AI-enhanced OCT Imaging for Pre-surgical Margin Detection of Basal Cell Carcinoma

Basal cell carcinomas (BCCs) are the most common human malignancy, affecting about 2 million Americans each year. Mohs micrographic surgery (MMS) removes tissue by sequential excision. Costs for MMS could be reduced if the number of necessary excision stages were decreased by a more accurate initial tumor margin assessment. The goal of this observational study is to learn if Optical Coherence Tomography (OCT) used in conjunction with artificial intelligence algorithms is accurate in the detection of superficial BCC margins prior to MMS. This study also aims to determine if AI-OCT guided margin delineation can reduce the number of stages in MMS. Researchers will first focus on validating AI-OCT as a method for accurately detecting BCCs. A follow-up study would then address the guided pre-surgical margin delineation.

NCT Number	NCT07358637
Lead Sponsor	Henry Ford Health System
Conditions	Basal Cell Carcinoma of Skin
Enrollment	30 participants
Start Date	2026-09
Primary Completion	2027-12 (estimated)
Study Completion	2028-12 (estimated)
Updated on ClinicalTrials.gov	2026-05-06