NCT05146934

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

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 150 (actual)
• Sponsor: Peking University Third Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 90 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Idiopathic Interstitial Pneumonia

Interventions

Type	Name	Description
RADIATION	high resolution CT	Ground glass，honeycomb，reticulation, consolidation

Timeline

• Start date: 2019-12-30
• Primary completion: 2021-06-01
• Completion: 2021-06-30
• First posted: 2021-12-07
• Last updated: 2021-12-07

Locations

1 site across 1 country: China