Zobrazeno 1 - 10
of 1 105
pro vyhledávání: '"Vidiri, A"'
Autor:
Flaminia Campo, Oreste Iocca, Francesca Paolini, Valentina Manciocco, Silvia Moretto, Armando De Virgilio, Claudio Moretti, Antonello Vidiri, Aldo Venuti, Paolo Bossi, Giovanni Blandino, Raul Pellini
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-10 (2024)
Abstract Background Human papilloma virus (HPV) related cancers of the oropharynx are rapidly increasing in incidence and may soon represent the majority of all head and neck cancers. Improved monitoring and surveillance methods are thus an urgent ne
Externí odkaz:
https://doaj.org/article/c45d9903896b458481bb9a783a051808
Autor:
Federica Ganci, Matteo Allegretti, Carlotta Frascolla, Francesca Spinella, Francesca Rollo, Andrea Sacconi, Pascale De Valentina, Alina Catalina Palcau, Valentina Manciocco, Mariavittoria Vescovo, Ettore Cotroneo, Francesca Blandino, Maria Benevolo, Renato Covello, Paola Muti, Sabrina Strano, Antonello Vidiri, Giulia Fontemaggi, Raul Pellini, Giovanni Blandino
Publikováno v:
Biomarker Research, Vol 12, Iss 1, Pp 1-5 (2024)
Abstract Locoregional recurrences represent a frequently unexpected problem in head and neck squamous cell carcinoma (HNSCC). Relapse often (10–30%) occurs in patients with histologically negative resection margins (RMs), probably due to residual t
Externí odkaz:
https://doaj.org/article/4aec13763f344428a3a4e758c3570cc9
Autor:
Pasquini, Luca, Napolitano, Antonio, Tagliente, Emanuela, Dellepiane, Francesco, Lucignani, Martina, Vidiri, Antonello, Ranazzi, Giulio, Stoppacciaro, Antonella, Moltoni, Giulia, Nicolai, Matteo, Romano, Andrea, Di Napoli, Alberto, Bozzao, Alessandro
Background: Distinction of IDH mutant and wildtype GBMs is challenging on MRI, since conventional imaging shows considerable overlap. While few studies employed deep-learning in a mixed low/high grade glioma population, a GBM-specific model is still
Externí odkaz:
http://arxiv.org/abs/2102.13205
Autor:
Pasquini, Luca, Napolitano, Antonio, Lucignani, Martina, Tagliente, Emanuela, Dellepiane, Francesco, Rossi-Espagnet, Maria Camilla, Ritrovato, Matteo, Vidiri, Antonello, Villani, Veronica, Ranazzi, Giulio, Stoppacciaro, Antonella, Romano, Andrea, Di Napoli, Alberto, Bozzao, Alessandro
Radiomic models have been shown to outperform clinical data for outcome prediction in glioblastoma (GBM). However, clinical implementation is limited by lack of parameters standardization. We aimed to compare nine machine learning classifiers, with d
Externí odkaz:
http://arxiv.org/abs/2102.06526
Autor:
Antonio B. Porcaro, Alberto Bianchi, Sebastian Gallina, Francesco Ditonno, Paola I. Ornaghi, Emanuele Serafin, Alessandro Tafuri, Andrea Panunzio, Clara Cerrato, Stefano Vidiri, Damiano D’Aietti, Giovanni Mazzucato, Riccardo Rizzetto, Nelia Amigoni, Vincenzo De Marco, Filippo Migliorini, Stefano Zecchini Antoniolli, Matteo Brunelli, Salvatore Siracusano, Maria Angela Cerruto, Alessandro Antonelli
Publikováno v:
African Journal of Urology, Vol 29, Iss 1, Pp 1-13 (2023)
Abstract Background The study aimed to test the hypothesis that endogenous testosterone density (ETD), in the low through favorable intermediate PCa risk classes patients undergoing surgery, might be associated with disease progression. Materials and
Externí odkaz:
