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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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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Ex vivo confocal laser scanning microscopy | Reaching the planned number of 1000 patients | 2 years |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with Basal Cell Carcinoma undergoing biopsy or surgery
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Maximilian Deußing, Dr. | Contact | +4989440056010 | maximilian.deussing@med.uni-muenchen.de |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Clinic and Policlinic of Dermatology and Allergy, LMU Munich | Recruiting | Munich | Bavaria | 80337 | Germany |
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| ID | Term |
|---|---|
| D002280 | Carcinoma, Basal Cell |
| ID | Term |
|---|---|
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
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| D018295 |
| Neoplasms, Basal Cell |