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NCT Number: NCT06600165

Intraoperative Confocal Laser Scanning Microscopy With Use of AI for Optimized Surgical Excision of Basal Cell Carcinoma

The aim is to use AI to assist surgeons in analyzing CLSM tissue slide images obtained during BCC surgeries with the aim to integrate it in real time. We plan to use AI to analyze CLSM images of BCCs and distinguish between tumor tissue, inflammatory tissue, and non-tumor/non-inflammatory tissue. This approach would provide surgeons with real-time feedback and automated image analysis, leading to a more targeted and efficient approach to tissue analysis. By improving the accuracy and speed of tissue analysis, our proposal could ultimately improve operative patient outcomes and benefit healthcare professionals.

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Key information

Conditions

Basal Cell Carcinoma Carcinoma Carcinoma, Basal Cell Neoplasms Neoplasms by Histologic Type Neoplasms, Basal Cell Neoplasms, Glandular and Epithelial

Sex eligibility

All sexes

Study type

Observational

Primary location

Clinic and Policlinic of Dermatology and Allergy, LMU Munich

Munich, Bavaria, 80337, Germany

Location status: Recruiting

Location contact

Maximilian Deussing, MD

CONTACT

[email protected]

+49440056010

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Patients with Basal Cell Carcinoma

Exclusion criteria

  • Patient unable to consent

Treatment and study plan

Ex vivo confocal microscopy

Procedure

The aim is to use AI to assist surgeons in analyzing CLSM tissue slide images obtained during BCC surgeries with the aim to integrate it in real time. We plan to use AI to analyze CLSM images of BCCs and distinguish between tumor tissue, inflammatory tissue, and non-tumor/non-inflammatory tissue. This approach would provide surgeons with real-time feedback and automated image analysis, leading to a more targeted and efficient approach to tissue analysis. By improving the accuracy and speed of tissue analysis, our proposal could ultimately improve operative patient outcomes and benefit healthcare professionals.

Primary outcomes

  1. Ex vivo confocal laser scanning microscopy

    Time frame: 2 years

    Reaching the planned number of 1000 patients

Study contacts

Contact information is provided by the study sponsor or research team.

Maximilian Deußing, Dr.

CONTACT

[email protected]

+4989440056010

Sponsors and collaborators

Lead sponsor

LMU Klinikum

Other

Registry information

Official study title

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

Important dates

Study start
2025
Primary completion
2026
Study completion
2027
First posted
Sep 19, 2024
Registry last updated
Sep 9, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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