https://doaj.org/article/3de376ae5a444d7fab3c21b2d6949c78
Autor:
Antonio Benito Porcaro, Alberto Bianchi, Andrea Panunzio, Sebastian Gallina, Alessandro Tafuri, Emanuele Serafin, Rossella Orlando, Giovanni Mazzucato, Stefano Vidiri, Damiano D’Aietti, Francesca Montanaro, Giulia Marafioti Patuzzo, Francesco Artoni, Alberto Baielli, Francesco Ditonno, Riccardo Rizzetto, Alessandro Veccia, Alessandra Gozzo, Vincenzo De Marco, Matteo Brunelli, Maria Angela Cerruto, Alessandro Antonelli
Publikováno v:
Therapeutic Advances in Urology, Vol 16 (2024)
Background: Treatment outcomes in intermediate-risk prostate cancer (PCa) may be impaired by adverse pathology misclassification including tumor upgrading and upstaging. Clinical predictors of disease progression need to be improved in this category
Externí odkaz:
https://doaj.org/article/2c1d02cc54944902a22ec4501b33a40d
Autor:
Federica Ganci, Matteo Allegretti, Carlotta Frascolla, Francesca Spinella, Francesca Rollo, Andrea Sacconi, Valentina De Pascale, Alina Catalina Palcau, Valentina Manciocco, Mariavittoria Vescovo, Ettore Cotroneo, Francesca Blandino, Maria Benevolo, Renato Covello, Paola Muti, Sabrina Strano, Antonello Vidiri, Giulia Fontemaggi, Raul Pellini, Giovanni Blandino
Publikováno v:
Biomarker Research, Vol 12, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/a4d56f4acba344a694e658c89d6ee008
Autor:
Antonio Benito Porcaro, Alessandro Tafuri, Andrea Panunzio, Clara Cerrato, Alberto Bianchi, Sebastian Gallina, Stefano Vidiri, Damiano D'Aietti, Emanuele Serafin, Giovanni Mazzucato, Alessandro Princiotta, Davide Brusa, Matteo Brunelli, Vincenzo Pagliarulo, Maria Angela Cerruto, Alessandro Antonelli
Publikováno v:
Asian Journal of Andrology, Vol 25, Iss 5, Pp 556-563 (2023)
We tested the association between endogenous testosterone density (ETD; the ratio between endogenous testosterone [ET] and prostate volume) and prostate cancer (PCa) aggressiveness in very favorable low- and intermediate-risk PCa patients who underwe
Externí odkaz:
https://doaj.org/article/af451dc4062e4a229264765776091448
Autor:
Antonello Vidiri, Simona Marzi, Francesca Piludu, Sonia Lucchese, Vincenzo Dolcetti, Eleonora Polito, Francesco Mazzola, Paolo Marchesi, Elisabetta Merenda, Isabella Sperduti, Raul Pellini, Renato Covello
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 4277-4287 (2023)
Purpose: To evaluate the ability of preoperative MRI-based measurements to predict the pathological T (pT) stage and cervical lymph node metastasis (CLNM) via machine learning (ML)-driven models trained in oral tongue squamous cell carcinoma (OTSCC).
Externí odkaz:
https://doaj.org/article/b71080d1824f4fc4b5f59c64d5bf2c85
Autor:
Valeria Romeo, Arnaldo Stanzione, Lorenzo Ugga, Renato Cuocolo, Sirio Cocozza, Mario Quarantelli, Sanjeev Chawla, Davide Farina, Xavier Golay, Geoff Parker, Amita Shukla-Dave, Harriet Thoeny, Antonello Vidiri, Arturo Brunetti, Katarina Surlan-Popovic, Sotirios Bisdas
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-9 (2022)
Key Points The clinical role of PWI in HNSCC still has to be defined. Evidence-based recommendations are provided for the acquisition of PWI sequence in HNSCC. A modified-Delphi approach was used to reach a consensus among selected experts.
Externí odkaz:
https://doaj.org/article/455e7934586d43e394978ad4ebd66c02