References 573 & 310. Smith RB, Robinson RA, Hoffman HT, Graham MM. Preoperative FDG-PET imaging to assess the malignant potential of follicular neoplasms of the thyroid. Otolaryngology - head and neck surgery. 2008;138:101-106. https://doi. org/10.1016/j.otohns.2007.09.008. 311. Valderrabano P, Montilla-Soler J, Mifsud M, Leon M, Centeno B, Khazai L, et al. Hypermetabolism on (18) F-Fluorodeoxyglucose Positron Emission Tomography Scan Does Not Influence the Interpretation of Thyroid Cytopathology, and Nodules with a SUVmax <2.5 Are Not at Increased Risk for Malignancy. Thyroid. 2016;26:13001307. https://doi.org/10.1089/thy.2015.0654. 312. Kim JM, Ryu JS, Kim TY, Kim WB, Kwon GY, Gong G, et al. 18F-fluorodeoxyglucose positron emission tomography does not predict malignancy in thyroid nodules cytologically diagnosed as follicular neoplasm. The Journal of clinical endocrinology and metabolism. 2007;92:1630-1634. https://doi.org/10.1210/jc.2006-2311. 313. Boellaard R, Delgado-Bolton R, Oyen WJ, Giammarile F, Tatsch K, Eschner W, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42:328-354. https://doi.org/10.1007/ s00259-014-2961-x. 314. Vriens D, Visser EP, de Geus-Oei LF, Oyen WJ. Methodological considerations in quantification of oncological FDG PET studies. Eur J Nucl Med Mol Imaging. 2010;37:1408-1425. https://doi.org/10.1007/s00259-009-1306-7. 315. Pathak KA, Klonisch T, Nason RW, Leslie WD. FDG-PET characteristics of Hurthle cell and follicular adenomas. Annals of nuclear medicine. 2016;30:506-509. https://doi.org/10.1007/s12149-016-1087-6. 316. Boellaard R, O’Doherty MJ, Weber WA, Mottaghy FM, Lonsdale MN, Stroobants SG, et al. FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0. Eur J Nucl Med Mol Imaging. 2010;37:181-200. https://doi. org/10.1007/s00259-009-1297-4. 317. Treglia G, Taralli S, Salsano M, Muoio B, Sadeghi R, Giovanella L. Prevalence and malignancy risk of focal colorectal incidental uptake detected by (18)F-FDG-PET or PET/CT: a meta-analysis. Radiology and oncology. 2014;48:99-104. https://doi.org/10.2478/raon-2013-0035. 318. Nayan S, Ramakrishna J, Gupta MK. The Proportion of Malignancy in Incidental Thyroid Lesions on 18-FDG PET Study: A Systematic Review and Meta-analysis. Otolaryngology - head and neck surgery. 2014;151:190-200. https://doi. org/10.1177/0194599814530861. 319. Nakahira M, Saito N, Murata S, Sugasawa M, Shimamura Y, Morita K, et al. Quantitative diffusion-weighted magnetic resonance imaging as a powerful adjunct to fine needle aspiration cytology for assessment of thyroid nodules. American journal of otolaryngology. 2012;33:408-416. https://doi.org/10.1016/j.amjoto.2011.10.013. 320. Brown AM, Nagala S, McLean MA, Lu Y, Scoffings D, Apte A, et al. Multi-institutional validation of a novel textural analysis tool for preoperative stratification of suspected thyroid tumors on diffusion-weighted MRI. Magnetic resonance in medicine. 2015. https://doi.org/10.1002/mrm.25743. 321. Razek AA, Sadek AG, Kombar OR, Elmahdy TE, Nada N. Role of apparent diffusion coefficient values in differentiation between malignant and benign solitary thyroid nodules. AJNR American journal of neuroradiology. 2008;29:563568. https://doi.org/10.3174/ajnr.A0849. 322. Chen X, Li WL, Zhang YL, Wu Q, Guo YM, Bai ZL. Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions. BMC cancer. 2010;10:693. https://doi.org/10.1186/1471-2407-10-693. 323. Wang J, Takashima S, Takayama F, Kawakami S, Saito A, Matsushita T, et al. Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging. Radiology. 2001;220:621-630. https://doi.org/10.1148/radiol.2202010063. 324. Bozgeyik Z, Coskun S, Dagli AF, Ozkan Y, Sahpaz F, Ogur E. Diffusion-weighted MR imaging of thyroid nodules. Neuroradiology. 2009;51:193-198. https://doi.org/10.1007/s00234-008-0494-3. 325. Dilli A, Ayaz UY, Cakir E, Cakal E, Gultekin SS, Hekimoglu B. The efficacy of apparent diffusion coefficient value calculation in differentiation between malignant and benign thyroid nodules. Clin Imaging. 2012;36:316-322. https://doi.org/10.1016/j.clinimag.2011.10.006. 326. Erdem G, Erdem T, Muammer H, Mutlu DY, Firat AK, Sahin I, et al. Diffusion-weighted images differentiate benign from malignant thyroid nodules. Journal of magnetic resonance imaging : JMRI. 2010;31:94-100. https://doi.org/10.1002/jmri.22000. 327. Mutlu H, Sivrioglu AK, Sonmez G, Velioglu M, Sildiroglu HO, Basekim CC, et al. Role of apparent diffusion coefficient values and diffusion-weighted magnetic resonance imaging in differentiation between benign and malignant thyroid nodules. Clin Imaging. 2012;36:1-7. https://doi.org/10.1016/j.clinimag.2011.04.001. 328. Schueller-Weidekamm C, Kaserer K, Schueller G, Scheuba C, Ringl H, Weber M, et al. Can quantitative diffusionweighted MR imaging differentiate benign and malignant cold thyroid nodules? Initial results in 25 patients. AJNR American journal of neuroradiology. 2009;30:417-422. https://doi.org/10.3174/ajnr.A1338. 329. Chen L, Xu J, Bao J, Huang X, Hu X, Xia Y, et al. Diffusion-weighted MRI in differentiating malignant from benign thyroid nodules: a meta-analysis. BMJ Open. 2016;6:e008413. https://doi.org/10.1136/bmjopen-2015-008413. 330. Friedrich-Rust M, Meyer G, Dauth N, Berner C, Bogdanou D, Herrmann E, et al. Interobserver agreement of Thyroid Imaging Reporting and Data System (TIRADS) and strain elastography for the assessment of thyroid nodules. PloS one. 2013;8:e77927. https://doi.org/10.1371/journal.pone.0077927.
RkJQdWJsaXNoZXIy MTk4NDMw