Seo Hyobin, Na Dong Gyu, Kim Ji-Hoon, Kim Kyung Won, Yoon Ji Won
Department of Radiology, Gangnam Center, Seoul National University Hospital Healthcare System, 39F Gangnam Finance Center, 737 Yeoksam dong, Gangnam Gu, Seoul, Korea, 135-984.
Eur Radiol. 2015 Jul;25(7):2153-62. doi: 10.1007/s00330-015-3621-7. Epub 2015 Feb 14.
The purpose of this study was to stratify the malignancy risk of US features, with an emphasis on nodule echogenicity.
A total of 1,058 nodules of 824 consecutive patients (236 malignant and 822 benign) were included in this study. Malignancy risk of each nodule was analyzed according to US features, with an emphasis on nodule echogenecity, and was stratified into 4-tier categories.
In multivariate analysis, isoechogenicity, indistinct margin, non-solid internal content, and parallel orientation were predictive of benign nodules (P < 0.002), while hypoechogenicity, marked hypoechogenicity, spiculated/microlobulated margin, solid content, nonparallel orientation (taller than wide), microcalcification, and macrocalcification were predictive of malignancy (P ≤ 0.037). Although the presence of US features associated with malignancy was significantly predictive of malignancy in hypoechoic and markedly hypoechoic nodules (P ≤ 0.004), it was not associated with malignancy in isoechoic or hyperechoic nodules. Thyroid nodules could be stratified into four categories according to the malignancy risk: benign (risk 0%), probably benign (risk ≤ 5%), indeterminate (risk > 5 and < 50%), and suspicion of malignancy (risk > 50%).
The US-based four-tier categorization system will be useful for predicting the risk of malignancy and decisions regarding FNA for thyroid nodules.
• No US feature was predictive of malignancy in isoechoic nodules. • Isoechoic nodules without calcification can be included in the probably benign category. • We suggest a four-tier categorization stratified primarily by nodule echogenecity. • The four-tier categorization of thyroid nodules will be useful for FNA decisions.
本研究旨在对超声特征的恶性风险进行分层,重点关注结节的回声性。
本研究纳入了824例连续患者的1058个结节(236个恶性,822个良性)。根据超声特征分析每个结节的恶性风险,重点关注结节回声性,并将其分为4个等级类别。
在多变量分析中,等回声、边界不清、内部非实性成分和平行方向提示为良性结节(P < 0.002),而低回声、显著低回声、毛刺状/微分叶状边界、实性成分、非平行方向(高大于宽)、微钙化和粗大钙化提示为恶性(P ≤ 0.037)。虽然与恶性相关的超声特征在低回声和显著低回声结节中显著提示为恶性(P ≤ 0.004),但在等回声或高回声结节中与恶性无关。甲状腺结节可根据恶性风险分为四类:良性(风险0%)、可能良性(风险≤5%)、不确定(风险>5%且<50%)和怀疑恶性(风险>50%)。
基于超声的四级分类系统将有助于预测甲状腺结节的恶性风险以及决定是否进行细针穿刺活检(FNA)。
• 等回声结节中没有超声特征提示为恶性。• 无钙化的等回声结节可归入可能良性类别。• 我们建议主要根据结节回声性进行四级分类。• 甲状腺结节的四级分类将有助于FNA决策。