se of artificial intelligence for histomorphological investigation of squamous cell carcinomas of the oral cavity
- Conditions
- Squamous cell carcinoma of the oropharynx
- Registration Number
- DRKS00031368
- Lead Sponsor
- Klinik für Mund-, Kiefer- und Gesichtschirurgie des Universitätsklinikums Freiburg
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- All
- Target Recruitment
- 609
Inclusion Criteria
no other tumours in the head/neck area known
-no pre-treatment of the disease
-stored biomaterial available in usable state
Exclusion Criteria
-other tumours in the head/neck area
-previous treatment of the disease
-stored biomaterial no longer usable
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The digital recognition of tumor-positive sections succeeds with the artificial intelligence used with a sensitivity comparable to the existing conventional method (light microscopic examination of the preparation).
- Secondary Outcome Measures
Name Time Method AI-based pattern recognition can be used to form clusters. It is possible to derive a relationship between certain clusters and the clinical prognosis.