PNEUMO-LIBS: Using tissue imaging and AI to explore causes of chronic lung diseases
Official title: Evaluation of the Clinical Utility of LIBS Multi-Element Imaging and the IFF Algorithm for the Etiological and Medico-Legal Management of Chronic Lung Diseases
Run by University Hospital, Grenoble · NCT07597187 · Data updated 2026-11-12
This study tests whether multi-element tissue imaging with LIBS, plus the AI tool IFF, can help doctors understand possible causes of chronic lung diseases in adults who have had a lung biopsy.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 70 (estimated) |
| Sponsor | University Hospital, Grenoble Academic / other |
| Locations | 3 sites (Grenoble and 2 other locations) |
| Status | Recruiting |
| Started | October 1, 2026 |
| Main results expected | June 1, 2027 |
| Study ends | July 1, 2027 |
| Registry record updated | September 11, 2026 |
| Trial ID | NCT07597187 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18 and older with a diagnosed or suspected chronic lung disease who have a stored lung biopsy and sufficient clinical data available.
✕Probably not a fit
Patients without meaningful exposure history or with degraded biopsy samples may not benefit from this imaging/AI analysis.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
PNEUMO-LIBS is a multicenter, non-interventional observational study that uses laser-induced breakdown spectroscopy (LIBS) to image elements in lung tissue and an artificial intelligence analysis tool called Interesting Features Finder (IFF) to help interpret the data. The goal is to see if this approach can clarify potential environmental or occupational contributors to chronic lung diseases such as interstitial lung diseases, sarcoidosis, and emphysema. Included participants are adults with a diagnosed or suspected chronic lung disease who already had a diagnostic biopsy collected as part of routine care. The study relies on existing biological samples (formalin-fixed paraffin-embedded tissue) and medical records to explore associations between tissue elements, exposure histories, and disease characteristics. No interventions are performed; data are analyzed to identify potential explanatory features that could guide future research and care.
Why it matters
Potential benefit: If successful, this approach could provide doctors with new clues about the causes of chronic lung diseases and potentially inform personalized management or prevention strategies.
How similar studies have gone: Prior work in tissue imaging and AI analysis shows promise, but application to LIBS-based multi-element imaging in chronic lung disease is exploratory and not yet proven.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult patient aged 18 years or older. * Diagnosis or documented clinical suspicion of chronic lung disease, including interstitial lung disease, pulmonary granulomatosis such as sarcoidosis, or pulmonary emphysema. * Availability of a lung tissue biopsy sample obtained during routine medical care and stored as a formalin-fixed paraffin-embedded sample. * Sufficient medical record information to document the clinical context, occupational or environmental exposure history, smoking status, imaging, pathology reports, and other relevant routine-care data. * No documented objection to the secondary use of health data and biological samples for this research. Exclusion Criteria: * Documented objection to participation in the study or to the secondary use of health data or biological samples for research. * Missing, unavailable, degraded, or technically unusable biopsy sample. * Insufficient medical record information to document the clinical context or exposure history. * Lung condition outside the scope of the study, such as isolated acute infection, isolated cardiac disease, or primary lung cancer. * Patient under legal protection when the applicable legal conditions for non-opposition cannot be fulfilled.
Where it's running
-
CHU Grenoble Alpes
Grenoble, France Recruiting -
Centre Hospitalier Régional Universitaire Nancy (CHRU)
Nancy, France Recruiting -
centre Hospitalier Universitaire Rouen (CHU)
Rouen, France Recruiting
Study contacts
- Principal investigator: Vincent BONNETERRE — CHU Grenoble Alpes
- Study coordinator: Benoit BUSSER
- Email: BBusser@chu-grenoble.fr
- Phone: +33476768939
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.