影像科学与光化学2026，Vol.44Issue(4)：118-124,7.DOI:10.7517/issn.1674-0475.2026.04.17
甲状腺结节恶性风险分析及列线图的构建与验证
Analysis of the Malignant Risk of Thyroid Nodules and the Construction and Validation of the Nomogram
罗季平 1官愫 1张方 1刘思以 1许明芳1
作者信息
- 1. 宜宾市第六人民医院功能科,四川 644600
- 折叠
摘要
Abstract
Objective:To analyze the independent risk factors for thyroid malignancy,develop a nomogram prediction model for the malignant risk of thyroid nodules,and validate its clinical application value.Methods:A retrospective analysis was conducted on the baseline data,micro flow imaging(MFI)findings,and pathological data of 120 patients(with a total of 121 nodules)with thyroid nodules treated at the Sixth People's Hospital of Yibin from January 2021 to December 2023.Independent risk factors for thyroid malignancy were identified through univariate and multivariate Logistic regression analyses,and a nomogram prediction model was constructed based on these factors.Internal validation was performed using the Bootstrap method to assess the predictive performance of the model.Results:MFI type Ⅳ,microcalcification,and C-TIRADS score of ≥2 were identified as independent risk factors for thyroid malignancy.The nomogram model constructed based on these factors demonstrated significantly superior diagnostic performance(AUC=0.897)compared to the individual application of each risk factor.The corrected C-index for internal validation of the model was 0.894,and both the calibration curve and decision curve analysis indicated good predictive ability of the model.Conclusion:The nomogram model constructed based on MFI type,microcalcification,and C-TIRADS score can effectively predict the benign or malignant nature of thyroid nodules,demonstrating high clinical application value.关键词
甲状腺结节/良恶性/超微血流成像/C-TIRADS/列线图Key words
thyroid nodule/benign or malignant/microflow imaging/C-TIRADS/nomogram分类
医药卫生引用本文复制引用
罗季平,官愫,张方,刘思以,许明芳..甲状腺结节恶性风险分析及列线图的构建与验证[J].影像科学与光化学,2026,44(4):118-124,7.
