NCT07358637

Brief Summary

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.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30

participants targeted

Target at below P25 for all trials

Timeline
27mo left

Started Sep 2026

Typical duration for all trials

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

January 14, 2026

Completed
8 days until next milestone

First Posted

Study publicly available on registry

January 22, 2026

Completed
7 months until next milestone

Study Start

First participant enrolled

September 1, 2026

Expected
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2027

1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2028

Last Updated

May 6, 2026

Status Verified

April 1, 2026

Enrollment Period

1.2 years

First QC Date

January 14, 2026

Last Update Submit

April 30, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • Validation of AI-OCT as an accurate method for detecting basal cell carcinomas

    2 years

Interventions

AI-OCTDIAGNOSTIC_TEST

Optical Coherence Tomography augmented by artificial intelligence software

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Adult patients with biopsy-confirmed BCC who are scheduled to receive Mohs micrographic surgery

You may qualify if:

  • Male or Female, ages 18 or older
  • at least one biopsy proven superficial or nodular BCC
  • willingness to have photographs taken of the treatment area
  • ability to understand and willingness to sign a written informed consent document

You may not qualify if:

  • infiltrative, micronodular, or morpheaform BCC
  • pregnant women
  • subjects not willing to have a biopsy taken from the treatment area
  • subjects with herpes simplex virus infection in the treatment area

Contact the study team to confirm eligibility.

Sponsors & Collaborators

MeSH Terms

Conditions

Carcinoma, Basal Cell

Condition Hierarchy (Ancestors)

CarcinomaNeoplasms, Glandular and EpithelialNeoplasms by Histologic TypeNeoplasmsNeoplasms, Basal Cell

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

January 14, 2026

First Posted

January 22, 2026

Study Start (Estimated)

September 1, 2026

Primary Completion (Estimated)

December 1, 2027

Study Completion (Estimated)

December 1, 2028

Last Updated

May 6, 2026

Record last verified: 2026-04