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Non-linear Multimodal Microendoscopy for Lung Cancer Pathology

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ClinicalTrials.gov Identifier: NCT02699229
Recruitment Status : Not yet recruiting
First Posted : March 4, 2016
Last Update Posted : March 25, 2020
Sponsor:
Information provided by (Responsible Party):
University Health Network, Toronto

Brief Summary:

For this study the investigators are looking to do the following:

  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.

Condition or disease
Lung Cancer

Detailed Description:

For this study the investigators are looking to do the following:

  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.

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Study Type : Observational
Estimated Enrollment : 20 participants
Observational Model: Cohort
Time Perspective: Prospective
Official Title: Non-linear Multimodal Microendoscopy for Lung Cancer Pathology
Estimated Study Start Date : December 2020
Estimated Primary Completion Date : December 2021
Estimated Study Completion Date : January 2022

Resource links provided by the National Library of Medicine


Group/Cohort
Malignant
Tissue sample
Benign
Tissue sample
Normal
Tissue Sample



Primary Outcome Measures :
  1. Nonlinear optical microscopy for cancerous tissue detection in human lung lesions [ Time Frame: Two years ]

Secondary Outcome Measures :
  1. The first spectral/structural database for nonlinear optical micro-imaging of normal and abnormal lung tissue [ Time Frame: Two Years ]


Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Lung Cancer Patients
Criteria

Inclusion Criteria:

  • Age 18 years or older.
  • Patients with confirmed or suspected lung cancer who require lobectomy as part of standard-of-care.

Exclusion Criteria:

  • Patients deemed on clinical grounds not to be medically fit for a lobectomy
  • Patients where there is a high clinical suspicion of lymphoma (to avoid mixing the data sets).
  • Patients unable to give informed consent

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02699229


Contacts
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Contact: Alexandria Grindlay, BSc 416-634-7066 alexandria.grindlay@uhn.ca
Contact: Judy McConnell, BSc 416-581-7486 judy.mcconnell@uhn.ca

Sponsors and Collaborators
University Health Network, Toronto
Investigators
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Principal Investigator: Kazuhiro Yasufuku, MD, PhD University Health Network, Toronto
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Responsible Party: University Health Network, Toronto
ClinicalTrials.gov Identifier: NCT02699229    
Other Study ID Numbers: 14-7485
First Posted: March 4, 2016    Key Record Dates
Last Update Posted: March 25, 2020
Last Verified: March 2020
Additional relevant MeSH terms:
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Lung Neoplasms
Respiratory Tract Neoplasms
Thoracic Neoplasms
Neoplasms by Site
Neoplasms
Lung Diseases
Respiratory Tract Diseases