预测 克罗恩病 活动 使用 计算机断层扫描 基于肠道扫描的放射学和血清标记器
Peipei Wang1, Yu Liu2, Yuanjun Wang1
1School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Yangpu District, 200093, Shanghai, China (P.W., Y.W.).
这项研究开发了一个放射学模型,使用计算机断层扫描 (CTE) 和血清标记器来准确地分层克罗恩氏病.
科学领域:
- 放射学和医学成像学 医学成像学
- 胃肠病学 胃肠病学
- 人工智能在医学中的应用
背景情况:
- 准确的克罗恩病 (CD) 活动评估对于个性化治疗至关重要.
- 计算机断层扫描 (CTE) 肠道学 (CTE) 放射学和血清标记器为非侵入性疾病评估提供了潜力.
- 现有的方法在精确分层疾病活动方面可能存在局限性.
研究的目的:
- 开发和验证基于放射学的模型,用于分层克罗恩病的活动.
- 将CTE放射学特征与血清标记器集成,以提高诊断准确度.
- 预测疾病进展,并为CD患者个性化治疗方案.
主要方法:
- 对233名CD患者进行了回顾性研究,通过CD的简单内镜评分 (SEC-CD) 分类.
- 从CTE静脉图像中提取的放射学特征;使用T测试和LASSO回归进行特征选择.
- 随机森林模型开发集成放射学和血清标记;性能通过AUC和SHAP值进行评估.
主要成果:
- 14个放射性特征和6个血清标志物被选择用于CD活动预测.
- 合并模型在三类分层中实现了0.931 (微) 和0.928 (宏) 的AUC.
- 纳米图模型包含放射性和血清评分,显示平均AUC为0.940.
结论:
- 一个集成的放射学和血清标记模型准确地分层克罗恩病的活动.
- 该模型显示了与SEC-CD的增强一致性,有助于精确的疾病分类.
- 这种方法有可能帮助临床医生准确诊断和治疗规划.
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