安徽医科大学学报2024,Vol.59Issue(3) :533-537.DOI:10.19405/j.cnki.issn1000-1492.2024.03.025

基于C-TIRADS联合SWE和临床独立危险因素建立的列线图在甲状腺4类结节中的诊断价值

The diagnostic value of nomogram model established on the basis of C-TIRADS combined with SWE and clinically independent risk factors in category IV thyroid nodules

欧晓东 彭梅 郭云云
安徽医科大学学报2024,Vol.59Issue(3) :533-537.DOI:10.19405/j.cnki.issn1000-1492.2024.03.025

基于C-TIRADS联合SWE和临床独立危险因素建立的列线图在甲状腺4类结节中的诊断价值

The diagnostic value of nomogram model established on the basis of C-TIRADS combined with SWE and clinically independent risk factors in category IV thyroid nodules

欧晓东 1彭梅 2郭云云2
扫码查看

作者信息

  • 1. 安徽医科大学第二附属医院超声科,合肥 230601;合肥市第一人民医院超声科,合肥 230061
  • 2. 安徽医科大学第二附属医院超声科,合肥 230601
  • 折叠

摘要

目的 探讨基于中国甲状腺影像报告和数据系统(C-TIRADS)联合剪切波弹性成像(SWE)及临床独立危险因素建立的列线图模型对甲状腺 4 类结节的诊断效能.方法 分析256 例 4 类甲状腺结节患者(共 269 枚结节)的二维超声图像和SWE图像;以病理结果为金标准,计算单独应用C-TIRADS 和SWE诊断的灵敏度、特异度、准确性;绘制受试者工作特征(ROC)曲线,得到ROC曲线下面积(AUC);通过单因素分析和多因素Logistic回归分析筛选出甲状腺结节的独立危险因素,建立风险模型并绘制列线图模型;校准曲线分析用于评估列线图模型预测结节良恶性结果的准确性;绘制列线图ROC,并根据AUC比较C-TIRADS、SWE以及基于独立危险因素建立的列线图模型对甲状腺 4 类结节的诊断效能.结果 单独应用C-TIRADS诊断良性和恶性甲状腺结节的灵敏度为0.921,特异度为0.724,准确性为0.844,AUC为0.822[95%置信区间(95%CI):0.775~0.870];单独应用SWE诊断的灵敏度为 0.701,特异度为 0.981,准确性为0.814,AUC为0.833(95%CI:0.795~0.872);多因素Logis-tic回归分析结果显示C-TIRADS分类、平均弹性模量值(E-mean)、年龄和纵横比是恶性甲状腺结节的独立危险因素;基于以上四项因素建立的列线图模型的敏感性为 0.957,特异性为0.943,准确性为0.959,AUC为0.963(95%CI:0.943~0.984),诊断效能优于单独应用C-TIRADS、SWE.结论 基于C-TIRADS联合SWE和临床独立危险因素构建的列线图模型能够提高诊断甲状腺4 类结节的诊断效能,具有较好的临床应用价值.

Abstract

Objective To investigate the diagnostic efficacy of the nomogram model based on Chinese thyroid ima-ging reporting and data system(C-TIRADS)combined with shear wave elastography(SWE)and clinically inde-pendent risk factors for category IV thyroid nodules.Methods 2D-ultrasound images and SWE images of 256 pa-tients(269 nodules)with category IV thyroid nodules were analyzed.The sensitivity,specificity,and accuracy of the diagnosis by C-TIRADS and SWE were calculated using pathological findings as the gold standard.Receiver op-erating characteristic(ROC)curves were plotted,and the area under the curve(AUC)was obtained.Independent risk factors for thyroid nodules were screened by univariate and multifactorial logistic regression analyses,a risk model was developed and a nomogram model was plotted,and a calibration curve analysis was used to assess the accuracy of prediction.ROC of the nomogram model was plotted,and the diagnostic efficacy of C-TIRADS,SWE and nomogram model based on independent risk factors was compared according to the AUC in category IV thyroid nodules.Results The sensitivity,specificity,and accuracy of C-TIRADS for differentiating malignant and benign nodules was 0.921,0.724 and 0.844 respectively,the AUC was equal to 0.822 with a 95%confidence interval(95%CI)of 0.775-0.870.The sensitivity,specificity and accuracy of SWE were 0.701,0.981,0.814 respec-tively,and the AUC was 0.833(95%CI:0.795-0.872).Multifactorial logistic regression analysis suggested that C-TIRADS classification,mean value of elasticity(E-mean)age and aspect ratio were independent risk factors for identifying benign and malignant thyroid nodules.The sensitivity,specificity and accuracy of the nomogram model established based on the above four factors were 0.957,0.943 and 0.959,the AUC was 0.963(95%CI:0.943-0.984),which showed a diagnostic efficacy superior to that of C-TIRADS or SWE alone.Conclusion The nomogram model,constructed based on C-TIRADS,SWE and clinically independent risk factors,can improve the efficacy in diagnosing category IV thyroid nodules,with a better clinical application value.

关键词

C-TIRADS/剪切波弹性成像/甲状腺结节/列线图/甲状腺乳头状癌/超声

Key words

C-TIRADS/shear wave elastography/thyroid nodules/nomogram/papillary thyroid cancer/ultrasound

引用本文复制引用

基金项目

安徽省重点研发计划(201904a07020068)

出版年

2024
安徽医科大学学报
安徽医科大学

安徽医科大学学报

CSTPCD北大核心
影响因子:1.095
ISSN:1000-1492
参考文献量15
段落导航相关论文