AI scans could predict lung trouble in scleroderma patients

NCT ID NCT06472362

ENROLLING_BY_INVITATION Knowledge-focused Sponsor: Royal Brompton & Harefield NHS Foundation Trust Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study looks at whether artificial intelligence can analyze CT scans of the lungs to predict how systemic sclerosis (a rare autoimmune disease) will affect the lungs over time. Researchers will review past scans and health records of 1,000 patients to see if certain imaging features can forecast lung scarring, blood vessel problems, and survival. The goal is to find better ways to identify high-risk patients early.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could help doctors better predict which patients with systemic sclerosis will develop severe lung disease, enabling earlier and more personalized treatment.
What could go wrong: This is an observational study using historical data, so it cannot prove cause and effect. The results may not apply to all patients or lead to immediate changes in care.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

pulmonary systemic sclerosis systemic sclerosis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

SYSTEMIC SCLEROSIS

Contacts and locations

Locations

Bichat-Claude Bernard hospital

Paris, France
Hanover Medical School

Hanover, Germany
Leeds Hospital/University of Leeds

Leeds, United Kingdom
Marche Polytechnic University

Ancona, Italy
Royal Brompton Hospital

London, United Kingdom
Sassari University

Sassari, Italy
Siena University Hospital

Siena, Italy

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