NCT07712952Completed
Validation of AI-Based Detection of Idiopathic Pulmonary Fibrosis in Serial Chest Radiographs: A Retrospective Longitudinal Study
Retrospective Evaluation of AI-Based Early Detection of Reticular Opacity in Longitudinal Chest Radiograph Sequences in Patients With Idiopathic Pulmonary Fibrosis
Source: ClinicalTrials.gov · Last updated 20 Jul 2026
Brief summary (registry, in English)
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic lung disease of unknown cause with a median survival of only 3-5 years after diagnosis. Early detection and timely initiation of antifibrotic therapy may improve outcomes, but diagnosis is frequently delayed. Chest radiography (CXR) is widely accessible and cost-effective but has limited sensitivity for early interstitial opacity (IO), so radiologists may miss or delay documentation of relevant findings. This retrospective, single-center, observational cohort study evaluates whether an artificial-intelligence algorithm (VUNO Med-Chest X-ray) can detect interstitial opacity earlier than radiologists in the historical chest radiograph series of patients who were diagnosed with IPF. The cohort was identified via a April 2025 registry screening of patients carrying an IPF diagnosis at Chung-Ang University Hospital. For each patient, the date of the first AI-detected IO (using a pre-specified score cutoff) is compared with the date of the first radiologist-reported mention of interstitial/reticular opacity, across all chest radiographs obtained before the IPF diagnosis date, within a 15-year retrospective imaging window anchored to the April 2025 screening date (January 2010-April 2025). The study also explores patient characteristics that modify this lead-time difference and whether longitudinal AI IO-score trajectories are associated with mortality.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 175 (actual)
- First submitted
- 2 Jul 2026
- Start date
- 30 Apr 2025
- Primary completion date
- 30 Apr 2025
- Lead sponsor
- Chung-Ang University Hospital
- Diseases
- Idiopathic pulmonary fibrosis
- NCT number
- NCT07712952
What you commit to
- Study type: Observational
- Participants enrolled: 175
- From 30 Apr 2025 to the primary completion date, 30 Apr 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other
- Only non-frontal chest radiograph views available (e.g., lateral view only)
- One or fewer analyzable chest radiographs
- Missing initial diagnosis date
- No radiology report data available for comparison
Who the study is looking for
- IPF diagnosis on record at Chung-Ang University Hospital as of the April 30, 2025 registry screening, based on imaging findings, pathology results, and clinical information as determined by a pulmonology specialist
- Age greater than or equal to 19 years at IPF diagnosis
- Confirmed diagnosis of IPF (by clinician or multidisciplinary discussion, including CT and/or biopsy)
- Two or more frontal (PA or AP) chest radiographs obtained before the diagnosis date
- DICOM images available and analyzable by VUNO Med-Chest X-ray
- Date of initial IPF diagnosis available
Age in the registry: 19 years to - · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Chung ang University Hospital Coordinator of this site? Confirm its status | Seoul | South Korea | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.