Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66:7–30.
Article
PubMed
Google Scholar
Fletcher JW, Djulbegovic B, Soares HP, Siegel BA, Lowe VJ, Lyman GH, et al. Recommendations on the use of 18F-FDG PET in oncology. J Nucl Med. 2008;49:480–508.
Article
PubMed
Google Scholar
Halfpenny W, Hain S, Biassoni L, Maisey M, Sherman J, McGurk M. FDG–PET. A possible prognostic factor in head and neck cancer. Br J Cancer. 2002;86:512–6.
Article
CAS
PubMed
PubMed Central
Google Scholar
Sauter AW, Wehrl HF, Kolb A, Judenhofer MS, Pichler BJ. Combined PET/MRI: one step further in multimodality imaging. Trends Mol Medicine. 2010;16:508–15.
Article
Google Scholar
Partovi S, Kohan A, Rubbert C, Vercher-Conejero JL, Gaeta C, Yuh R, et al. Clinical oncologic applications of PET/MRI: a new horizon. Am J Nucl Med Mol Imaging. 2014;4:202–12.
PubMed
PubMed Central
Google Scholar
Pace L, Nicolai E, Aiello M, Catalano OA, Salvatore M. Whole-body PET/MRI in oncology: current status and clinical applications. Clin Transl Imaging. 2013;1:31–44.
Article
Google Scholar
Jadvar H, Colletti PM. Competitive advantage of PET/MRI. Eur J Radiol. 2014;83:84–94.
Article
PubMed
Google Scholar
Lee SJ, Seo HJ, Cheon GJ, Kim JH, Kim EE, Kang KW, et al. Usefulness of integrated PET/MRI in head and neck cancer: a preliminary study. Nucl Med Mol Imaging. 2014;48:98–105.
Article
CAS
PubMed
Google Scholar
Queiroz MA, Huellner MW. PET/MR in cancers of the head and neck. Semin Nucl Med. 2015;45:248–65.
Article
PubMed
Google Scholar
Yamauchi H, Srinivasan A. Diffusion imaging of the head and neck. Curr Radiol Rep. 2014;2:49.
Article
Google Scholar
Becker M, Zaidi H. Imaging in head and neck squamous cell carcinoma: the potential role of PET/MRI. Br J Radiol. 2014;87:20130677.
Article
PubMed
PubMed Central
Google Scholar
Zhang S-C, Bao Y-Y, Zhou S-H, Shang D-S. Application value of diffusion weighted magnetic resonance imaging in head and neck cancer. Int J Clin Exp Med. 2016;9:16747–52.
Google Scholar
Srinivasan A, Dvorak R, Perni K, Rohrer S, Mukherji S. Differentiation of benign and malignant pathology in the head and neck using 3T apparent diffusion coefficient values: early experience. AJNR Am J Neuroradiol. 2008;29:40–4.
Article
CAS
PubMed
Google Scholar
King AD, Thoeny HC. Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations. Cancer Imaging. 2016;16:23.
Article
PubMed
PubMed Central
Google Scholar
Chung MK, Jeong HS, Park SG, Jang JY, Son YI, Choi JY, et al. Metabolic tumor volume of [18F]-fluorodeoxyglucose positron emission tomography/computed tomography predicts short-term outcome to radiotherapy with or without chemotherapy in pharyngeal cancer. Clin Cancer Res. 2009;15:5861–8.
Article
CAS
PubMed
Google Scholar
Kao CH, Lin SC, Hsieh TC, Yen KY, Yang SN, Wang YC, et al. Use of pretreatment metabolic tumour volumes to predict the outcome of pharyngeal cancer treated by definitive radiotherapy. Eur J Nucl Med Mol Imaging. 2012;39:1297–305.
Article
PubMed
Google Scholar
Brandmaier P, Purz S, Bremicker K, Höckel M, Barthel H, Kluge R, et al. Simultaneous [18F]FDG-PET/MRI: correlation of apparent diffusion coefficient (ADC) and standardized uptake value (SUV) in primary and recurrent cervical cancer. PLoS One. 2015;10:e0141684.
Article
CAS
PubMed
PubMed Central
Google Scholar
Hoang JK, Choudhury KR, Chang J, Craciunescu OI, Yoo DS, Brizel DM. Diffusion-weighted imaging for head and neck squamous cell carcinoma: quantifying repeatability to understand early treatment-induced change. AJR Am J Roentgenol. 2014;203:1104–8.
Article
PubMed
Google Scholar
Machtay M, Natwa M, Andrel J, Hyslop T, Anne PR, Lavarino J, et al. Pretreatment FDG-PET standardized uptake value as a prognostic factor for outcome in head and neck cancer. Head Neck. 2009;31:195–201.
Article
PubMed
Google Scholar
Higgins KA, Hoang JK, Roach MC, Chino J, Yoo DS, Turkington TG, et al. Analysis of pretreatment FDG-PET SUV parameters in head-and-neck cancer: tumor SUV mean has superior prognostic value. Int J Radiat Oncol Biol Phys. 2012;82:548–53.
Article
PubMed
Google Scholar
Thie JA. Understanding the standardized uptake value, its methods, and implications for usage. J Nucl Med. 2004;45:1431–4.
