- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05046067
Feasibility Study of Anatomical Modeling for Image Guided Thoracic Surgery
Study Overview
Status
Conditions
Intervention / Treatment
Detailed 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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Texas
-
Houston, Texas, United States, 77030
- M D Anderson Cancer Center
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
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
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Diagnostic (CT)
Patients undergo 4 CT scans during standard of care surgery.
|
Undergo CT
Other Names:
Undergo surgery per standard of care
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Feasibility of anatomical modeling for image guided thoracic surgery
Time Frame: Up to 1 year
|
The geometrical accuracy of the models for localizing the tumor will be quantified.
The study is feasible if tumors for all 10 patients can be located with accuracy of within 1 cm or less.
Anatomical modeling for image guided thoracic surgery will be considered feasible if researchers are able to determine the location of the tumor in a deflated lung to within the accuracy required by the surgeon for clinical use.
|
Up to 1 year
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Ravi Rajaram, M.D. Anderson Cancer Center
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2019-1189 (Other Identifier: M D Anderson Cancer Center)
- NCI-2021-06616 (Registry Identifier: CTRP (Clinical Trial Reporting Program))
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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