Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Daniela, Origgi"'
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract Background Breast cancer (BC) is the most common malignancy in women and the second cause of cancer death. In recent years, there has been a strong development in artificial intelligence (AI) applications in medical imaging for several tasks
Externí odkaz:
https://doaj.org/article/54483b6e724c4fd1a8e6130f99992d37
Autor:
Filippo Pesapane, Chiara Trentin, Federica Ferrari, Giulia Signorelli, Priyan Tantrige, Marta Montesano, Crispino Cicala, Roberto Virgoli, Silvia D’Acquisto, Luca Nicosia, Daniela Origgi, Enrico Cassano
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Background Breast cancer screening through mammography is crucial for early detection, yet the demand for mammography services surpasses the capacity of radiologists. Artificial intelligence (AI) can assist in evaluating microcalcifications
Externí odkaz:
https://doaj.org/article/e58fc0c841be4497a65155d9a047d6ab
Autor:
Filippo Pesapane, Priyan Tantrige, Paolo De Marco, Serena Carriero, Fabio Zugni, Luca Nicosia, Anna Carla Bozzini, Anna Rotili, Antuono Latronico, Francesca Abbate, Daniela Origgi, Sonia Santicchia, Giuseppe Petralia, Gianpaolo Carrafiello, Enrico Cassano
Publikováno v:
Medicina, Vol 59, Iss 9, p 1679 (2023)
Standardized radiological reports stimulate debate in the medical imaging field. This review paper explores the advantages and challenges of standardized reporting. Standardized reporting can offer improved clarity and efficiency of communication amo
Externí odkaz:
https://doaj.org/article/382a517a0ce142e0a46f84625552c77d
Autor:
Francesco Ria, Loredana D’Ercole, Daniela Origgi, Nicoletta Paruccini, Luisa Pierotti, Osvaldo Rampado, Veronica Rossetti, Sabina Strocchi, Alberto Torresin, Association of Medical Physics Task Group
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-9 (2022)
Abstract The evaluation of radiation burden in vivo is crucial in modern radiology as stated also in the European Directive 2013/59/Euratom—Basic Safety Standard. Although radiation dose monitoring can impact the justification and optimization of r
Externí odkaz:
https://doaj.org/article/c4a7f878df31493abab6c605b1934b80
Autor:
Lisa Rinaldi, Simone P. De Angelis, Sara Raimondi, Stefania Rizzo, Cristiana Fanciullo, Cristiano Rampinelli, Manuel Mariani, Alessandro Lascialfari, Marta Cremonesi, Roberto Orecchia, Daniela Origgi, Francesca Botta
Publikováno v:
European Radiology Experimental, Vol 6, Iss 1, Pp 1-13 (2022)
Abstract Background We investigated to what extent tube voltage, scanner model, and reconstruction algorithm affect radiomic feature reproducibility in a single-institution retrospective database of computed tomography images of non-small-cell lung c
Externí odkaz:
https://doaj.org/article/42a6721b9cb44a048099df4d59988fe8
Autor:
Luca Nicosia, Anna Carla Bozzini, Daniela Ballerini, Simone Palma, Filippo Pesapane, Sara Raimondi, Aurora Gaeta, Federica Bellerba, Daniela Origgi, Paolo De Marco, Giuseppe Castiglione Minischetti, Claudia Sangalli, Lorenza Meneghetti, Giuseppe Curigliano, Enrico Cassano
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 23, p 15322 (2022)
We aimed to investigate the association between the radiomic features of contrast-enhanced spectral mammography (CESM) images and a specific receptor pattern of breast neoplasms. In this single-center retrospective study, we selected patients with ne
Externí odkaz:
https://doaj.org/article/97a1f25bebd942d18beed0a02e0b5c4c
Autor:
João Santinha, Linda Bianchini, Mário Figueiredo, Celso Matos, Alessandro Lascialfari, Nikolaos Papanikolaou, Marta Cremonesi, Barbara A. Jereczek-Fossa, Francesca Botta, Daniela Origgi
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5465 (2022)
Radiomics is emerging as a promising tool to extract quantitative biomarkers—called radiomic features—from medical images, potentially contributing to the improvement in diagnosis and treatment of oncological patients. However, technical limitati
Externí odkaz:
https://doaj.org/article/dc250dddd4de46bd8ec758ddb07ef004
Autor:
Stefania Rizzo, Francesca Botta, Sara Raimondi, Daniela Origgi, Cristiana Fanciullo, Alessio Giuseppe Morganti, Massimo Bellomi
Publikováno v:
European Radiology Experimental, Vol 2, Iss 1, Pp 1-8 (2018)
Abstract Radiomics is an emerging translational field of research aiming to extract mineable high-dimensional data from clinical images. The radiomic process can be divided into distinct steps with definable inputs and outputs, such as image acquisit
Externí odkaz:
https://doaj.org/article/76616d0246994e17a118a568f3182136
Autor:
Lisa, Rinaldi, Federico, Pezzotta, Tommaso, Santaniello, Paolo, De Marco, Linda, Bianchini, Daniela, Origgi, Marta, Cremonesi, Paolo, Milani, Manuel, Mariani, Francesca, Botta
Publikováno v:
Physica Medica. 97:13-24
Phantoms mimicking human tissue heterogeneity and intensity are required to establish radiomic features robustness in Computed Tomography (CT) images. We developed inserts with two different techniques for the radiomic study of Non-Small Cell Lung Ca
Autor:
Mariagrazia Quattrocchi, Federica Rottoli, F. Emiro, S. Strocchi, Monica Cavallari, Annalisa Trianni, Loredana D'Ercole, P. Bregant, Michele Signoriello, Paola Nocera, Lucia Riccardi, Stefano Riga, S. Nici, A. Loria, A. Radice, L. Milan, Carlo Giordano, A. Taddeucci, Giorgia Guerra, Felicita Luraschi, Daniela Origgi, Cristina De Mattia, N. Oberhofer, M. Felisi, N. Paruccini, Francesca Pietrobon, Laura Mantovani, Luisa Pierotti, Paola Colombo, R. Villa, Raffaella Soavi
Publikováno v:
Physica Medica. 91:28-42
Purpose The assessment of low-contrast-details is a part of the quality control (QC) program in digital radiology. It generally consists of evaluating the threshold contrast (Cth) detectability details for different-sized inserts, appropriately locat