1 Mukherji SK. Pharynx. In: Som PM, Curtin HD editors. Head and Neck Imaging. 4th ed. St. Louis, MO. Mosby Elsevier; 2003:1464–1520.
2 Nadjib M, Lubis D. The technical procedure and the value of fine needle aspiration biopsy of the nasopharynx. Pathology. 1993;25(1):35–38. doi:10.3109/00313029309068899.
3 Layfield LJ. Fine-needle aspiration in the diagnosis of head and neck lesions: a review and discussion of problems in differential diagnosis. Diagn Cytopathol. 2007;35(12):798–805. doi:10.1002/dc.20769.
4 Zhang ZM, Bao Y, Zhou LX, Zhao R, Huang J, Liu WS. Feasibility of Diagnosing a Submucosal Nasopharyngeal Carcinoma by Endonasopharyngeal Ultrasound-Guided Transnasopharyngeal Needle Aspiration. Chin Med J (Engl). 2018;131(12):1506–1508. doi:10.4103/0366-6999.233947.
5 Scher RL, Oostingh PE, Levine PA, Cantrell RW, Feldman PS. Role of fine needle aspiration in the diagnosis of lesions of the oral cavity, oropharynx, and nasopharynx. Cancer. 1988;62(12):2602–2606. doi:10.1002/1097-0142(19881215)62:123.0.co;2-9.
6 Kato H, Kanematsu M, Kawaguchi S, Watanabe H, Mizuta K, Aoki M. Evaluation of imaging findings differentiating extranodal non-Hodgkin’s lymphoma from squamous cell carcinoma in naso- and oropharynx. Clin Imaging. 2013;37(4):657–663. doi:10.1016/j.clinimag.2012.11.007.
7 Buch K, Fujita A, Li B, Kawashima Y, Qureshi MM, Sakai O. Using Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinomas on CT. AJNR Am J Neuroradiol. 2015;36(7):1343–1348. doi:10.3174/ajnr.A4285.
8 Schieda N, Thornhill RE, Al-Subhi M, et al. Diagnosis of Sarcomatoid Renal Cell Carcinoma With CT: Evaluation by Qualitative Imaging Features and Texture Analysis. AJR Am J Roentgenol. 2015;204(5):1013– 1023. doi:10.2214/AJR.14.13279.
9 Kuno H, Qureshi MM, Chapman MN, et al. CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy. AJNR Am J Neuroradiol. 2017;38(12):2334–2340. doi:10.3174/ajnr.A5407.
10 Kirienko M, Cozzi L, Antunovic L, et al. Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery. Eur J Nucl Med Mol Imaging. 2018;45(2):207–217. doi:10.1007/s00259-017-3837-7.
11 Nioche C, Orlhac F, Boughdad S, et al. LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity. Cancer Res. 2018;78(16):4786–4789. doi:10.1158/0008-5472.CAN-18-0125.
12 Krstajic D, Buturovic LJ, Leahy DE, Thomas S. Cross-validation pitfalls when selecting and assessing regression and classification models. J Cheminform. 2014;6(1):10. doi:10.1186/1758-2946-6-10.
13 Feng Z, Rong P, Cao P, et al. Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma. Eur Radiol. 2018;28(4):1625–1633. doi:10.1007/s00330-017-5118-z.
14 Mukaka MM. Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Med J. 2012;24(3):69–71.
15 Cho KS, Kang DW, Kim HJ, Lee JK, Roh HJ. Differential diagnosis of primary nasopharyngeal lymphoma and nasopharyngeal carcinoma focusing on CT, MRI, and PET/CT. Otolaryngol Head Neck Surg. 2012;146(4):574–578. doi:10.1177/0194599811434712.
16 Kato H, Kanematsu M, Watanabe H, Kawaguchi S, Mizuta K, Aoki M. Differentiation of extranodal non-Hodgkins lymphoma from squamous cell carcinoma of the maxillary sinus: a multimodality imaging approach. Springerplus. 2015;4:228. doi:10.1186/s40064-015-0974-y.
17 Davnall F, Yip CS, Ljungqvist G, et al. Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging. 2012;3(6):573–589. doi:10.1007/s13244-012-0196-6.
18 Karahaliou A, Vassiou K, Arikidis NS, Skiadopoulos S, Kanavou T, Costaridou L. Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis. Br J Radiol. 2010;83(988):296–309. doi:10.1259/bjr/50743919.
19 Hyun SH, Kim HS, Choi SH, et al. Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma. Eur J Nucl Med Mol Imaging. 2016;43(8):1461–1468. doi:10.1007/s00259-016-3316-6.
20 Bayanati H, E Thornhill R, Souza CA, et al. Quantitative CT texture and shape analysis: can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?. Eur Radiol. 2015;25(2):480–487. doi:10.1007/s00330-014-3420-6.
21 Toma P, Granata C, Rossi A, Garaventa A. Multimodality imaging of Hodgkin disease and non-Hodgkin lymphomas in children. Radiographics. 2007;27(5):1335–1354. doi:10.1148/rg.275065157.
22 Schaefer NG, Hany TF, Taverna C, et al. Non-Hodgkin lymphoma and Hodgkin disease: coregistered FDG PET and CT at staging and restaging–do we need contrast-enhanced CT? Radiology. 2004;232(3):823–829. doi:10.1148/radiol.2323030985.
23 Raanani P, Shasha Y, Perry C, et al. Is CT scan still necessary for staging in Hodgkin and non-Hodgkin lymphoma patients in the PET/CT era? Ann Oncol. 2006;17(1):117–122. doi:10.1093/annonc/mdj024.
24 Shrimpton PC, Hillier MC, Lewis MA, Dunn M. National survey of doses from CT in the UK: 2003. Br J Radiol. 2006;79(948):968–980. doi:10.1259/bjr/93277434.
25 Bodelle B, Beeres M, Scheithauer S, et al. Automated Tube Potential Selection as a Method of Dose Reduction for CT of the Neck: First Clinical Results. AJR Am J Roentgenol. 2015;204(5):1049–1054. doi:10.2214/AJR.14.12975.
26 Buch K, Li B, Qureshi MM, Kuno H, Anderson SW, Sakai O. Quantitative Assessment of Variation in CT Parameters on Texture Features: Pilot Study Using a Nonanatomic Phantom. AJNR Am J Neuroradiol. 2017;38(5):981–985. doi:10.3174/ajnr.A5139.
27 Chen YK, Su CT, Chi KH, Cheng RH, Wang SC, Hsu CH. Utility of 18F-FDG PET/CT uptake patterns in Waldeyer’s ring for differentiating benign from malignant lesions in lateral pharyngeal recess of nasopharynx. J Nucl Med. 2007;48(1):8–14.
28 Lee N, Yoo I, Park SY, Yoon H, Lee Y, Oh JK. Significance of Incidental Nasopharyngeal Uptake on (18) F-FDG PET/CT: Patterns of Benign/Physiologic Uptake and Differentiation from Malignancy. Nucl Med Mol Imaging. 2015;49(1):11–18. doi:10.1007/s13139-014-0299-8.