Actively Recruiting

Age: 18Years +
All Genders
NCT05599321

Piloting a Virtual Navigation (VN) System for Bronchoscopic Lung Nodule Sampling

Led by Penn State University · Updated on 2024-10-15

166

Participants Needed

1

Research Sites

119 weeks

Total Duration

On this page

Sponsors

P

Penn State University

Lead Sponsor

M

Milton S. Hershey Medical Center

Collaborating Sponsor

AI-Summary

What this Trial Is About

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.

CONDITIONS

Official Title

Piloting a Virtual Navigation (VN) System for Bronchoscopic Lung Nodule Sampling

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients aged 18 years and older
  • Planned clinical bronchoscopy to evaluate abnormal lung tissue and/or central chest lymph nodes
  • Clinical CT scan performed at Hershey Medical Center that meets technical specifications and is available on the Radiology research server
  • Optional: CT/PET images available on the Hershey Medical Center clinical image storage system that meet technical specifications
Not Eligible

You will not qualify if you...

  • Inability to give consent
  • CT scan does not meet technical specifications

AI-Screening

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Trial Site Locations

Total: 1 location

1

Penn State Milton S. Hershey Medical Center

Hershey, Pennsylvania, United States, 17033

Actively Recruiting

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Research Team

R

Rebecca Bascom, MD

CONTACT

W

William E Higgins, PhD

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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