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Virtual reality lung models guide removal of a lung segment in lung cancer

Tests 3D virtual reality planning with dye imaging for lung segment removal in lung cancer.

Plain-language title generated from the registry record
Registry title: 3-Dimensional Virtual Reality Modelling With Intravascular Indocyanine Green Fluorescence Mapping for Targeted Pulmonary Segmental Resection Trial

Key facts

Where
Hamilton, CanadaSee the site
Phase
Phase 1/2

Where in Canada

  • St. Joseph's Healthcare HamiltonHamilton, CanadaNo longer taking part

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Trial details

Who runs it
St. Joseph's Healthcare Hamilton
Trial code
NCT06638125
Record updated
2 February 2026
Original description
With the advent of CT screening for lung cancer, an increasing number of NSCLCs are being detected at very early stages, and the demand for pulmonary segmentectomy is rising rapidly. As such, there is a need to develop new surgical techniques to facilitate minimally invasive pulmonary segmentectomy, as segmentectomy may provide a number of significant advantages over lobectomy for patients presenting with early-stage lung cancer, or for patients unable to undergo a full lobectomy due to existing comorbidities. This study will provide the first case series using preoperative 3D virtual reality (VR) anatomical planning (Elucis) added to ICG and NIF-guided robotic segmentectomy to date and will be the first reported use of Elucis-guided targeted pulmonary segmental resection in Canada. As lung cancer is the most frequently fatal cancer in North America, many thousands of patients will be able to benefit from this operation every year.Read full original descriptionShow less

3-Dimensional Virtual Reality Modelling With Intravascular Indocyanine Green Fluorescence Mapping for Targeted Pulmonary Segmental Resection Trial

With the advent of CT screening for lung cancer, an increasing number of NSCLCs are being detected at very early stages, and the demand for pulmonary segmentectomy is rising rapidly. As such, there is a need to develop new surgical techniques to facilitate minimally invasive pulmonary segmentectomy, as segmentectomy may provide a number of significant advantages over lobectomy for patients presenting with early-stage lung cancer, or for patients unable to undergo a full lobectomy due to existing comorbidities. This study will provide the first case series using preoperative 3D virtual reality (VR) anatomical planning (Elucis) added to ICG and NIF-guided robotic segmentectomy to date and will be the first reported use of Elucis-guided targeted pulmonary segmental resection in Canada. As lung cancer is the most frequently fatal cancer in North America, many thousands of patients will be able to benefit from this operation every year.

If successful, this project will establish a novel operation that has the potential of increasing the rates of success for segmental resection. This will allow for further research that will externally validate this technique and ensure that it is reproducible in other centres by other surgeons. As segmental resection is the new standard of care for surgical management of early-stage NSCLC, and because lung cancer is the most frequently fatal cancer in North America, many thousands of patients will be able to benefit from this operation every year.

Equally importantly, the investigators believe that this method will enable them to develop a new way of teaching lung resections, in a manner that is more effective for learners. Further research on the role of VR in teaching lung cancer surgery will very likely be a downstream effect of developing this surgical method.

Inclusion: Age >/= 18 years; Tumour size < 3 cm; Clinical Stage 1 Non-Small Cell Lung Cancer (NSCLC); CT-imaging confirming that the tumour is confined to one broncho-pulmonary segment, rendering the patient a candidate for segmental resection.

Exclusion: Women who are currently pregnant or breastfeeding; or women of childbearing potential who are not currently taking adequate birth control; Hypersensitivity or allergy to ICG, sodium iodide, or iodine.

ClinicalTrials.gov NCT06638125