Summary

Eligibility
for people ages 18 years and up (full criteria)
Location
at UCLA
Dates
study started
completion around
Principal Investigator
by Samuel Weigt, MD (ucla)Jonathan Goldin, MD (ucla)

Description

Summary

This study is a prospective observational study for subjects with idiopathic pulmonary fibrosis (IPF) or non-IPF interstitial lung diseases (ILD).

The purpose of this study is to compare whether imaging patterns from high-resolution computed tomography (HRCT) at baseline can predict worsening. Single Time point Prediction (STP) is a score derived from an artificial intelligenc/ machine learning (AI/ML) using the radiomic features from a HRCT scan that quantifies the imaging patterns of short-term predictive worsening.

Official Title

Imaging Signature of Progressive Pulmonary Fibrosis in Idiopathic Pulmonary Fibrosis and Non-IPF Interstitial Lung Diseases

Details

Keywords

Pulmonary Fibrosis, imaging outcome, Single Timepoint Prediction, AI/machine learning, progressive ILD, Fibrosis

Eligibility

Location

  • UCLA accepting new patients
    Los Angeles California 90024 United States

Lead Scientists at University of California Health

Details

Status
accepting new patients
Start Date
Completion Date
(estimated)
Sponsor
University of California, Los Angeles
ID
NCT06162884
Study Type
Observational
Participants
Expecting 200 study participants
Last Updated