基于垂体MRI的可解释放射学模型来预测矮身儿童的生长激素缺乏症:一个多中心研究
Fukun Shi1, Xianqing Ren2, Qian Xu1
1Department of MRI, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, China (F.S., Q.X., J.S., Y.Y., J.S., L.Z.); First Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou, China (F.S., Q.X., J.S., Y.Y., J.S.).
Academic radiology
|October 28, 2025
概括
使用垂体MRI的可解释放射学模型准确地预测矮身儿童的生长激素缺乏症 (GHD). 这种非侵入性方法为传统的生长激素刺激测试提供了可行的替代方案.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 儿科内分泌学 儿科内分泌学
背景情况:
- 生长激素缺乏 (GHD) 是儿童矮身的一个重要原因.
- 准确的GHD诊断通常依赖于侵入性生长激素 (GH) 刺激测试.
- 需要使用非侵入性方法来帮助GHD诊断.
研究的目的:
- 开发和验证一种可解释的放射学模型,使用垂体磁共振成像 (MRI) 来预测矮身儿童的GHD.
- 评估开发的放射学模型的诊断性能和可解释性.
主要方法:
- 一项回顾性多中心研究包括202名儿童 (内部队列) 和138名儿童 (外部验证队列).
- 放射性特征从垂体MRI扫描中提取,并使用SelectKBest和LASSO回归进行选择.
- 构建了六个机器学习模型,并使用SHAP值评估了支持向量机 (SVM) 模型的诊断性能和可解释性.
主要成果:
- 基于SVM的放射学模型表现出高的诊断性能,在外部验证队列中,接收器运行特征曲线 (AUC) 下的面积为0.885.
- 放射学模型在预测GHD方面显著优于临床模型 (p<0.001).
- SHAP分析确定了三个关键的放射学特征,这些特征显著地区分了GHD和特异性矮身 (ISS) 群体.
结论:
- 一个可解释的放射学驱动的SVM模型有效地预测了矮身儿童的GH水平.
- 这种非侵入性放射学方法为GH刺激测试提供了一个临床上可行的替代方案.
- 该模型增强了儿科内分泌学中的诊断能力.
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