4. Wheeler R, et al

   . Human papillomavirus and survival of patients with oropharyngeal cancer. N Engl J Med 2010;363:24–35 doi:10.1056/NEJMoa0912217 pmid:20530316

   CrossRefPubMedWeb of Science
3. 3.↵
   2. Kaplon AW,
   3. Galloway TJ,
   4. Bhayani MK, et al

   . Effect of HPV status on survival of oropharynx cancer with distant metastasis. Otolaryngol Head Neck Surg 2020;163:372–74 doi:10.1177/0194599820913604 pmid:32204640

   CrossRefPubMed
4. 4.↵
   2. Glastonbury CM,
   3. Mukherji SK,
   4. O'Sullivan B, et al

   . Setting the stage for 2018: how the changes in the American Joint Committee on Cancer/Union for International Cancer Control Cancer Staging Manual Eighth Edition impact radiologists. AJNR Am J Neuroradiol 2017;38:2231–37 doi:10.3174/ajnr.A5409 pmid:29025723

   Abstract/FREE Full Text
5. 5.↵
   2. Brierley DE,
   3. Gospodarowicz MK,
   4. Wittekind C

   . TNM Classification of Malignant Tumors. 8th ed. Wiley-Blackwell; 2017
6. 6.↵
   2. Thomas J,
   3. Primeaux T

   . Is p16 immunohistochemistry a more cost-effective method for identification of human papilloma virus-associated head and neck squamous cell carcinoma? Ann Diagn Pathol 2012;16:91–99 doi:10.1016/j.anndiagpath.2011.09.002 pmid:22197546

   CrossRefPubMed
7. 7.↵
   2. Westra WH

   . The pathology of HPV– related head and neck cancer: implications for the diagnostic pathologist. Semin Diagn Pathol 2015;32:42–53 doi:10.1053/j.semdp.2015.02.023 pmid:25804343

   CrossRefPubMed
8. 8.↵
   2. de Perrot T,
   3. Lenoir V,
   4. Domingo AM, et al

   . 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. AJNR Am J Neuroradiol 2017;38:2153–60 doi:10.3174/ajnr.A5370 pmid:28912282

   Abstract/FREE Full Text
9. 9.↵
   2. Nakahira M,
   3. Saito N,
   4. Yamaguchi H, et al

   . Use of quantitative diffusion-weighted magnetic resonance imaging to predict human papilloma virus status in patients with oropharyngeal squamous cell carcinoma. Eur Arch Otorhinolaryngol 2014;271:1219–25 doi:10.1007/s00405-013-2641-7 pmid:23880924

   CrossRefPubMed
10. 10.↵
    2. Ravanelli M,
    3. Grammatica A,
    4. Tononcelli E, et al

    . Correlation between human papillomavirus status and quantitative MR imaging parameters including diffusion-weighted imaging and texture features in oropharyngeal carcinoma. AJNR Am J Neuroradiol 2018;39:1878–83 doi:10.3174/ajnr.A5792 pmid:30213805

    Abstract/FREE Full Text
11. 11.↵
    2. Payabvash S,
    3. Chan A,
    4. Jabehdar Maralani P, et al

    . Quantitative diffusion magnetic resonance imaging for prediction of human papillomavirus status in head and neck squamous-cell carcinoma: a systematic review and meta-analysis. Neuroradiol J 2019;32:232–40 doi:10.1177/1971400919849808 pmid:31084347

    CrossRefPubMed
12. 12.↵
    2. Schouten CS,
    3. de Graaf P,
    4. Bloemena E, et al

    . Quantitative diffusion-weighted MRI parameters and human papillomavirus status in oropharyngeal squamous cell carcinoma. AJNR Am J Neuroradiol 2015;36:763–67 doi:10.3174/ajnr.A4271 pmid:25721078

    Abstract/FREE Full Text
13. 13.↵
    2. Wong KH,
    3. Panek R,
    4. Welsh L, et al

    . The predictive value of early assessment after 1 cycle of induction chemotherapy with 18F-FDG PET/CT and diffusion-weighted MRI for response to radical chemoradiotherapy in head and neck squamous cell carcinoma. J Nucl Med 2016;57:1843–50 doi:10.2967/jnumed.116.174433 pmid:27417648

    Abstract/FREE Full Text
14. 14.↵
    2. Padhani AR,
    3. Liu G,
    4. Koh DM, et al

    . Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 2009;11:102–25 doi:10.1593/neo.81328 pmid:19186405

    CrossRefPubMedWeb of Science
15. 15.↵
    2. Kolff-Gart AS,
    3. Pouwels PJ,
    4. Noij DP, et al

    . Diffusion-weighted imaging of the head and neck in healthy subjects: reproducibility of ADC values in different MRI systems and repeat sessions. AJNR Am J Neuroradiol 2015;36:384–90 doi:10.3174/ajnr.A4114 pmid:25258365

    Abstract/FREE Full Text
16. 16.↵
    2. Bihan DL

    . What can we see with IVIM MRI? Neuroimage 2019;187:156–67 doi:10.1016/j.neuroimage.2017.12.062 pmid:29277647

    CrossRefPubMed
17. 17.↵
    2. Becker M,
    3. Varoquaux AD,
    4. Combescure C, et al

    . Local recurrence of squamous cell carcinoma of the head and neck after radio(chemo)therapy: diagnostic performance of FDG-PET/MRI with diffusion-weighted sequences. Eur Radiol 2018;28:651–63 doi:10.1007/s00330-017-4999-1 pmid:28812148

    CrossRefPubMed
18. 18.↵
    2. Vandecaveye V,
    3. De Keyzer F,
    4. Vander Poorten V, et al

    . Head and neck squamous cell carcinoma: value of diffusion-weighted MR imaging for nodal staging. Radiology 2009;251:134 46 doi:10.1148/radiol.2511080128 pmid:19251938

    CrossRefPubMed
19. 19.↵
    2. Bishop JA,
    3. Lewis JS Jr.,
    4. Rocco JW, et al

    . HPV– related squamous cell carcinoma of the head and neck: an update on testing in routine pathology practice. Semin Diagn Pathol 2015;32:344–51 doi:10.1053/j.semdp.2015.02.013 pmid:25724476

    CrossRefPubMed
20. 20.↵
    2. Barnes A,
    3. Alonzi R,
    4. Blackledge M, et al

    . UK quantitative WB-DWI technical workgroup: consensus meeting recommendations on optimisation, quality control, processing and analysis of quantitative whole-body diffusion-weighted imaging for cancer. Br J Radiol 2018;91:20170577 doi:10.1259/bjr.20170577 pmid:29076749

    CrossRefPubMed
21. 21.↵
    2. Feng Z,
    3. Min X,
    4. Margolis DJ, et al

    . Evaluation of different mathematical models and different b-value ranges of diffusion-weighted imaging in peripheral zone prostate cancer detection using b-value up to 4500 s/mm2. PLoS One 2017;12:e0172127 doi:10.1371/journal.pone.0172127 pmid:28199367

    CrossRefPubMed
22. 22.↵
    2. Zhang J,
    3. Suo S,
    4. Liu G, et al

    . Comparison of monoexponential, biexponential, stretched-exponential, and kurtosis models of diffusion-weighted imaging in differentiation of renal solid masses. Korean J Radiol 2019;20:791–800 doi:10.3348/kjr.2018.0474 pmid:30993930

    CrossRefPubMed