Non-linear Multimodal Microendoscopy for Lung Cancer Pathology

Withdrawn

• Conditions: Lung Cancer

• Registration Number: NCT02699229
• Lead Sponsor: 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.

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.

Study Timeline

• Study First Submitted: 2015-12-02
• Study First Submitted QC: 2016-02-29
• Study First Posted: 2016-03-04
• Study Start: 2024-01-11
• Status Verified: 2024-12
• Primary Completion: 2024-12
• Study Completion: 2024-12-03
• Last Update Submitted: 2024-12-03
• Last Update Posted: 2024-12-04

Recruitment & Eligibility

• Status: WITHDRAWN
• Sex: All
• Target Recruitment: Not specified

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

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Nonlinear optical microscopy for cancerous tissue detection in human lung lesions	Two years

Secondary Outcome Measures

Name	Time	Method
The first spectral/structural database for nonlinear optical micro-imaging of normal and abnormal lung tissue	Two Years