Clinical trial Recruiting at 1 site Observational

AI-assisted confocal imaging to guide removal of basal cell carcinoma

Official title: Intraoperative Confocal Laser Scanning Microscopy and Artificial Intelligence for Optimized Surgical Excision of Basal Cell Carcinoma

Run by LMU Klinikum · NCT06600165 · Data updated 2026-11-12

This project tests whether an AI tool can analyze confocal microscope images during basal cell carcinoma surgery to give surgeons real-time guidance on which tissue to remove.

More Basal Cell Carcinoma trials

Quick facts

Study typeObservational
SexAll
Enrollment1000 (estimated)
SponsorLMU Klinikum
Academic / other
Locations1 site (Munich, Bavaria)
StatusRecruiting
StartedMarch 1, 2025
Main results expectedDecember 31, 2026
Study endsDecember 31, 2027
Registry record updatedAugust 26, 2026
Trial IDNCT06600165 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults with a confirmed basal cell carcinoma who can give informed consent and are scheduled for surgical excision at LMU Munich are ideal candidates.

Probably not a fit

Patients without basal cell carcinoma, those unable to consent, or those treated outside the participating clinic are unlikely to receive benefit from this protocol.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

In this observational project, surgeons will collect ex vivo confocal laser scanning microscopy (CLSM) images from tissue excised during routine basal cell carcinoma surgeries. An AI algorithm will be developed to classify image regions as tumor, inflammatory, or non-tumor tissue and to provide automated annotations in near real time. The goal is to integrate AI output into the intraoperative workflow to offer immediate feedback without altering standard surgical care. Collected AI predictions will be compared with standard histopathology and surgeon assessment to measure accuracy and potential workflow advantages.

Why it matters

Potential benefit: If successful, the technique could help surgeons remove cancer more precisely, reduce repeat surgeries, and shorten time spent on intraoperative tissue assessment.

How similar studies have gone: Confocal microscopy has demonstrated the ability to identify basal cell carcinoma features and early AI work in dermatopathology is promising, but real-time intraoperative AI guidance remains relatively novel.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Patients with Basal Cell Carcinoma

Exclusion Criteria:

* Patient unable to consent

Where it's running

  • Clinic and Policlinic of Dermatology and Allergy, LMU Munich
    Munich, Bavaria, Germany
    Recruiting

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.