Clinical

Leading pulmonology researchers from Stanford University School of Medicine and Cleveland Clinic present data demonstrating how advanced imaging modalities improve the outcomes of peripheral bronchoscopy through the detection and correction of navigational errors, CT-body divergence, and malpositioned biopsy instruments.

Dr. Roshen Mathew presents data at CHEST 2023 demonstrating the use of LungVision as a standalone system for navigation and real-time imaging to achieve an overall diagnostic yield of 83% with low radiation exposure compared to mobile or fixed cone-beam CT.

Royal Preston aims to improve the accuracy of peripheral lung cancer diagnoses using the state-of-the-art LungVision bronchoscopic navigation system.

Data Shows Clinical Proficency Achieved After an Average of 10 LungVision Procedures

Hear Drs. Sean Stoy and Michael Machuzak share how intraoperative imaging is indispensable for achieving high diagnostic yields with or without robotics and how Artificial Intelligence is making this real-time imaging readily accessible to bronchoscopists during lung cancer diagnosis.

A writeup from the University of Chicago Medical Center and Loma Linda University Medical Center highlighting the inherent problem of CT-to-body divergence (CTBD) in diagnostic bronchoscopy and the role advanced imaging plays in overcoming CTBD in robotic-assisted bronchoscopy.

In the "Tips from the Experts" sctions of the WABIP Newsletter Issue 11, Volume 1, Dr. Ravikumar and Kyle Hogarth from University of Chicago discuss combining AI-driven intraoperative CT imaging and augmented fluoroscopy with navigation platforms in order to improve diagnostic yield and accuracy.

At Chest 2022, Drs. Grady Hedstrom of the University of Chicago Medical Center presented data where Body Vision's AI-Driven, intraoperative imaging in combination with the Auris MONARCH robotic platform achieved a 91% diagnostic yield.

At AABIP 2022 in Nashville, Drs. D. Kyle Hogarth of University of Chicago Medical Center, Sonali Sethi from the Cleveland Clinic, and Joseph Whitlark from Crozer Health join Body Vision Medical for a lunch discussion on Maximizing Diagnostic Yield with AI-Driven, Intraoperative Imaging

This case study demonstrates the utility of Body Vision’s Intraoperative CABT imaging in identifying scenarios during navigational bronchoscopy wherein pulmonary nodules may have self-resolved, negating the need for patients to undergo unnecessary biopsy.

Here, Body Vision’s Intraoperative imaging enabled Dr. Nobari to recognize that the lesion was ~20mm proximal to where the Ion robot indicated, reposition the bronchoscope, biopsy, and definitively diagnose a 12 mm LUL lesion.

Hear from Dr. Kyle Hogarth and Dr. Matthew Nobari as they discuss the clinical value of real-time, intraoperative 3D imaging in overcoming lung nodule biopsy challenges such as CT-to-body divergence and lack of nodule visibility during robotic-assisted bronchoscopy.

In the "Technology Corner" of the WABIP Newsletter Volume 10, Issue 01, Dr. Joseph Cicenia from Cleveland Clinic discusses the impact of real-time imaging in peripheral bronchoscopy and how Body Vision’s intraoperative CT imaging is enabling physicians to achieve 90-95% localization rates and a diagnostic yield approaching 84%.

In this SAB roundtable, board members discuss the latest in Navigation Bronchoscopy. Hear their viewpoints on the different advanced bronchoscopy technologies in the market and how real-time visualization systems like LungVision are changing the game.

LungVision improves diagnostic yield with robotic bronchoscopes by providing fluoroscopic navigation augmented with real-time, intraoperative tomographic imaging of lesion location and, most critically, visual confirmation of tool-in-lesion prior to and during biopsy.

In this webinar hosted by Society for Advanced Bronchoscopy, hear Drs. George Cheng and Joseph Cicenia discuss how Body Vision advanced imaging technology is addressing challenges of navigational bronchoscopy at a low operational cost.

LungVision 2nd generation system demonstrated compatibility with cryoprobe and increase of diagnostic accuracy to 88.2%.

A multi-center study of 55 patients performed with the 1st generation of LungVision, exhibit 93% localization success and 75.4% diagnostic yield at the day of procedure.

Comprehensive study of 53 patients with 96.1% localization success and diagnostic accuracy of 88.2%

LungVision Provides CBCT-like Imaging Capability Without Needing CBCT

Real-time visualization of the airways and location of the nodule during transbronchial navigation and biopsy

AI-driven LungVision System is opening a new avenue in the management of solitary pulmonary nodules

High localization success of the LungVision tool to pulmonary lesions verified with REBUS or CBCT (Video Recording)

C-arm Based Tomography (CABT) provides CBCT-like imaging

Artificial Intelligence improves performance of navigational bronchoscopy

LungVision enables accurate marker placement for SBRT

Novel Augmented Fluoroscopic Imaging Platform accuracy assessment during Navigation Bronchoscopy in simultaneous comparison with Cone Beam CT and Radial EBUS.

LungVision integrates with multiple modalities to increase diagnostic yield (Video Recording)

LungVision™ is a safe and accurate real-time PPNs localization modality improving diagnostic yield (Video Recording)

LungVision has the technology to compensate for CT to body divergence during bronchoscopy

LungVision enchances localization and diagnostic yield

Patients and physicians are exposed to a low level of radiation during navigation bronchoscopy with the LungVision system

Transbronchial cryobiopsy and LunVision™ transbronchial guidance system can be utilized together to improve both the precision and the quality of peripheral nodule biopsy (Video Recording)

LungVision™ system is safe, feasible and accurate for real time diagnosis (Video Recording)

Body Vision system demonstrates a high localization accuracy of 90% (Video Recording)

In a study of 85 patients, the localization success was 85% with the LungVision Platform

With a procedure yield of 75%, LungVision is a promising new technology for advancement in localization of peripheral lung nodules and early stage cancer diagnosis

Verified by Cone Beam CT, LungVision demonstrated 96% localization success and 92% diagnostic yield for pulmonary nodules (Video Recording)

LungVision provides real-time bronchoscopic guidance for accessing peripheral nodules, showing good technical feasibility and may prove an alternative to ENB