Applicability of 3D Total Body Photography and machine learning tools to estimate body surface involvement and neurocutaneous melanosis risk in giant and large congenital melanocytic nevi patients
Predicted probability of recurrence in patients with the highest and lowest risk. Conclusions:Our findings indicate that ulceration, subtype, body site of primary melanoma, patient age, and sex are important predictors of melanoma recurrence within 10 years of the initial diagnosis.
Authors
- Priscila Giavedoni (ORCID: https://orcid.org/0000-0002-1474-9261)
- P. Roses
- A. Caño (ORCID: https://orcid.org/0000-0003-3999-2791)
- Cristina Carrera (ORCID: https://orcid.org/0000-0003-1608-8820)
- Josep Malvehy (ORCID: https://orcid.org/0000-0002-6998-914X)
- Laura Serra (ORCID: https://orcid.org/0000-0002-2717-1286)
- Susana Puig (ORCID: https://orcid.org/0000-0003-1337-9745)
- Joan Anton Puig‐Butillé (ORCID: https://orcid.org/0000-0003-4345-9631)
- R.M. Patricio da Silva-Junior
- M.C. Rivas
- Asunción Vicente
Institutions
- Hospital Sant Joan de Déu Barcelona (ES)
- European Molecular Biology Laboratory (ES)
- Hospital Clínic de Barcelona (ES)
- Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES)
- Instituto de Investigación de Enfermedades Raras (ES)
Publication Details
- Journal
- EJC Skin Cancer
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.ejcskn.2025.100367
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00