LungVision AI-Augmented Fluoroscopic Navigation for Intraoperative Pulmonary Nodule Localization
NCT07682012 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 14
Last updated 2026-07-02
Summary
This prospective single-center pilot study evaluates the clinical feasibility, localization accuracy, and safety of the LungVision system-an AI-augmented fluoroscopic navigation platform-for real-time intraoperative localization of small pulmonary nodules during video-assisted thoracoscopic surgery (VATS). All enrolled patients underwent dual localization: preoperative marking via CT-guided dye injection or virtual bronchoscopic navigation (Broncus Archimedes), followed by intraoperative localization using the LungVision system. The primary outcome was localization success rate, defined as the proportion of patients achieving fluoroscopic tool-in-lesion confirmation. Secondary outcomes included complete resection rate, navigation time, total operative time, and perioperative complication rate.
Conditions
- Lung Neoplasms
- Pulmonary Nodule, Solitary
- Carcinoma, Non-Small-Cell Lung
Interventions
- DEVICE
-
LungVision System
The LungVision system is an AI-augmented fluoroscopic bronchoscopic navigation platform developed by Body Vision Medical (Israel). The system integrates preoperative CT imaging with real-time intraoperative C-arm fluoroscopy using machine learning-based image fusion to provide continuous tool-tip tracking and lesion overlay. The system guides the bronchoscopic navigational tool to the target pulmonary nodule without additional radiation beyond standard fluoroscopy. Upon tool-in-lesion confirmation, indocyanine green (ICG) dye is injected transbronchially for surgical marking prior to thoracoscopic resection.
- DEVICE
-
Preoperative Dual Localization
As part of the dual-localization protocol, all patients received preoperative localization via one of the following methods prior to LungVision intraoperative navigation: (1) CT-guided percutaneous dye injection using methylene blue, or (2) virtual bronchoscopic navigation using the Broncus Archimedes Software System. The choice of preoperative localization method was determined by the operating surgeon based on nodule characteristics and clinical judgment.
Sponsors & Collaborators
-
Tri-Service General Hospital (TSGH)
lead OTHER
Study Design
- Allocation
- NA
- Purpose
- TREATMENT
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 65 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2024-01-01
- Primary Completion
- 2024-12-31
- Completion
- 2024-12-31
Countries
- Taiwan
Study Locations
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