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 overall goal is to evaluate the role of a Virtual Navigation (VN) system (the Virtual Navigator) in the bronchoscopic evaluation and tissue sampling of lung cancer and other chest lesions at the Penn State Hershey Medical Center (HMC). The Virtual Navigator is a software package that runs on a mobile Windows-based computer. The computer takes in up to four clinical image/video sources, ordered by the clinician for clinical purposes: 1) 3D CT (computed tomography) imaging scan; 2) 3D PET (positron emission tomography) imaging scan (optional); 3) Bronchoscopic video of the airway tree interior; 4) Ultrasound video of scanned anatomy outside the airways, as provided by an endobronchial ultrasound (EBUS) probe (optional). During a live guided procedure, the Virtual Navigator presents images that assist with navigating the bronchoscope to predesignated chest lesions. Lung cancer patients that present a suspicious peripheral tumor on their chest CT scan are often prescribed to undergo a diagnosis-and-staging bronchoscopy, whereby the bronchoscopist examines both the suspect tumor and any identified central-chest lymph nodes. For the clinical study, we consider bronchoscopy performance for two cohorts: 1) a cohort of consented patients who undergo image-guided bronchoscopy via the Virtual Navigator; and 2) a historical controls cohort consisting of patients who underwent bronchoscopy recently at our medical center (state-of-the-art bronchoscopy practice). The study's general hypothesis is that an image-guided bronchoscopy system (the Virtual Navigator) that integrates 3D imaging, bronchoscopy, and EBUS images enables more complete evaluation and sampling of chest lesions than current state-of-the-art clinical techniques. More specifically, for peripheral-tumor diagnosis, the sub-hypothesis is that the VN system increases diagnostic biopsy yield as compared to state-of-the-art bronchoscopy practice; for central-chest nodal staging, the sub-hypothesis is that the VN system enables the sampling of more lymph nodes than state-of-the-art bronchoscopy practice.
Piloting a Virtual Navigation (VN) System for Bronchoscopic Lung Nodule Sampling
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: Penn State University
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