This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
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)
A Multicenter Study in Bronchoscopy Combining Stimulated Raman Histology With Artificial Intelligence for Rapid Lung Cancer Detection
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Invenio Imaging Inc.
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.