Clinical Utility of LIBS Multi-Element Imaging and the IFF Algorithm in Chronic Lung Diseases
NCT07597187 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 70
Last updated 2026-05-19
Summary
PNEUMO-LIBS is a multicenter, non-interventional observational study designed to evaluate whether multi-element tissue imaging by Laser-Induced Breakdown Spectroscopy (LIBS), combined with an artificial intelligence-based analysis tool called Interesting Features Finder (IFF), may help physicians better understand the possible causes of chronic lung diseases.
The study focuses on adult patients with chronic lung diseases for which a lung biopsy has already been performed as part of routine medical care. These diseases include diffuse interstitial lung diseases, pulmonary granulomatoses such as sarcoidosis, and emphysema, especially when an environmental or occupational exposure is suspected but not clearly demonstrated.
Some chronic lung diseases may be influenced by inhaled mineral or metallic particles, such as silica, aluminum, titanium, or other metals. However, these exposures are often difficult to document at the individual patient level. Standard clinical, radiological, and pathological investigations do not usually provide direct information on the presence and distribution of such elements within lung tissue.
LIBS is an imaging technique that can detect and map chemical elements directly in tissue samples, including archived formalin-fixed paraffin-embedded biopsy blocks. In this study, lung biopsy samples will be analyzed with LIBS to search for elemental signatures that may be compatible with occupational or environmental exposures. The IFF algorithm will then be used to help interpret the LIBS data and identify rare or unexpected elemental signals.
The study does not require any additional biopsy, blood test, imaging examination, treatment, or hospital visit for participants. It uses tissue samples and medical data already collected during routine care. The results of LIBS and IFF analyses will be presented to the treating physician or investigator, who will complete standardized online questionnaires at three time points: before receiving the LIBS results, after receiving the LIBS report, and after receiving the IFF-assisted interpretation.
The main objective is to assess the perceived clinical utility of LIBS imaging for physicians, particularly regarding etiological understanding, possible occupational disease recognition, and prevention-oriented reasoning. Secondary objectives include assessing the added value of the IFF algorithm and evaluating the feasibility of a centralized multicenter workflow for sample transfer, LIBS analysis, IFF processing, result reporting, and questionnaire completion.
The study aims to include approximately 70 patients across several French hospital centers. Its results may support the development of future diagnostic, occupational health, and environmental medicine approaches, without modifying the medical care of participants during the study.
Conditions
- Interstitial Lung Diseases (ILD)
- Pulmonary Emphysema
- Chronic Lung Diseases
- Occupational Lung Diseases
- Environmental Exposure
- Occupational Exposure
Sponsors & Collaborators
-
University Hospital, Grenoble
lead OTHER
Principal Investigators
-
Vincent BONNETERRE · CHU Grenoble Alpes
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-07-01
- Primary Completion
- 2027-06-01
- Completion
- 2027-07-01
More Related Trials
-
To Evaluate the Use of Radiomics to Classify Between Idiopathic Pulmonary Fibrosis and Interstitial Lung Disease
NCT04430491 ·Status: COMPLETED
-
Feasibility Study of the Microwave Ablation System for Lung Tissue Ablation
NCT06158971 ·Status: RECRUITING ·Phase: NA
-
LungLB in Subjects Presenting With Indeterminate Pulmonary Nodules
NCT05171491 ·Status: ACTIVE_NOT_RECRUITING
-
Diagnostic Yeld of Ultrathin Bronchoscopy in Peripheral Pulmonary Lesions
NCT05526573 ·Status: RECRUITING
-
Validation of Alveolar Probe-based Confocal Laser Endomicroscopy Descriptors in Diffuse Parenchymal Lung Diseases
NCT02961335 ·Status: TERMINATED ·Phase: NA
-
Safety and Accuracy of Alveoscopy in Interstitial Lung Diseases
NCT00377338 ·Status: COMPLETED
-
Image and Model Based Analysis of Lung Disease
NCT03764163 ·Status: COMPLETED ·Phase: EARLY_PHASE1
-
An In Silico Trial to Evaluate Prospectively the Performance of a Radiomics Algorithm for UIP Compared to Medical Doctors
NCT05784207 ·Status: COMPLETED
-
Feasibility of Thin Cp-EBUS Scope BF-UC290F for the Diagnosis of PPLs
NCT05512533 ·Status: COMPLETED ·Phase: NA
-
Thoracoscopic Laser Speckle Contrast Imaging for Segment Resections
NCT05545085 ·Status: UNKNOWN
-
Segmentation of Structural Abnormalities in Chronic Lung Diseases
NCT04760548 ·Status: UNKNOWN
-
A Study to Test Different Imaging Techniques in Patients With Different Types of Interstitial Lung Disease
NCT05492994 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Thin and Ultrathin Bronchoscopy With Transbronchial Needle Aspiration and Radial Probe Endobronchial Ultrasound for Peripheral Pulmonary Lesions
NCT04331587 ·Status: COMPLETED
-
Lung Nodule Characterization by Artificial Intelligence Techniques
NCT03843164 ·Status: UNKNOWN
-
Study on The Value of Endobronchial Ultrasound Elastography in The Diagnosis of Thoracic Lesions
NCT02755506 ·Status: UNKNOWN ·Phase: NA
-
ENB for the Diagnosis of PPNs:a Real World Study
NCT03716284 ·Status: COMPLETED
-
Confocal Laser Endomicroscopy Guided Cryobiopsy in the Diagnosis of Interstitial Lung Disease
NCT06741826 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Ultra-Low Dose CT Denoising for Lung Nodule Detection
NCT03159377 ·Status: COMPLETED
-
Novel Thin Bronchoscope Versus Ultrathin Bronchoscope for the Diagnosis of Peripheral Pulmonary Nodules
NCT07135297 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
USE OF ARTIFICIAL INTELLIGENCE IN A PULMONARY FIBROSIS CLINIC
NCT06852794 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Diagnostic Value of UTB and TB for PPL
NCT04571476 ·Status: COMPLETED ·Phase: NA
-
The Effectiveness and Safety of Electromagnetic Navigation Real-time Guided Percutaneous Lung Biopsy
NCT05799014 ·Status: UNKNOWN ·Phase: NA
-
A Multicenter Study in Bronchoscopy Combining Stimulated Raman Histology With Artificial Intelligence for Rapid Lung Cancer Detection - The ON-SITE Study
NCT07045103 ·Status: RECRUITING
-
Registry Trial to Determine pCLE Image Interpretation Criteria and Preliminary Accuracy in the Lung
NCT01793246 ·Status: COMPLETED
-
Bronchoscopy Assisted by Electromagnetic Navigation (EMN) in the Diagnosis of Small Pulmonary Nodules
NCT01779388 ·Status: COMPLETED ·Phase: NA