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

Not yet recruiting

• Conditions: Basal Cell Carcinoma

• Registration Number: NCT06600165
• Lead Sponsor: LMU Klinikum

Brief Summary

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.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2024-09-11
• Study First Submitted QC: 2024-09-13
• Study First Posted: 2024-09-19
• Status Verified: 2025-03
• Study Start: 2025-03-01
• Last Update Submitted: 2025-03-03
• Last Update Posted: 2025-03-06
• Primary Completion: 2026-12-31
• Study Completion: 2027-12-31

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 1000

Inclusion Criteria

• Patients with Basal Cell Carcinoma

Exclusion Criteria

• Patient unable to consent

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Ex vivo confocal laser scanning microscopy	2 years	Reaching the planned number of 1000 patients