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| Name | Class |
|---|---|
| Universität Tübingen | OTHER |
| University of Florence | OTHER |
| Fundacio Clinic Barcelona | OTHER |
| Hospital Clinic of Barcelona |
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The goal of this study is to develop supportive diagnostic artificial intelligence algorithms to distinguish melanoma from nevi or other benign pigmented skin lesions, especially in younger patients (below the age of 30). The main goals it aims to achieve are:
There is no additional time commitment for the study participants for this study, as the data used in this project will be collected in routine clinical practice anyway.
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| Measure | Description | Time Frame |
|---|---|---|
| Area Under the Receiver Operator Curve (AUROC) | The AUROC is used to measure and compare the diagnostic accuracy of different classifiers. Thereby, a higher value means better diagnostic performance, with an AUROC of 1 being a perfect score. | First Assessment: Upon completion of the first training and testing cycle (approx. within 1.5 years from the start of the study). Reevaluations: at 6 and 12 months post-initial training for model improvement. |
| Measure | Description | Time Frame |
|---|---|---|
| Balanced accuracy | The balanced accuracy is used to measure and compare the diagnostic accuracy between classifier and physician. Thereby, a higher value means better diagnostic performance, with a balanced accuracy of 1 signifying perfect diagnostic capabilities. | First Assessment: Upon completion of the first training and testing cycle (approx. within 1.5 years from the start of the study). Reevaluations: at 6 and 12 months post-initial training for model improvement. |
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Inclusion Criteria:
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Exclusion Criteria:
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Mainly children (up to and including 15 years of age), adolescents (16-20) and young adults (from 21 to 30 years of age)
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Titus J Brinker, PD Dr. med | Contact | +49 15175084347 | titus.brinker@nct-heidelberg.de |
| Name | Affiliation | Role |
|---|---|---|
| Titus J Brinker, PD Dr. med | German Cancer Research Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Tübingen | Completed | Tübingen | 72074 | Germany | ||
| University of Florence |
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| Label | URL |
|---|---|
| Homepage of the MELCAYA project | View source |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | May 30, 2023 | Sep 24, 2024 | Prot_SAP_000.pdf |
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| ID | Term |
|---|---|
| D008545 | Melanoma |
| D009369 | Neoplasms |
| ID | Term |
|---|---|
| D018358 | Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
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| OTHER |
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| Completed |
| Florence |
| 50121 |
| Italy |
| Hospital Clínic de Barcelona | Recruiting | Barcelona | 08036 | Spain |
|
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D012878 | Skin Neoplasms |
| D009371 | Neoplasms by Site |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |