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)
Study Type
OBSERVATIONAL
Enrollment
900
UC San Diego
San Diego, California, United States
RECRUITINGMayo Clinic Jacksonville
Jacksonville, Florida, United States
NOT_YET_RECRUITINGCorewell Health
Grand Rapids, Michigan, United States
RECRUITINGMemorial Sloan Kettering Cancer Center
New York, New York, United States
SUSPENDEDMontefiore Medical Center
The Bronx, New York, United States
RECRUITINGUNC Medical Center
Chapel Hill, North Carolina, United States
RECRUITINGMD Anderson Cancer Center
Houston, Texas, United States
ACTIVE_NOT_RECRUITINGPeripheral TBBx and CBx Co-primary Endpoints
Detection of lung cancer in peripheral TBBx and CBx biopsies by NIO image analysis module with non-inferior performance compared to rapid on-site evaluation touch imprint cytology (ROSE-TIC)
Time frame: From enrollment to the End of the Procedure.
Peripheral Lung Transbronchial Fine Needle Aspiration Endpoint
Detection of lung cancer in peripheral lung transbronchial needle aspiration by NIO image analysis module with non-inferior performance compared to rapid on-site evaluation (ROSE).
Time frame: From enrollment to the End of the Procedure.
Lymph Node Endobronchial Ultrasound Transbronchial Fine Needle Aspiration Endpoint
Determine area-under-the-curve (AUC) of the receiver-operating-characteristic (ROC) of NIO image analysis module for detection of cancer at a lymph-node location.
Time frame: From enrollment to the End of the Procedure.
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