Cone-beam CT Guided Microcoil Localization of Pulmonary Nodules During Video Assisted Thoracic Surgery(VATS)
NCT ID: NCT02496624
Last Updated: 2024-07-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
40 participants
INTERVENTIONAL
2015-06-30
2026-06-30
Brief Summary
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A recent addition to the GTx program is the development of the GTx OR, located within the general operating room of the Toronto General Hospital. The GTx OR houses 2 complimentary advance technologies: the Siemens Zeego and the Siemens Somotom Flash CT. The dual-energy Somatom Flash provides a "gold-standard" in CT imaging, while the Zeego provides excellent 3D Cone-beam CT with robotic placement for flexible integration within the operating environment. Together, the integration of these 2 components into a single OR enables critical evaluation of the limits of CT imaging technology for surgical guidance.
This study will be conducted using solely the Cone-beam CT (Zeego) for percutaneous placement and localization of markers for resection of small pulmonary nodules during VATS.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
OTHER
NONE
Study Groups
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Lung cancer
Cone Beam CT localization and placement of microcoil
Cone Beam CT localization and placement of microcoil
Interventions
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Cone Beam CT localization and placement of microcoil
Cone Beam CT localization and placement of microcoil
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Patients that are unable to tolerate general anesthesia
* Patients who are pregnant or patients that believe they are pregnant
* Patients with implantable devices susceptible to Radio Frequency (RF) fields
* Severely obese patients
18 Years
ALL
No
Sponsors
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University Health Network, Toronto
OTHER
Responsible Party
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Locations
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University Health Network
Toronto, Ontario, Canada
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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14-7395
Identifier Type: -
Identifier Source: org_study_id
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