Observational Not yet recruiting
NCT07234604 on ClinicalTrials.gov
Is 3D Modeling From Non-contrast CT Accurate for Minimally Invasive Lung Segmentectomies ?
- Sponsor: Hôpital d'Hautepierre
- Enrollment: 50 (Estimated)
- Study start: 2025-12-01 (Estimated)
- Primary completion: 2026-12-01 (Estimated)
- Study completion: 2026-12-01 (Estimated)
- Allocation: N/a
- InterventionModel: N/a
- Masking: None
- PrimaryPurpose: Other
Brief Summary
To assess the RELIABILITY in terms of accuracy of 3D-CT and 2D-CT reconstructions compared to intraoperative data regarding bronchovascular anatomy and tumor location. 3D CT reconstruction (CT scan without contrast injection) with Innersight3D® is equivalent to 2D CT (CT scan with contrast injection) for planning a minimally invasive lung segmentectomy.
Evaluate the impact of 3D reconstruction (from a CT scan without injection of contrast agent) on intraoperative and postoperative results
Conditions
- Lung Cancer
- Non-Small Cell Lung Cancer
Intervention / Treatment
- Diagnostic Test: Thoraco-abdomino-pelvic CT scan without and with contrast injection.
Primary Outcome Measures
-
RELIABILITY of 3D-CT and 2D-CT reconstructions regarding bronchovascular anatomy and tumor location - composite 1
(Immediately after surgery)
Accuracy between predicted bronchovascular anatomy by 3D CT and 2D CT reconstruction compared to intraoperative observations -
RELIABILITY of 3D-CT and 2D-CT reconstructions regarding bronchovascular anatomy and tumor location - composite 2
(Immediately after surgery)
Accuracy between predicted tumor location by 3D CT and 2D CT reconstruction compared to intraoperative observations
Countries
France
Locations and Investigators
-
Service Chirurgie Thoracique - CHU de Strasbourg - France, Strasbourg, France
- Pierre-Emmanuel FALCOZ, MD, PhD
- Chloé MOINET, Interne
- Pierre-Emmanuel FALCOZ, MD, PhD (Principal Investigator)
- Alex FOURDRAIN, MD
- Yaniss BELAROUSSI, MD
- Chloé MOINET, Resident doctor