Wang Liang-Kai, Tang Jia-Jia, Niu Wen-Quan, Jia Xin-Ying, Xi Xue-Hua, Ma Jiao-Jiao, Li Hui-Lin, Sun Zhe, Liu Xin-Yi, Zhang Bo
Institute of Clinical Medical Sciences,China-Japan Friendship Hospital,Beijing 100029,China.
Department of Ultrasound,China-Japan Friendship Hospital,Beijing 100029,China.
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2023 Jun;45(3):366-373. doi: 10.3881/j.issn.1000-503X.15417.
Objective To investigate the influencing factors and establish a model predicting the performance of needle visualization in fine-needle aspiration (FNA) of thyroid nodules. Methods This study prospectively included 175 patients who underwent FNA of thyroid nodules in the Department of Ultrasound in China-Japan Friendship Hospital and compared the display of the needle tips in the examination of 199 thyroid nodules before and after the application of needle visualization.We recorded the location,the positional relationship with thyroid capsule,ultrasonic characteristics,and the distribution of the soft tissue strip structure at the puncture site of the nodules with unclear needle tips display before using needle visualization.Furthermore,according to the thyroid imaging reporting and data system proposed by the American College of Radiology,we graded the risk of the nodules.Lasso-Logistic regression was employed to screen out the factors influencing the performance of needle visualization and establish a nomogram for prediction. Results The needle tips were not clearly displayed in the examination of 135 (67.8%) and 53 (26.6%) nodules before and after the application of needle visualization,respectively,which showed a significant difference (<0.001).Based on the positional relationship between the nodule and capsule,anteroposterior/transverse diameter (A/T) ratio,blood supply,and the distribution of subcutaneous strip structure at the puncture site,a nomogram was established to predict the probability of unclear display of the needle tips after application of needle visualization.The C-index of the prediction model was 0.75 (95%=0.67-0.84) and the area under the receiver operating characteristic curve was 0.72.The calibration curve confirmed the appreciable reliability of the prediction model,with the C-index of 0.70 in internal validation. Conclusions Needle visualization can improve the display of the needle tip in ultrasound-guided FNA of thyroid nodules.The nomogram established based on ultrasound features such as the positional relationship between the nodule and capsule,A/T ratio,blood supply,and the distribution of subcutaneous strip structure at the puncture site can predict whether needle visualization is suitable for the examination of nodules.
目的 探讨甲状腺结节细针穿刺抽吸活检(FNA)中针可视化效果的影响因素并建立预测模型。方法 本研究前瞻性纳入了175例在中国-日本友好医院超声科接受甲状腺结节FNA的患者,比较了针可视化应用前后199个甲状腺结节检查中针尖的显示情况。在使用针可视化之前,我们记录了针尖显示不清的结节的位置、与甲状腺被膜的位置关系、超声特征以及穿刺部位软组织条带结构的分布情况。此外,根据美国放射学会提出的甲状腺影像报告和数据系统,对结节的风险进行分级。采用套索逻辑回归筛选影响针可视化效果的因素并建立预测列线图。结果 针可视化应用前和应用后,分别有135个(67.8%)和53个(26.6%)结节的针尖在检查中显示不清,差异有统计学意义(<0.001)。基于结节与被膜的位置关系、前后径/横径(A/T)比值、血供以及穿刺部位皮下条带结构的分布,建立了一个预测列线图,以预测针可视化应用后针尖显示不清的概率。预测模型的C指数为0.75(95% = 0.67 - 0.84),受试者操作特征曲线下面积为0.72。校准曲线证实了预测模型具有较高的可靠性,内部验证的C指数为0.70。结论 针可视化可改善甲状腺结节超声引导FNA中针尖的显示。基于结节与被膜的位置关系、A/T比值、血供以及穿刺部位皮下条带结构分布等超声特征建立的列线图可预测针可视化是否适用于结节检查。