Park Jung Won, Kim Dong Wook, Kim Donghyun, Baek Jin Wook, Lee Yoo Jin, Baek Hye Jin
Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea.
Department of Radiology, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon, Korea.
Ultrasonography. 2017 Oct;36(4):349-354. doi: 10.14366/usg.17020. Epub 2017 Apr 13.
This study aimed to assess the diagnostic efficacy of Korean Thyroid Imaging Reporting and Data System (K-TIRADS) features for distinguishing follicular thyroid adenoma (FTA) from follicular thyroid carcinoma (FTC).
From January 2013 to July 2016, 46 follicular neoplasms in 45 patients who underwent preoperative thyroid ultrasonography (US) and thyroid surgery were included. The US features of each thyroid nodule were retrospectively evaluated by a single radiologist using a picture archiving and communication system. The diagnostic indices of K-TIRADS for follicular neoplasms were calculated according to whether K-TIRADS category 4 lesions were excluded or classified as benign or malignant.
Of the 46 follicular neoplasms (mean size, 3.1±1.6 cm), 37 were FTAs (mean size, 3.1±1.7 cm) and nine were FTCs (mean size, 3.0±1.5 cm). A statistically significant difference was found between FTAs and FTCs regarding the margin (P=0.035), while no significant differences were observed in the composition, echogenicity, shape, orientation, calcification, or vascularity of the lesions (P<0.05). The FTAs belonged to K-TIRADS categories 3 (n=22) and 4 (n=15), while the FTCs belonged to K-TIRADS categories 3 (n=4), 4 (n=4), and 5 (n=1). However, there was no statistically significant difference in the distribution of K-TIRADS categories between FTAs and FTCs (P=0.184).
K-TIRADS features were not helpful for distinguishing FTA from FTC, although follicular neoplasms showed a high prevalence of K-TIRADS categories 3 and 4.
本研究旨在评估韩国甲状腺影像报告和数据系统（K-TIRADS）特征在鉴别滤泡性腺瘤（FTA）与滤泡性癌（FTC）方面的诊断效能。
纳入2013年1月至2016年7月期间45例接受术前甲状腺超声（US）检查及甲状腺手术的患者的46个滤泡性肿瘤。由一名放射科医生使用图像存档与通信系统对每个甲状腺结节的超声特征进行回顾性评估。根据K-TIRADS 4类病变是否被排除或归类为良性或恶性来计算K-TIRADS对滤泡性肿瘤的诊断指标。
46个滤泡性肿瘤（平均大小3.1±1.6 cm）中，37个为FTA（平均大小3.1±1.7 cm），9个为FTC（平均大小3.0±1.5 cm）。FTA与FTC在边界方面存在统计学显著差异（P = 0.035），而在病变的成分、回声、形状、方位、钙化或血管方面未观察到显著差异（P < 0.05）。FTA属于K-TIRADS 3类（n = 22）和4类（n = 15），FTC属于K-TIRADS 3类（n = 4）、4类（n = 4）和5类（n = 1）。然而，FTA与FTC之间K-TIRADS类别的分布无统计学显著差异（P = 0.184）。
尽管滤泡性肿瘤中K-TIRADS 3类和4类的患病率较高，但K-TIRADS特征在鉴别FTA与FTC方面并无帮助。
