Observational Study for Predicting Pulmonary Fibrosis Worsening
This study is looking at whether a special score, called Single Time Point Prediction (STP), can help doctors predict earlier if your pulmonary fibrosis (a lung disease that causes scarring) will get worse. The STP score uses information from your HRCT scan (a detailed X-ray of your lungs) and artificial intelligence (AI) to look at patterns in your lungs. The study will compare people with different STP scores to see if those with higher scores are more likely to have their disease progress. This study is for people aged 40 or older who have been diagnosed with Idiopathic Pulmonary Fibrosis (IPF) within the last five years, have no history of lung transplant, and meet certain lung function requirements. The main goal is to see if the STP score can help identify people who might benefit from anti-fibrotic treatments sooner. This is an observational study, meaning it will not change your current medical care.
- Study design
- This is an observational study planning to enroll 200 participants. It will group participants into two arms based on their baseline HRCT scan and STP score.
- What's involved
- The study will collect clinical information such as pulmonary function tests (PFT), symptom scores, 6-minute walk tests (6MWT), and radiologic information from HRCT scans.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed from the date of randomization until the date of first documented progression or death, for up to 2 years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Single Time Point Prediction as Earlier Diagnosis of Progressive Pulmonary Fibrosis
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Samuel Weigt, MD · PRINCIPAL_INVESTIGATOR · UCLA Division of Pulmonary, Critical Care, and Hospitals
- Jonathan Goldin, MD · PRINCIPAL_INVESTIGATOR · Radiological Sciences at the University of California, Los Angeles
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Progression Free Survival (PFS) between the two arms by Single Time point Prediction (STP) scoreFrom date of randomization until the date of first documented progression or date of death from any cause, whichever came first, assessed up to 2 years
PFS of IPF and non-IPF ILD will be compared in patients with STP \>=30% or \<30%. A higher STP score, ranging from 0% to 100%, indicates a worse outcome. Progression is uniformly defined in both IPF and non-IPF ILD population as the reduction of FVC \>=10% or the reduction of DLCO \>=15% or death due to the disease.