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

LMU Klinikum

Status: Enrolling

Conditions: Basal Cell Carcinoma

Treatments: Procedure: Ex vivo confocal microscopy

Study type: Observational

Funder types: Other

Identifiers

NCT06600165

DFG 536381342

Details and patient eligibility

About

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.

Enrollment: 1,000 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients with Basal Cell Carcinoma

Exclusion criteria

• Patient unable to consent