Feasibility Study of Anatomical Modeling for Image Guided Thoracic Surgery

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.

Inclusion criteria

• Patients must have previous CT images demonstrating a lung mass or masses amenable to lung resection (open or minimally invasive)
• Patient is scheduled for surgical resection in a room equipped with intraoperative CT
• Patient must sign informed consent, with risks and benefits of CT imaging explained
• Patients with lung tumors >= 1cm to =< 3 cm based on preoperative CT scan. (Patients with lung tumors from < 1 cm or > 3 cm will be reviewed and approved for inclusion on an individual assessment by clinical collaborators)

Exclusion criteria

• Pediatric patients less than 18 years of age
• Patients who have undergone previous ipsilateral thoracic surgery, sclerotherapy, or radiation therapy as intraoperative adhesions may limit lung collapse intraoperatively
• Patients who received neoadjuvant immunotherapy
• Women who are pregnant or nursing