alexa Computed Tomography Features of Follicular Thyroid Adenoma and Carcinoma | OMICS International | Abstract
ISSN: 2167-7948

Journal of Thyroid Disorders & Therapy
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Research Article

Computed Tomography Features of Follicular Thyroid Adenoma and Carcinoma

Dong Hyun Kim1, Dong Wook Kim1*, Jin Wook Baek1, Yoo Jin Lee1, Young Jun Cho1, Hye Jung Choo1, Sun Joo Lee1, Young Mi Park1, Hye Jin Baek2 and Soo Jin Jung3

1Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, South Korea

2Department of Radiology, Gyeongsang National University School of Medicine and Gyeongsang National University, South Korea

3Department of Pathology, Busan Paik Hospital, Inje University College of Medicine, South Korea

Corresponding Author:
Kim DW
Department of Radiology, Busan Paik Hospital
Inje University College of Medicine,75
Bokji-ro, Busanjin-gu, Busan, South Korea
Tel: 82518906549
Fax: 82-51-896-1085
E-mail: [email protected]; [email protected]

Received Date: May 23, 2016; Accepted Date: July 14, 2016; Published Date: July 20, 2016

Citation: Kim DH, Kim DW, Baek JW, Lee YJ, Cho YJ, et al. (2016) Computed Tomography Features of Follicular Thyroid Adenoma and Carcinoma. Thyroid Disorders Ther 5:205. doi:10.4172/2167-7948.1000205

Copyright: © 2016 Kim DH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: No previous study has investigated the computed tomography (CT) characteristics of follicular thyroid adenoma (FTA) and follicular thyroid carcinoma (FTC). This study aimed to compare the CT features of FTA and FTC. Methods: Eighty-seven consecutive patients with FTA or FTC that underwent preoperative neck CT from January 2006 to December 2013 were included. In each case, single radiologist retrospectively examined the corresponding neck CT under blinded conditions for the histopathological results. The CT features of FTA and FTC were evaluated, as well as the specific CT features for differentiating FTC from FTA. Results: After matching the CT and histopathological results, 55 FTAs and 25 FTCs in 80 patients were analyzed. No statistically significant differences were detected in patient age, gender, nodular size, or location between FTA and FTC patients. The most common CT features in both FTA and FTC included low attenuation, intraglandular configuration, smooth margin, round shape, absence of calcifications, and inhomogeneous enhancement. In particular, the prevalence of decreased, iso-, and increased enhancement was similar in both FTA and FTC. The prevalence of homogeneous attenuation in FTC was higher, whereas the prevalence of inhomogeneous attenuation in FTA was higher. The logistic regression analysis revealed no significant differences between FTA and FTC in any CT features, except for the pattern of attenuation (p = 0.002). Conclusion: No specific CT features of FTA and FTC were identified, and CT may be unhelpful for distinguishing FTC from FTA.

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