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AI scans could predict lung trouble in scleroderma patients
NCT ID NCT06472362
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.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 1,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Nov 2024
- Expected to finish
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Mar 2026
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Secondary/tertiary care patients with SSc
- Ages
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18 to 99 years
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * diagnosed with SSc * ≥18 years old * HRCT between 01/01/1990 and 31/12/2019 Exclusion Criteria: * Patients who do not have SSc * \<18 years old * lack of availability of HRCT imaging data
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
7 sites in 4 countries. The list below names each one and where it is.
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The official record
The full official record for this study. This one lists no contact details, but it is the first place any would appear.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Bichat-Claude Bernard hospital
Paris, France
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Hanover Medical School
Hanover, Germany
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Leeds Hospital/University of Leeds
Leeds, United Kingdom
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Marche Polytechnic University
Ancona, Italy
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Royal Brompton Hospital
London, United Kingdom
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Sassari University
Sassari, Italy
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Siena University Hospital
Siena, Italy
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can rituximab infusions keep scleroderma lungs stable?
- Inhaled xenon gas could reveal hidden lung vessel disease without catheter
- Can a single drug tame multiple autoimmune diseases?
- Immune clues in the blood may foretell heart trouble
- Blood particles may reveal hidden clues to scleroderma complications
- Could a simple injection dissolve painful calcium lumps in rare diseases?