分子影像学杂志2025，Vol.48Issue(2)：159-166,8.DOI:10.12122/j.issn.1674-4500.2025.02.05
基于超声影像学特征的定量模型可预测甲状腺结节性质
Quantitative model based on ultrasound imaging features can predict the nature of thyroid nodules
摘要
Abstract
Objective To investigate the predictors for differential diagnosis of benign and malignant thyroid nodules and construct quantitative model based on ultrasound imaging features to provide more reference for clinical diagnosis and treatment plan formulation.Methods A total of 375 patients for 453 nodules with C-TIRADS 3-5 grade thyroid nodules who received surgical treatment in our hospital from January 2022 to December 2023 were retrospectively included and were divided into benign group and malignant group according to the characteristics of nodules identified by histomatological examination.Univariate and multivariate analysis of predictive factors for differential diagnosis of benign and malignant thyroid nodules.A quantitative prediction model based on ultrasound imaging features was constructed and prediction efficiency was analyzed.Results Among the 453 thyroid nodules,257 nodules were diagnosed as malignant and 196 were benign based on pathological examination,with a malignant detection rate of 56.73%.The results of univariate analysis showed that the maximum diameter of the lesion,the texture of the lesion echo,the type of lesion echo,the structure of the lesion,the location of the lesion,the local strong echo of the lesion,the edge of the lesion,the thickness of the lesion halo,the echo characteristics behind the lesion,and the lesion elasticity score may all be related to the differential diagnosis of benign and malignant thyroid nodules(P<0.05).The results of multivariate analysis confirmed that lesion echo,local strong echo,lesion edge,posterior echo characteristics,lesion elasticity score and lesion acoustic halo thickness were all independent predictive factors for the differential diagnosis of benign and malignant thyroid nodules(P<0.05).The area under the ROC curve is 0.741,0.639,0.747,0.544,0.605,0.796,the predictive model constructed by combining the above factors had an area under the ROC curve of 0.952,a sensitivity of 91.05%,a specificity of 88.78%,and a Yoden index of 79.83%.Conclusion Various ultrasound imaging indexes,including lesion echoes,localized strong echoes of the lesion,lesion margins,posterior echogenic features of the lesion,elasticity score of the lesion,and thickness of the acoustic halo of the lesion,can guide the differential diagnosis of benign and malignant thyroid nodules,and the quantitative model constructed by using the above six imaging features has a higher reliability and accuracy in the prediction of the nature of thyroid nodules,which can provide assistance in clinical prevention and treatment of thyroid cancer.关键词
甲状腺结节/鉴别诊断/定量/超声/模型Key words
thyroid nodules/differential diagnosis/quantify/ultrasound/model引用本文复制引用
张高龙,黄炫彰,赵文平,秦越婷,黄健源..基于超声影像学特征的定量模型可预测甲状腺结节性质[J].分子影像学杂志,2025,48(2):159-166,8.基金项目
广西自然科学基金(2015jjAA40013) （2015jjAA40013）
