一个基于中国甲状腺成像报告和数据系统的模型,用于预测贝塞斯达III/IV甲状腺结节
An Wei1,2, Yu-Long Tang3, Shi-Chu Tang4
1Department of Ultrasound, Hunan Provincial People's Hospital/The First Affiliated Hospital of Hunan Normal University, Changsha, Hunan, China.
Frontiers in endocrinology
|March 18, 2025
概括
一个新的模型结合了中国甲状腺成像报告和数据系统 (C-TIRADS) 和超声波特征,可以准确预测贝塞斯达III/IV甲状腺结节. 这提高了诊断的准确性,并减少了重复细针吸收 (FNA).
科学领域:
- 放射学 放射学是一门学科.
- 内分泌学 在内分泌学.
- 在瘤学瘤学.
背景情况:
- 在精细针吸收 (FNA) 之前准确预测贝塞斯达III/IV甲状腺结节对于诊断和治疗规划至关重要.
- 像中国甲状腺成像报告和数据系统 (C-TIRADS) 这样的现有方法在预测恶性瘤风险方面存在局限性.
研究的目的:
- 开发和评估使用C-TIRADS,临床和超声波特征的贝塞斯达III/IV甲状腺结节的预测模型.
- 为了比较开发的模型与单独C-TIRADS在预测贝塞斯达III/IV甲状腺结节的性能.
主要方法:
- 一项回顾性研究包括810名患者的855个甲状腺结节.
- 用C-TIRADS对结节进行了分类,并根据细胞学诊断将其分为贝塞斯达III/IV和非III/IV组.
- 后勤回归分析确定了独立的预测因素,并使用曲线下的面积 (AUC) 构建和验证了一个预测模型.
主要成果:
- 贝塞斯达III/IV结节的独立预测因素包括C-TIRADS类别,均的回声纹理,血流信号的存在和不变的后背回声.
- 与单独使用C-TIRADS相比,开发的预测模型显示AUC显著更高 (总体为0.746).
- 该模型的预测效果对于直径大于10mm的结节 (AUC 0.779) 尤其显著.
结论:
- 结合C-TIRADS和超声波特征的新型预测模型有效预测贝塞斯达III/IV甲状腺结节.
- 这种模型提供了更好的诊断性能,特别是对于较大的结节,有助于最佳的FNA策略选择.
- 该模型有可能提高第一次FNA的最终诊断率,并减少重复手术的需要.
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