开发和验证临床,CT,基因组分类器和BAL评分系统,用于诊断异常性肺纤维化
Michelle Li Wei Kam1,2, Elysia L H Tjong3, Sachin Chaudhary4
1Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore, Singapore.
The European respiratory journal
|January 17, 2025
概括
结合成像,基因组分类器 (GC) 和支气管支气管洗 (BAL) 分析的新临床评分准确估计了具有不确定的高分辨率计算机断层扫描 (HRCT) 模式的患者的异形性肺纤维化 (IPF) 概率. 这有助于在HRCT尚未确定时诊断IPF.
科学领域:
- 肺部病理学 肺部病理学
- 诊断医学 诊断医学
- 基因组分析 基因组分析
背景情况:
- 异形性肺纤维化 (IPF) 诊断可能具有挑战性,非确定的高分辨率计算机断层扫描 (HRCT) 常见的间歇性肺炎 (UIP) 模式.
- 基因组分类器 (GC) 和支气管洗 (BAL) 细胞计数与IPF诊断的临床和成像数据相结合的实用性是不确定的.
研究的目的:
- 评估一种新型临床评分的诊断准确性,该评分包括GC和BAL分析,用于IPF在不确定HRCTUIP模式的患者中.
- 评估这个得分对诊断确定性和治疗决策的影响.
主要方法:
- 对成年患有纤维化间歇性肺病 (fILD) 和未确定的HRCT UIP模式,接受BAL和GC的成年患者的回顾性审查.
- 开发和验证使用fILD特征,GC和BAL结果的多变量临床评分.
- 使用接收器运行特征 (ROC) 曲线评估得分的预测性能.
主要成果:
- 最终的临床-HRCT-BAL-GC得分显示出高准确度,导出队列的曲线下面积 (AUC) 为0.90,验证队列的0.91.
- 显著比例的患者 (31-56%) 在支气管镜检查后接受了IPF诊断,导致61%的病例发生治疗变化.
- 关键预测因素包括年龄,性别,HRCT可能的UIP,暴露,结缔组织疾病迹象,裂,GC结果和BAL淋巴细胞/巨细胞计数.
结论:
- 开发的临床-HRCT-BAL-GC得分准确地估计了在没有定义的HRCT UIP模式的患者中测试后IPF的概率.
- 这种综合方法可以提高诊断的信心,并在具有挑战性的IPF病例中指导管理.
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