Non-linear Multimodal Microendoscopy for Lung Cancer Pathology
NCT ID: NCT02699229
Last Updated: 2024-12-04
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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WITHDRAWN
OBSERVATIONAL
2024-01-11
2024-12-03
Brief Summary
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1. To characterize human lung lesions by nonlinear microscopy using ex vivo tissues.
2. To establish the first spectral/structural database for nonlinear optical microimaging of normal and abnormal lung tissue.
Detailed Description
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1. To characterize human lung lesions by nonlinear microscopy using ex vivo tissues. In particular, to investigate collagen content and ultrastructure with SHG (second harmonic generation) microscopy, to characterize cell and nuclear morphology and lipid vesicle content with THG (third harmonic generation) and CARS (coherent anti-Stokes Raman scattering) microscopy and to conduct spectroscopic and lifetime characterization of MPF (multiphoton fluorescence) signals in cancerous, benign, and normal tissues.
2. To establish the first spectral/structural database for nonlinear optical microimaging of normal and abnormal lung tissue, from which to generate diagnostic algorithms, both to optimize the operating parameters of planned nonlinear endoscopic imaging and to serve as the basis for nonlinear optical histopathology.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Malignant
Tissue sample
No interventions assigned to this group
Benign
Tissue sample
No interventions assigned to this group
Normal
Tissue Sample
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Patients with confirmed or suspected lung cancer who require lobectomy as part of standard-of-care.
Exclusion Criteria
* Patients where there is a high clinical suspicion of lymphoma (to avoid mixing the data sets).
* Patients unable to give informed consent
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
Other Identifiers
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14-7485
Identifier Type: -
Identifier Source: org_study_id