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LungVision AI-Augmented Fluoroscopic Navigation for Intraoperative Pulmonary Nodule Localization

27 juin 2026 mis à jour par: Hsiang Teng, Tri-Service General Hospital (TSGH)

Clinical Feasibility, Localization Accuracy, and Safety of the LungVision System for Intraoperative Localization of Small Pulmonary Nodules During Thoracoscopic Surgery: A Prospective Single-Center Pilot Study

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.

Aperçu de l'étude

Statut

Complété

Les conditions

Intervention / Traitement

Description détaillée

Lung cancer is the leading cause of cancer-related mortality worldwide, and accurate intraoperative localization of small pulmonary nodules is critical for guiding thoracoscopic resection. Conventional localization methods, including CT-guided percutaneous dye injection and virtual bronchoscopic navigation, carry limitations such as radiation exposure, pneumothorax risk, and dependence on pre-procedural planning without real-time intraoperative feedback.

The LungVision system (Body Vision Medical, Israel) is an AI-augmented fluoroscopic bronchoscopic navigation platform that integrates preoperative CT imaging with real-time C-arm fluoroscopy via machine learning-based image fusion. The system provides continuous intraoperative tool-tip tracking and lesion overlay without additional radiation beyond standard fluoroscopy, enabling real-time navigational feedback during bronchoscopic procedures.

This prospective, single-center, single-arm pilot study was conducted at the Department of Thoracic Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. A total of 14 patients with small pulmonary nodules requiring preoperative localization prior to video-assisted thoracoscopic surgery (VATS) were enrolled between January and December 2024. Each patient underwent dual localization: preoperative marking via CT-guided percutaneous dye injection or virtual bronchoscopic navigation (Broncus Archimedes Software System), followed by intraoperative localization using the LungVision system with ICG dye injection under fluoroscopic guidance.

The primary outcome was localization success rate, defined as the proportion of patients achieving fluoroscopic tool-in-lesion confirmation using the LungVision system. Secondary outcomes included complete resection rate (confirmed by pathological examination), navigation time, total operative time, and perioperative complication rate assessed up to 30 days postoperatively. Thoracoscopic resection was performed based on the combined localization findings, and all resected specimens were submitted for histopathological analysis.

This study was approved by the Institutional Review Board of Tri-Service General Hospital (IRB No.: A202303004) and was conducted in accordance with the Declaration of Helsinki. Written informed consent was obtained from all participants prior to enrollment.

Type d'étude

Interventionnel

Inscription (Réel)

14

Phase

  • N'est pas applicable

Contacts et emplacements

Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.

Lieux d'étude

  • Taïwan
    • Taiwan
      • Taipei, Taiwan, Taïwan, 114202
        • Tri-Service General Hospital

Critères de participation

Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.

Critère d'éligibilité

Âges éligibles pour étudier

  • Adulte
  • Adulte plus âgé

Accepte les volontaires sains

Oui

La description

Inclusion Criteria:

  • Age 18-65 years
  • Scheduled to undergo thoracoscopic resection for solitary, subsolid, or ground-glass pulmonary nodules requiring localization
  • Lesion characteristics and CT imaging indicating need for preoperative localization, as determined by the attending surgeon
  • Able and willing to complete the study protocol
  • Able to provide written informed consent

Exclusion Criteria:

  • Age >65 years
  • Pregnancy
  • Bleeding tendency or current use of anticoagulants
  • Impaired consciousness or inability to communicate
  • Cognitive impairment precluding autonomous consent

Plan d'étude

Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.

Comment l'étude est-elle conçue ?

Détails de conception

  • Objectif principal: Traitement
  • Répartition: N / A
  • Modèle interventionnel: Affectation à un seul groupe
  • Masquage: Aucun (étiquette ouverte)

Armes et Interventions

Groupe de participants / Bras
Intervention / Traitement
Expérimental: LungVision AI-Augmented Fluoroscopic Navigation
Patients underwent intraoperative pulmonary nodule localization using the LungVision system (Body Vision Medical, Israel), an AI-augmented fluoroscopic bronchoscopic navigation platform that integrates preoperative CT imaging with real-time C-arm fluoroscopy via machine learning-based image fusion. Under bronchoscopic guidance, the navigational tool was advanced toward the target lesion, and tool-in-lesion confirmation was verified under fluoroscopic overlay. Upon successful localization, indocyanine green (ICG) dye was injected transbronchially to mark the target nodule. All patients additionally received preoperative localization via CT-guided percutaneous dye injection or virtual bronchoscopic navigation (Broncus Archimedes Software System) as part of the dual-localization protocol. Subsequent video-assisted thoracoscopic surgery (VATS) was performed based on the combined localization findings.
Dispositif: 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.
Dispositif: 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.

Que mesure l'étude ?

Principaux critères de jugement

Mesure des résultats
Description de la mesure
Délai
Localization Success Rate
Délai: Intraoperative
Proportion of patients in whom successful intraoperative pulmonary nodule localization was achieved using the LungVision system, defined as fluoroscopic tool-in-lesion confirmation verified by the operating surgeon based on real-time AI-augmented fluoroscopic overlay. Localization was considered successful when the navigational tool tip was confirmed to be positioned within or immediately adjacent to the target nodule under fluoroscopic guidance prior to dye injection.
Intraoperative

Collaborateurs et enquêteurs

C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.

Parrainer

Tri-Service General Hospital (TSGH)

Dates d'enregistrement des études

Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.

Dates principales de l'étude

Début de l'étude (Réel)

1 janvier 2024

Achèvement primaire (Réel)

31 décembre 2024

Achèvement de l'étude (Réel)

31 décembre 2024

Dates d'inscription aux études

Première soumission

27 juin 2026

Première soumission répondant aux critères de contrôle qualité

27 juin 2026

Première publication (Réel)

2 juillet 2026

Mises à jour des dossiers d'étude

Dernière mise à jour publiée (Réel)

2 juillet 2026

Dernière mise à jour soumise répondant aux critères de contrôle qualité

27 juin 2026

Dernière vérification

1 juin 2026

Plus d'information

Termes liés à cette étude

Mots clés

Termes MeSH pertinents supplémentaires

Autres numéros d'identification d'étude

  • TSGH-LV-2026

Plan pour les données individuelles des participants (IPD)

Prévoyez-vous de partager les données individuelles des participants (DPI) ?

NON

Description du régime IPD

Individual participant data (IPD) will not be shared publicly. This decision is based on the small sample size (n=14), potential re-identification risk of participants, and institutional data governance policies of Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Aggregated, de-identified summary data supporting the findings of this study are available from the corresponding author upon reasonable request.

Informations sur les médicaments et les dispositifs, documents d'étude

Étudie un produit pharmaceutique réglementé par la FDA américaine

Non

Étudie un produit d'appareil réglementé par la FDA américaine

Non

Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .

Essais cliniques sur Carcinome pulmonaire non à petites cellules

Essais cliniques sur LungVision System

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