Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Francesco Alessandro Mistretta"'
Autor:
Riccardo Santamaria, Mattia Zaffaroni, Maria Giulia Vincini, Lorenzo Colombi, Aurora Gaeta, Federico Mastroleo, Giulia Corrao, Dario Zerini, Riccardo Villa, Giovanni Carlo Mazzola, Sarah Alessi, Stefano Luzzago, Francesco Alessandro Mistretta, Gennaro Musi, Ottavio De Cobelli, Sara Gandini, Lukasz Kuncman, Federica Cattani, Francesco Ceci, Giuseppe Petralia, Giulia Marvaso, Barbara Alicja Jereczek-Fossa
Publikováno v:
Life, Vol 14, Iss 7, p 870 (2024)
Purpose or Objective—The aim of the study is to evaluate the efficacy and safety of SBRT on detectable prostate bed recurrence in RT-naïve prostate cancer patients. Materials and methods: Eighty-six patients who underwent SBRT for macroscopic bed
Externí odkaz:
https://doaj.org/article/c65a6b0053534032bf8f2933ea0c239f
Autor:
Lars Johannes Isaksson, Matteo Pepa, Paul Summers, Mattia Zaffaroni, Maria Giulia Vincini, Giulia Corrao, Giovanni Carlo Mazzola, Marco Rotondi, Giuliana Lo Presti, Sara Raimondi, Sara Gandini, Stefania Volpe, Zaharudin Haron, Sarah Alessi, Paola Pricolo, Francesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Marta Cremonesi, Roberto Orecchia, Giulia Marvaso, Giuseppe Petralia, Barbara Alicja Jereczek-Fossa
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-16 (2023)
Abstract Background Contouring of anatomical regions is a crucial step in the medical workflow and is both time-consuming and prone to intra- and inter-observer variability. This study compares different strategies for automatic segmentation of the p
Externí odkaz:
https://doaj.org/article/3d66160ccfa04aa8a396ed21a6418f4d
Autor:
Lars Johannes Isaksson, Paul Summers, Abhir Bhalerao, Sara Gandini, Sara Raimondi, Matteo Pepa, Mattia Zaffaroni, Giulia Corrao, Giovanni Carlo Mazzola, Marco Rotondi, Giuliana Lo Presti, Zaharudin Haron, Sara Alessi, Paola Pricolo, Francesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Marta Cremonesi, Roberto Orecchia, Giulia Marvaso, Giuseppe Petralia, Barbara Alicja Jereczek-Fossa
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-10 (2022)
Abstract Objective Deploying an automatic segmentation model in practice should require rigorous quality assurance (QA) and continuous monitoring of the model’s use and performance, particularly in high-stakes scenarios such as healthcare. Currentl
Externí odkaz:
https://doaj.org/article/20e462da68664a30a6fae1db9ba29b24
Autor:
Matteo Ferro, Felice Crocetto, Biagio Barone, Francesco del Giudice, Martina Maggi, Giuseppe Lucarelli, Gian Maria Busetto, Riccardo Autorino, Michele Marchioni, Francesco Cantiello, Fabio Crocerossa, Stefano Luzzago, Mattia Piccinelli, Francesco Alessandro Mistretta, Marco Tozzi, Luigi Schips, Ugo Giovanni Falagario, Alessandro Veccia, Mihai Dorin Vartolomei, Gennaro Musi, Ottavio de Cobelli, Emanuele Montanari, Octavian Sabin Tătaru
Publikováno v:
Therapeutic Advances in Urology, Vol 15 (2023)
Radiomics and artificial intelligence (AI) may increase the differentiation of benign from malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma (RCC), differentiation of oncocytoma from RCC, differentiation of d
Externí odkaz:
https://doaj.org/article/250e7410cd2f4e14b7c6ab254ae9fab6
Autor:
Mattia Zaffaroni, Maria Giulia Vincini, Giulia Corrao, Chiara Lorubbio, Ilaria Repetti, Federico Mastroleo, Costantino Putzu, Riccardo Villa, Sofia Netti, Oriana D’Ecclesiis, Stefano Luzzago, Francesco Alessandro Mistretta, Gennaro Musi, Federica Cattani, Sara Gandini, Giulia Marvaso, Barbara Alicja Jereczek-Fossa
Publikováno v:
Nutrients, Vol 15, Iss 21, p 4583 (2023)
(1) Background: In the RADIOSA phase II randomized clinical trial (NCT03940235), the biology task entails the identification of predictive and prognostic biomarkers in the context of oligorecurrent, castration-sensitive prostate cancer in order to di
