Feasibility of a Minimally Invasive Thoracoscopic Ultrasound for Localization of Pulmonary Nodules
NCT ID: NCT02665078
Last Updated: 2018-02-26
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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COMPLETED
25 participants
OBSERVATIONAL
2015-01-31
2015-11-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Study Groups
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Thoracoscopic Ultrasound
Patients who undergo lobectomy or an anatomical segmental resection for malignant lung tumors will be enrolled in the study. After lung resection, the lung will be evaluated by XLTF-UC180 for localization of the tumor. The ultrasound probe will be put on the lung surface in several different directions to obtain the cross section with maximum diameter. The ultrasound image with size measurement of the tumor will be recorded using an ultrasound scanner (EU-Y0008, OLYMPUS MEDICALSYSTEMS CORP., Tokyo, Japan). After ultrasound evaluation, the specimen will be delivered directory to the pathology laboratory and the actual tumor size and histological diagnosis will be determined. In addition, we will evaluate the differences between US image and pathological morphology using HE slides of lung tumor.
Thoracoscopic Ultrasound
We will evaluate the resected specimen using the XLTF-UC180 in the operating room (OR) to determine the localization rate of the targets. Ultrasound measurement and images will be compared to the actual size of the tumor and pathological morphology using HE slides of lung tumor to determine the correlation between those variables. The tumor depth from the lung surface will be also collected to clarify the maximum depth to which the ultrasound can visualize.
Interventions
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Thoracoscopic Ultrasound
We will evaluate the resected specimen using the XLTF-UC180 in the operating room (OR) to determine the localization rate of the targets. Ultrasound measurement and images will be compared to the actual size of the tumor and pathological morphology using HE slides of lung tumor to determine the correlation between those variables. The tumor depth from the lung surface will be also collected to clarify the maximum depth to which the ultrasound can visualize.
Eligibility Criteria
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Inclusion Criteria
* 18 Years of age and older
Exclusion Criteria
18 Years
ALL
No
Sponsors
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University Health Network, Toronto
OTHER
Responsible Party
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Principal Investigators
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Kazuhiro Yasufuku, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University Health Network, Toronto
Locations
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University Health Network
Toronto, Ontario, Canada
Countries
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Other Identifiers
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13-7111
Identifier Type: -
Identifier Source: org_study_id
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