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Analysis of Lung Cancer Tissue With Spatial Frequency Domain Imaging
Sponsor: University of California, Irvine
Summary
This study investigates if a new imaging device can detect different types of lung tissue using spatial frequency domain imaging (SFDI). Specifically, this study aims to detect lung nodules within normal lung tissue and determine if lung nodules are cancerous. Patients who have confirmed or suspected lung nodules and who are undergoing resection of those nodules will be recruited for the study. Study participants will undergo standard of care lung nodule resection in the operating room, and the resected specimen will be imaged using the SFDI device immediately after removal from the surgical field. The data captured from the SFDI images will then be compared to the pathology findings to identify optical properties of normal and cancerous lung tissue. Because the intervention is conducted on resected biospecimens, this study yields minimal risk to participants.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
20
Start Date
2023-08-07
Completion Date
2026-12-31
Last Updated
2024-08-12
Healthy Volunteers
No
Conditions
Interventions
Spatial Frequency Domain Imaging
Resected lung tissue will be removed from the surgical field and labeled with sutures per standard of care. The specimen will then be immediately analyzed using two SFDI devices in the operating room using sterile technique. Each specimen will be recorded up to three times to ensure at least one high fidelity recording is captured. The SFDI data will be analyzed and compared to the official pathology report from the electronic medical record.
Locations (1)
University of California, Irvine Medical Center
Orange, California, United States