Cancer JS for H and N, Committee CR. Japan society for head and neck cancer, Cancer registry committee. Report of head and neck cancer registry of Japan clinical statistics of registered patients, 2016. http://www.jshnc.umin.ne.jp/pdf/2016syourei_houkok.
El-Naggar AK. WHO classification of tumors of salivary glands. In: El-Naggar AK, Chan JKC, Grandis JR, Takata T, Slootweg PJ, editors. WHO classification of head and neck tumours. 4th ed. Lyon: IARC; 2017. p. 159–202.
Liu CC, Jethwa AR, Khariwala SS, Johnson J, Shin JJ. Sensitivity, specificity, and posttest probability of parotid fine-needle aspiration: a systematic review and meta-analysis. Otolaryngol Head Neck Surg. 2016;154:9–23. https://pubmed.ncbi.nlm.nih.gov/26428476.
Trotta BM, Pease CS, Rasamny JJ, Raghavan P, Mukherjee S. Oral cavity and oropharyngeal squamous cell cancer: key imaging findings for staging and treatment planning. Radiographics. 2011;31:339–54.
Arya S, Rane P, Deshmukh A. Oral cavity squamous cell carcinoma: Role of pretreatment imaging and its influence on management. Clin Radiol. 2014;69:916–30. https://doi.org/10.1016/j.crad.2014.04.013.
Lima RA, Tavares MR, Dias FL, Kligerman J, Nascimento MF, Barbosa MM, et al. Clinical prognostic factors in malignant parotid gland tumors. Otolaryngol Neck Surg. 2005;133:702–8. https://doi.org/10.1016/j.otohns.2005.08.001.
Waldherr C, Hallett R, Zbaeren P. MR imaging of parotid tumors: typical lesion characteristics in MR imaging improve. AJNR Am J Neuroradiol. 2011;32(7):1202–7.
Yerli H, Aydin E, Haberal N, Harman A, Kaskati T, Alibek S. Diagnosing common parotid tumours with magnetic resonance imaging including diffusion-weighted imaging vs. fine-needle aspiration cytology : a comparative study. Dentomaxillofac Radiol. 2010;39:349–55.
Matsushima N, Maeda M, Takamura M, Takeda K. Comparison to histopathological findings. J Neuroradiol. 2007;34:183–9. http://www.sciencedirect.com/science/article/pii/S0150986107002192.
Incoronato M, Aiello M, Infante T, Cavaliere C, Grimaldi AM, Mirabelli P, et al. Radiogenomic analysis of oncological data: a technical survey. Int J Mol Sci. 2017;18:1–28.
Kuno H, Qureshi MM, Chapman MN, Li B, Andreu-Arasa VC, Onoue K, et al. CT texture analysis potentially predicts local failure in head and neck squamous cell carcinoma treated with chemoradiotherapy. Am J Neuroradiol. 2017;38:2334–40.
Liu Y, Xu X, Yin L, Zhang X, Li L, Lu H. Relationship between glioblastoma heterogeneity and survival time: an MR imaging texture analysis. Am J Neuroradiol. 2017;38:1695–701.
Yip C, Landau D, Kozarski R, Ganeshan B, Thomas R, Michaelidou A, et al. Primary esophageal cancer: heterogeneity as potential prognostic biomarker in patients treated with definitive chemotherapy and radiation therapy. Radiology. 2013;270:122869.
Miles KA, Griffiths MR, Young RCD, Chatwin CR. Colorectal cancer: texture analysis of portal phase hepatic CT images as a potential marker of survival. Radiology. 2009;250:444–52.
Kim H, Park CM, Keam B, Park SJ, Kim M, Kim TM, et al. The prognostic value of CT radiomic features for patients with pulmonary adenocarcinoma treated with EGFR tyrosine kinase inhibitors. PLoS ONE. 2017;12:1–13.
Ramkumar S, Ranjbar S, Ning S, Lal D, Zwart CM, Wood CP, et al. MRI-based texture analysis to differentiate sinonasal squamous cell carcinoma from inverted papilloma. Am J Neuroradiol. 2017;38:1019–25.
Kuno H, Garg N, Qureshi MM, Chapman MN, Li B, Meibom SK, et al. CT texture analysis of cervical lymph nodes on contrast-enhanced [18F] FDG-PET/CT images to differentiate nodal metastases from reactive lymphadenopathy in HIV-positive patients with head and neck squamous cell carcinoma. Am J Neuroradiol. 2019;40:543–50.
Dennie C, Thornhill R, Sethi-Virmani V, Souza CA, Bayanati H, Gupta A, et al. Role of quantitative computed tomography texture analysis in the differentiation of primary lung cancer and granulomatous nodules. Quant Imaging Med Surg. 2016;6:6–15. https://europepmc.org/articles/PMC477524.
Stocker D, Marquez HP, Wagner MW, Raptis DA, Clavien PA, Boss A, et al. MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver. Heliyon. 2018;4:e00987. https://doi.org/10.1016/j.heliyon.2018.e00987.
Ho LM, Samei E, Mazurowski MA, Zheng Y, Allen BC, Nelson RC, et al. Can texture analysis be used to distinguish benign from malignant adrenal nodules on unenhanced CT, contrast-enhanced CT, or in-phase and opposed-phase MRI? Am J Roentgenol. 2019;212:554–61. https://doi.org/10.2214/AJR.18.20097.
Deng Y, Soule E, Cui E, Samuel A, Shah S, Lall C, et al. Usefulness of CT texture analysis in differentiating benign and malignant renal tumours. Clin Radiol. 2020;75:108–15. https://doi.org/10.1016/j.crad.2019.09.131.
Thielker J, Grosheva M, Ihrler S, Wittig A, Guntinas-Lichius O. Contemporary management of benign and malignant parotid tumors. Front Surg. 2018;5:1–17.
Cheung MC, Franzmann E, Sola JE, Pincus DJ, Koniaris LG. A Comprehensive analysis of parotid and salivary gland cancer: worse outcomes for male gender. J Surg Res. 2011;171:151–8. http://www.sciencedirect.com/science/article/pii/S0022480409013109.