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This clinical trial assesses the feasibility of creating a 3 dimensional (D) model of the lung and lung nodule(s) from computed tomography (CT) scan images performed during lung surgery. Unlike solid organs (like the kidney, brain, and liver), the lung changes shape (they inflate when a person breathe in and collapse when they breathe out). This makes it difficult to predict where, exactly, the tumor(s) will be on the lungs during surgery. A 3D model may help surgeons better predict where the location of the tumor(s) will be during surgery.
Full description
PRIMARY OBJECTIVE:
I. To assess the feasibility of developing an anatomical model to predict the location of the tumor in a deflated lung to assist in guidance during lung surgery.
SECONDARY OBJECTIVES:
I. Develop a registration technique to register the tumor onto the 2D/3D optical image obtained during surgery.
II. Determine the accuracy of mapping major segmental vasculature and bronchial structures onto 2D/3D optical images obtained during surgery.
OUTLINE:
Patients undergo 4 CT scans during standard of care surgery.
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3 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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