Externí odkaz:
https://doaj.org/article/cbaea5edc2b744b18224e022438855c8
Autor:
Lars Johannes Isaksson, Marco Repetto, Paul Eugene Summers, Matteo Pepa, Mattia Zaffaroni, Maria Giulia Vincini, Giulia Corrao, Giovanni Carlo Mazzola, Marco Rotondi, Federica Bellerba, Sara Raimondi, Zaharudin Haron, Sarah Alessi, Paula Pricolo, Francesco Alessandro Mistretta, Stefano Luzzago, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Marta Cremonesi, Roberto Orecchia, Davide La Torre, Giulia Marvaso, Giuseppe Petralia, Barbara Alicja Jereczek-Fossa
Publikováno v:
Informatics in Medicine Unlocked, Vol 37, Iss , Pp 101161- (2023)
When researchers are faced with building machine learning (ML) radiomic models, the first choice they have to make is what model to use. Naturally, the goal is to use the model with the best performance. But what is the best model? It is well known i
Externí odkaz:
https://doaj.org/article/642d6fad0d344f849ee0d52f917d2016
Autor:
Gennaro Musi, Stefano Luzzago, Giovanni Mauri, Francesco Alessandro Mistretta, Gianluca Maria Varano, Chiara Vaccaro, Sonia Guzzo, Daniele Maiettini, Ettore Di Trapani, Paolo Della Vigna, Roberto Bianchi, Guido Bonomo, Matteo Ferro, Zhe Tian, Pierre I. Karakiewicz, Ottavio de Cobelli, Franco Orsi, Mattia Luca Piccinelli
Publikováno v:
Diagnostics, Vol 13, Iss 18, p 2955 (2023)
Our objective was to develop a new, simple, and ablation-specific nephrometry score to predict peri-operative outcomes and to compare its predictive accuracy to PADUA and RENAL scores. Overall, 418 patients were treated with percutaneous thermal abla
Externí odkaz:
https://doaj.org/article/b8b54dd89ece4042aadf58554df3da53
Autor:
Matteo Ferro, Ugo Giovanni Falagario, Biagio Barone, Martina Maggi, Felice Crocetto, Gian Maria Busetto, Francesco del Giudice, Daniela Terracciano, Giuseppe Lucarelli, Francesco Lasorsa, Michele Catellani, Antonio Brescia, Francesco Alessandro Mistretta, Stefano Luzzago, Mattia Luca Piccinelli, Mihai Dorin Vartolomei, Barbara Alicja Jereczek-Fossa, Gennaro Musi, Emanuele Montanari, Ottavio de Cobelli, Octavian Sabin Tataru
Publikováno v:
Diagnostics, Vol 13, Iss 13, p 2308 (2023)
Artificial intelligence is highly regarded as the most promising future technology that will have a great impact on healthcare across all specialties. Its subsets, machine learning, deep learning, and artificial neural networks, are able to automatic
Externí odkaz:
https://doaj.org/article/ca883a32ae3743e3b1d3d520b567b6c6
Autor:
Matteo Ferro, Ottavio de Cobelli, Gennaro Musi, Francesco del Giudice, Giuseppe Carrieri, Gian Maria Busetto, Ugo Giovanni Falagario, Alessandro Sciarra, Martina Maggi, Felice Crocetto, Biagio Barone, Vincenzo Francesco Caputo, Michele Marchioni, Giuseppe Lucarelli, Ciro Imbimbo, Francesco Alessandro Mistretta, Stefano Luzzago, Mihai Dorin Vartolomei, Luigi Cormio, Riccardo Autorino, Octavian Sabin Tătaru
Publikováno v:
Therapeutic Advances in Urology, Vol 14 (2022)
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the e
Externí odkaz:
https://doaj.org/article/2a81c825dbd94ce6b96a95bed2a32e52
Autor:
Giovanni Carlo Mazzola, Maria Giulia Vincini, Elena Rondi, Giuseppe Ronci, Sabrina Vigorito, Mattia Zaffaroni, Giulia Corrao, Salvatore Gallo, Dario Zerini, Stefano Durante, Francesco Alessandro Mistretta, Stefano Luzzago, Matteo Ferro, Andrea Vavassori, Federica Cattani, Gennaro Musi, Ottavio De Cobelli, Giuseppe Petralia, Roberto Orecchia, Giulia Marvaso, Barbara Alicja Jereczek-Fossa
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7273 (2023)
The aim is to evaluate the feasibility of ultra-hypofractionated (UH) SBRT with CyberKnife® (CK) radiosurgery (Accuray Inc., Sunnyvale, California, USA) for localized prostate cancer (PCa) with a concomitant focal boost to the dominant intraprostati
Externí odkaz:
https://doaj.org/article/a1e590da7edb43998217684149b1e918