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临床试验/NCT05146934
NCT05146934已完成不适用

The Relationship Between Hormone Sensitivity and Imaging of Idiopathic Interstitial Pneumonia by Artificial Intelligence

Peking University Third Hospital1 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2019年12月30日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
150
试验地点
1
主要终点
clinical data and imaging feature ratios in both groups

研究概览

简要总结

Application of artificial intelligence deep learning algorithm to analyze the relationship between hormone sensitivity of idiopathic interstitial pneumonia and imaging features of high resolution CT.

详细描述

Methods: the medical records and chest high-resolution CT images of patients with idiopathic interstitial pneumonia admitted to the respiratory department of the Third Hospital of Peking University from June 1, 2012 to December 31, 2020 were retrospectively analyzed.Application of artificial intelligence deep learning neural convolution network method to create recognition technology of different imaging features.Including ground glass, mesh, honeycomb, nodule or consolidation, the model was established. IIP patients were divided into hormone sensitive group and hormone insensitive group according to whether the use of hormone was effective or not.Logistic regression analysis was used to analyze the correlation between statistically significant parameters and hormone sensitivity.Artificial intelligence was used to establish the correlation model between imaging features and clinical data and hormone sensitivity.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 90 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Clinical-pathological-radiology diagnosis of idiopathic interstitial pneumonia Hormone therapy was used; The follow-up data were complete, and the effect of hormone use could be judged.

排除标准

  • Lung infection disease; Heart failure; Connective tissue disease; IIP Without hormone therapy ; IIP but the follow-up data were incomplete, and the effect of hormone use could not be judged.

结局指标

主要结局

clinical data and imaging feature ratios in both groups

时间窗: 3-6 months after medication

clinical data including ages,gender,symptoms,signs,smoking history,complications,laboratory examination,lung function. Imaging feature including ground-glass opacity, reticulation, honeycomb and consolidation.

次要结局

  • the relationship between imaging feature ratios and hormone sensibility(3-6 months after medication)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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