PubMed
Google Scholar
Y-i K, Paeng JC, Cheon GJ, Suh K-S, Lee DS, Chung J-K, et al. Prediction of posttransplantation recurrence of hepatocellular carcinoma using metabolic and volumetric indices of 18F-FDG PET/CT. J Nucl Med. 2016;57:1045–51.
Article
Google Scholar
Lim R, Eaton A, Lee NY, Setton J, Ohri N, Rao S, et al. 18F-FDG PET/CT metabolic tumor volume and total lesion glycolysis predict outcome in oropharyngeal squamous cell carcinoma. J Nucl Med. 2012;53:1506–13.
Article
CAS
PubMed
Google Scholar
Choi K-H, Yoo IR, Han EJ, Kim YS, Kim GW, Na SJ, et al. Prognostic value of metabolic tumor volume measured by 18F-FDG PET/CT in locally advanced head and neck squamous cell carcinomas treated by surgery. Nucl Med Mol Imaging. 2011;45:43–51.
Article
PubMed
Google Scholar
Zhang Y, Liu X, Zhang Y, Li W-F, Chen L, Mao Y-P, et al. Prognostic value of the primary lesion apparent diffusion coefficient (ADC) in nasopharyngeal carcinoma: a retrospective study of 541 cases. Sci Rep. 2015;5:12242.
Article
CAS
PubMed
PubMed Central
Google Scholar
Nakajo M, Nakajo M, Kajiya Y, Tani A, Kamiyama T, Yonekura R, et al. FDG PET/CT and diffusion-weighted imaging of head and neck squamous cell carcinoma: comparison of prognostic significance between primary tumor standardized uptake value and apparent diffusion coefficient. Clin Nucl Med. 2012;37:475–80.
Article
PubMed
Google Scholar
Preda L, Conte G. Combining standardized uptake value of FDG-PET and apparent diffusion coefficient of DW-MRI improves risk stratification in head and neck squamous cell carcinoma. Eur Radiol. 2016;26:4432–41.
Article
PubMed
Google Scholar
Becker M, Varoquaux AD, Combescure C, Rager O, Pusztaszeri M, Burkhardt K, 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. 2017; https://doi.org/10.1007/s00330-017-4999-1.
Surov A, Stumpp P, Meyer HJ, Gawlitza M, Höhn A-K, Boehm A, et al. Simultaneous 18F-FDG-PET/MRI: associations between diffusion, glucose metabolism and histopathological parameters in patients with head and neck squamous cell carcinoma. Oral Oncol. 2016;58:14–20.
Article
CAS
PubMed
Google Scholar
Byun BH, Noh WC, Lim I, Lee SS, Cho AR, Park JA, et al. A new method for apparent diffusion coefficient measurement using sequential 18F-FDG PET and MRI: correlation with histological grade of invasive ductal carcinoma of the breast. Ann Nucl Med. 2013;27:720–8.
Article
CAS
PubMed
Google Scholar
Stacker SA, Baldwin ME, Achen MG. The role of tumor lymphangiogenesis in metastatic spread. FASEB J. 2002;16:922–34.
Article
CAS
PubMed
Google Scholar
Michikawa C, Uzawa N, Kayamori K, Sonoda I, Ohyama Y, Okada N, et al. Clinical significance of lymphatic and blood vessel invasion in oral tongue squamous cell carcinomas. Oral Oncol. 2012;48:320–4.
Article
PubMed
Google Scholar
Longatto Filho A, Oliveira TG, Pinheiro C, de Carvalho MB, Curioni OA, Mercante AM, et al. How useful is the assessment of lymphatic vascular density in oral carcinoma prognosis? World J Surg Oncol. 2007;5:140.
Article
PubMed
PubMed Central
Google Scholar
Liang P, Nakada I, Hong JW, Tabuchi T, Motohashi G, Takemura A, et al. Prognostic significance of immunohistochemically detected blood and lymphatic vessel invasion in colorectal carcinoma: its impact on prognosis. Ann Surg Oncology. 2007;14:470–7.
Article
Google Scholar
Dayyani F, Etzel CJ, Liu M, Ho CH, Lippman SM, Tsao AS. Meta-analysis of the impact of human papillomavirus (HPV) on cancer risk and overall survival in head and neck squamous cell carcinomas (HNSCC). Head Neck Oncol. 2010;2:15.
Article
PubMed
PubMed Central
Google Scholar
Sharma SJ, Wittekindt C, Knuth J, Steiner D, Wuerdemann N, Laur M, et al. Intraindividual homogeneity of (18)F-FDG PET/CT parameters in HPV-positive OPSCC. Oral Oncol. 2017;73:166–71.
Article
PubMed
Google Scholar
de Perrot T, Lenoir V. 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.
Article
CAS
PubMed
Google Scholar
Pak K, Cheon GJ, Nam HY, Kim SJ, Kang KW, Chung JK, et al. Prognostic value of metabolic tumor volume and total lesion glycolysis in head and neck cancer: a systematic review and meta-analysis. J Nucl Med. 2014;55:884–90.
Article
CAS
PubMed
Google Scholar