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

Completed

• Conditions: Idiopathic Interstitial Pneumonia
• Interventions: Radiation: high resolution CT

• Registration Number: NCT05146934
• Lead Sponsor: Peking University Third Hospital

Brief Summary

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.

Detailed Description

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.

Study Timeline

• Study Start: 2019-12-30
• Status Verified: 2021-06
• Primary Completion: 2021-06-01
• Study Completion: 2021-06-30
• Study First Submitted: 2021-06-30
• Study First Submitted QC: 2021-11-23
• Last Update Submitted: 2021-11-23
• Study First Posted: 2021-12-07
• Last Update Posted: 2021-12-07

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 150

Inclusion Criteria

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.

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Exclusion Criteria

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.

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Hormone insensitivity group	high resolution CT	Prednisone, 0.5mg/kgqd, 3-6months
Hormone sensitive group	high resolution CT	Prednisone, 0.5mg/kgqd, 3-6months

Primary Outcome Measures

Name	Time	Method
clinical data and imaging feature ratios in both groups	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.

Secondary Outcome Measures

Name	Time	Method
the relationship between imaging feature ratios and hormone sensibility	3-6 months after medication	Logistic regression analyzing the relationship between imaging feature ratios and hormone sensibility.

Trial Locations

Locations (1)

Peking University Third Hospital; 🇨🇳 Beijing, Beijing, China