Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Mariaelena Occhipinti"'
Autor:
Antonella Meloni, Erica Maffei, Alberto Clemente, Carmelo De Gori, Mariaelena Occhipinti, Vicenzo Positano, Sergio Berti, Ludovico La Grutta, Luca Saba, Riccardo Cau, Eduardo Bossone, Cesare Mantini, Carlo Cavaliere, Bruna Punzo, Simona Celi, Filippo Cademartiri
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 8, p 2359 (2024)
Spectral Photon-Counting Computed Tomography (SPCCT) represents a groundbreaking advancement in X-ray imaging technology. The core innovation of SPCCT lies in its photon-counting detectors, which can count the exact number of incoming x-ray photons a
Externí odkaz:
https://doaj.org/article/4b7ee23299c0433b8efcdaa8d28d4926
Autor:
Ralph T. H. Leijenaar, Sean Walsh, Akshayaa Vaidyanathan, Lorenzo Aliboni, Victoria Lopez Sanchez, Michelle Leech, Ronan Joyce, Charles Gillham, Frédéric Kridelka, Roland Hustinx, Denis Danthine, Mariaelena Occhipinti, Wim Vos, Julien Guiot, Philippe Lambin, Pierre Lovinfosse
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract The paper deals with the evaluation of the performance of an existing and previously validated CT based radiomic signature, developed in oropharyngeal cancer to predict human papillomavirus (HPV) status, in the context of anal cancer. For th
Externí odkaz:
https://doaj.org/article/3bd3714f6173490d9c42ba52dd0d7e86
Autor:
Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, Flore Belmans, Fabio Bottari, Turkey Refaee, Pierre Lovinfosse, Alexandre Jadoul, Celine Derwael, Fabian Hertel, Henry C. Woodruff, Helle D. Zacho, Sean Walsh, Wim Vos, Mariaelena Occhipinti, François-Xavier Hanin, Philippe Lambin, Felix M. Mottaghy, Roland Hustinx
Publikováno v:
Cancer Imaging, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Purpose Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity for the diagnosis of MBD
Externí odkaz:
https://doaj.org/article/c744ea8c106646c39197f1afa9bedf77
Autor:
Pietro Andrea Bonaffini, Elisabetta De Bernardi, Andrea Corsi, Paolo Niccolò Franco, Dario Nicoletta, Riccardo Muglia, Giovanna Perugini, Marco Roscigno, Mariaelena Occhipinti, Luigi Filippo Da Pozzo, Sandro Sironi
Publikováno v:
Cancers, Vol 15, Iss 20, p 4963 (2023)
Prostate cancer (PC) is the most frequently diagnosed cancer among adult men, and its incidence is increasing worldwide [...]
Externí odkaz:
https://doaj.org/article/efb8061d9eca48c88b52098dad91b878
Publikováno v:
Frontiers in Oncology, Vol 12 (2023)
Externí odkaz:
https://doaj.org/article/caa7c8be332a40e7ba68f0b87df8efc3
Autor:
François Cousin, Thomas Louis, Sophie Dheur, Frank Aboubakar, Benoit Ghaye, Mariaelena Occhipinti, Wim Vos, Fabio Bottari, Astrid Paulus, Anne Sibille, Frédérique Vaillant, Bernard Duysinx, Julien Guiot, Roland Hustinx
Publikováno v:
Cancers, Vol 15, Iss 7, p 1968 (2023)
The aim of our study was to determine the potential role of CT-based radiomics in predicting treatment response and survival in patients with advanced NSCLC treated with immune checkpoint inhibitors. We retrospectively included 188 patients with NSCL
Externí odkaz:
https://doaj.org/article/188de3c48eda40c1ab9525132b3c03b1
Autor:
Akshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, Flore Belmans, Ingrid Van Peufflik, Louis Deprez, Denis Danthine, Gregory Canivet, Philippe Lambin, Sean Walsh, Mariaelena Occhipinti, Paul Meunier, Wim Vos, Pierre Lovinfosse, Ralph T.H. Leijenaar
Publikováno v:
ERJ Open Research, Vol 8, Iss 2 (2022)
Purpose In this study, we propose an artificial intelligence (AI) framework based on three-dimensional convolutional neural networks to classify computed tomography (CT) scans of patients with coronavirus disease 2019 (COVID-19), influenza/community-
Externí odkaz:
https://doaj.org/article/06c0f2983a8e45f79819d1d0caf8e1e8
Autor:
Orlando Parise, Gianmarco Parise, Akshayaa Vaidyanathan, Mariaelena Occhipinti, Ali Gharaviri, Cecilia Tetta, Elham Bidar, Bart Maesen, Jos G. Maessen, Mark La Meir, Sandro Gelsomino
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 10, Iss 2, p 82 (2023)
Background: This study aims to get an effective machine learning (ML) prediction model of new-onset postoperative atrial fibrillation (POAF) following coronary artery bypass grafting (CABG) and to highlight the most relevant clinical factors. Methods
Externí odkaz:
https://doaj.org/article/ce20d59c610d413b8efe06780f2d3a2a
Autor:
Mariaelena Occhipinti, Matteo Paoletti, James D. Crapo, Barry J. Make, David A. Lynch, Vito Brusasco, Federico Lavorini, Edwin K. Silverman, Elizabeth A. Regan, Massimo Pistolesi
Publikováno v:
Respiratory Research, Vol 21, Iss 1, Pp 1-9 (2020)
Abstract Background Standard spirometry cannot identify the predominant mechanism underlying airflow obstruction in COPD, namely emphysema or airway disease. We aimed at validating a previously developed methodology to detect emphysema by mathematica
Externí odkaz:
https://doaj.org/article/b36312dcc08848f0a108c6237565acf8
Autor:
Andrea Corsi, Elisabetta De Bernardi, Pietro Andrea Bonaffini, Paolo Niccolò Franco, Dario Nicoletta, Roberto Simonini, Davide Ippolito, Giovanna Perugini, Mariaelena Occhipinti, Luigi Filippo Da Pozzo, Marco Roscigno, Sandro Sironi
Publikováno v:
Journal of Clinical Medicine, Vol 11, Iss 21, p 6304 (2022)
PI-RADS 3 prostate lesions clinical management is still debated, with high variability among different centers. Identifying clinically significant tumors among PI-RADS 3 is crucial. Radiomics applied to multiparametric MR (mpMR) seems promising. Neve
Externí odkaz:
https://doaj.org/article/b051784cce28460193328e5a768f8cba