Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Valentino Marino Picciola"'
Autor:
Marco Adriano Chessa, Maria Francesca Baracca, Alice Nadia Rossi, Bianca Maria Piraccini, Vittorio De Pietro, Valentino Marino Picciola, Alessandra Gelmetti, Iria Neri
Publikováno v:
Dermatology Practical & Conceptual, Vol 14, Iss 2 (2024)
Introduction: Pilomatricoma is a benign adnexal dermal or subcutaneous tumor derived from immature hair matrix cells. Objectives: The aim of our study is to evaluate clinical and dermoscopic features of pilomatricomas, with a specific focus on pedi
Externí odkaz:
https://doaj.org/article/f3e9242a0ece4d9a85918cee98dd7b6a
Autor:
Marco Adriano Chessa, Valentino Marino Picciola, Federica Filippi, Annalisa Patrizi, Cosimo Misciali, Bianca Maria Piraccini, Ignazio Stanganelli, Francesco Savoia
Publikováno v:
Dermatology Practical & Conceptual, Vol 12, Iss 4 (2022)
Multiple eruptive cutaneous non-melanoma skin cancers(NMSCs) have been reported to arise at the sites of skin surgery, including the area affected by the primary tumour and split thickness skin graft(STSG) donor and recipient sites. The aim of this s
Externí odkaz:
https://doaj.org/article/35682cd7f22848a59d05159e971f535e
Autor:
Federica Guaraldi, Matteo Zoli, Antonella Bacci, Marco Faustini-Fustini, Luca Morandi, Valentino Marino Picciola, Alberto Righi, Ernesto Pasquini, Sofia Asioli, Diego Mazzatenta, Dino Gibertoni
Publikováno v:
Clinical Endocrinology. 93:36-43
Objective Pituitary neuroendocrine tumours (PitNET)s can be aggressive, thus presenting local invasion, postsurgical recurrence and/or resistance to treatment, responsible for significant morbidity. The study aimed at identifying prognostic factors o
Autor:
Marco Faustini-Fustini, Sofia Asioli, Matteo Zoli, Arianna Rustici, Luca Regli, Olivier Zanier, Zoran Erlic, Valentino Marino Picciola, Carlo Serra, Diego Mazzatenta, Victor E. Staartjes, Federica Guaraldi, Ernesto Pasquini
Purpose Biochemical remission (BR), gross total resection (GTR), and intraoperative cerebrospinal fluid (CSF) leaks are important metrics in transsphenoidal surgery for acromegaly, and prediction of their likelihood using machine learning would be cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73b4c1cc112bcf3916203a095ab4902e
https://doi.org/10.5167/uzh-207357
https://doi.org/10.5167/uzh-207357
Autor:
Giovanni Corona, Valentino Marino Picciola, Diego Mazzatenta, Federica Guaraldi, Sofia Asioli
Publikováno v:
Endocrinology ISBN: 9783319730820
Endocrinology
Endocrinology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a4432e0e3ac327373cfbf67f4699305
https://doi.org/10.1007/978-3-319-73082-0_7-1
https://doi.org/10.1007/978-3-319-73082-0_7-1