Feasibility of a Minimally Invasive Thoracoscopic Ultrasound for Localization of Pulmonary Nodules
Feasibility of a Minimally Invasive Thoracoscopic Ultrasound for Localization of Pulmonary Nodules Using Resected Human Lungs
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Ontario
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Toronto, Ontario, Canada, M5G 2C4
- University Health Network
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Any patients scheduled for lobectomy of anatomical segmental resection for malignant lung tumors.
- 18 Years of age and older
Exclusion Criteria:
- Any patients with inability to give informed consent
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
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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.
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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.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Comparison of XLTF-UC180 Nodule Measurement with pathological morphology
Time Frame: 2 Years
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The primary objective of this study is to demonstrate the feasibility of thoracoscopic ultrasound for localization of pulmonary nodules in ex-vivo human lungs.
We will evaluate the resected specimen using the XLTF-UC180 in the GTx-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
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2 Years
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Kazuhiro Yasufuku, MD, PhD, University Health Network, Toronto
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 13-7111
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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