A Multicenter Study in Bronchoscopy Combining Stimulated Raman Histology With Artificial Intelligence for Rapid Lung Cancer Detection - The ON-SITE Study
NCT07045103 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 900
Last updated 2025-07-01
Summary
The ON-SITE study represents a prospective, observational study focused on the training/tuning and pivotal validation of deep learning algorithms that detect cell/tissue morphology suspicious for cancer in biopsies of peripheral lung nodules/masses and mediastinal/hilar lymph nodes imaged with the NIO Laser Imaging System in the procedure room without requiring traditional sample processing.
The study includes four arms based on biopsy location and biopsy modality/tool:
1. Transbronchial forceps biopsy of peripheral lung nodules/masses (peripheral-TBBx)
2. Transbronchial needle aspiration biopsy of peripheral lung nodules/masses (peripheral TBNA)
3. Transbronchial needle aspiration biopsy of mediastinal/hilar lymph nodes (EBUS-TBNA)
4. Transbronchial cryo biopsy of peripheral lung nodules/masses (peripheral-CBx)
Conditions
- Lung Biopsy
Sponsors & Collaborators
-
Memorial Sloan Kettering Cancer Center
collaborator OTHER -
University of North Carolina, Chapel Hill
collaborator OTHER -
The University of Texas MD Anderson Cancer Center
collaborator UNKNOWN - collaborator OTHER
-
University of California, San Diego
collaborator OTHER -
Montefiore Medical Center-Moses-Weiler
collaborator UNKNOWN -
Corewell Health
collaborator UNKNOWN -
Invenio Imaging Inc.
lead INDUSTRY
Eligibility
- Min Age
- 22 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-12-21
- Primary Completion
- 2026-04-30
- Completion
- 2026-05-31
Countries
- United States
Study Locations
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