NCT06549088

Analysis of Lung Cancer Tissue With Spatial Frequency Domain Imaging

• Status: Enrolling By Invitation
• Phase: —
• Study type: Observational
• Enrollment: 20 (estimated)
• Sponsor: University of California, Irvine · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Lung Diseases
• Cancer, Lung

Interventions

Type	Name	Description
DEVICE	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.

Timeline

• Start date: 2023-08-07
• Primary completion: 2025-08-01
• Completion: 2026-12-31
• First posted: 2024-08-12
• Last updated: 2024-08-12

Locations

1 site across 1 country: United States