NCT04430491已完成不适用
Multi-center Validation of a Radiomics Based Model for the Diagnosis of Idiopathic Pulmonary Fibrosis
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 300
- 试验地点
- 1
- 主要终点
- IPF classifier
研究概览
简要总结
To investigate the ability of machine learning models based on radiomic features extracted from thin-section CT images to differentiate IPF patients from non-IPF interstitial lung diseases.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •UIP with final diagnosis in biopsy
- •ILDs with final diagnosis in biopsy
排除标准
- •patients with no biopsy confirmation
结局指标
主要结局
IPF classifier
时间窗: Up to 30 weeks
Model based on Radiomic that can differentiate IPF from ILDs.
次要结局
未报告次要终点
研究者
研究点 (1)
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