Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Marta, Cremonesi"'
Autor:
Stefania Volpe, Mattia Zaffaroni, Gaia Piperno, Maria Giulia Vincini, Maria Alessia Zerella, Federico Mastroleo, Federica Cattani, Cristiana Iuliana Fodor, Federica Bellerba, Tiziana Bonaldi, Giuseppina Bonizzi, Francesco Ceci, Marta Cremonesi, Nicola Fusco, Sara Gandini, Cristina Garibaldi, Davide La Torre, Roberta Noberini, Giuseppe Petralia, Lorenzo Spaggiari, Konstantinos Venetis, Roberto Orecchia, Monica Casiraghi, Barbara Alicja Jereczek-Fossa
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Background Currently, main treatment strategies for early-stage non-small cell lung cancer (ES-NSCLC) disease are surgery or stereotactic body radiation therapy (SBRT), with successful local control rates for both approaches. However, region
Externí odkaz:
https://doaj.org/article/50e15bae41d24dc1a3734f44d144cb3e
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7684 (2024)
This study compares various methodologies for lung dosimetry in radioembolization using Monte Carlo (MC) simulations. A voxelized anthropomorphic phantom, created from a real patient’s CT scan, preserved the actual density distribution of the lungs
Externí odkaz:
https://doaj.org/article/30ee9a10b76e421fa4201846ceda3dfd
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:
Maria Alessia Zerella, Mattia Zaffaroni, Giuseppe Ronci, Samantha Dicuonzo, Damaris Patricia Rojas, Anna Morra, Cristiana Fodor, Elena Rondi, Sabrina Vigorito, Francesca Botta, Marta Cremonesi, Cristina Garibaldi, Silvia Penco, Viviana Enrica Galimberti, Mattia Intra, Sara Gandini, Massimo Barberis, Giuseppe Renne, Federica Cattani, Paolo Veronesi, Roberto Orecchia, Barbara Alicja Jereczek-Fossa, Maria Cristina Leonardi
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Breast-conserving surgery (BCS) and whole breast radiation therapy (WBRT) are the standard of care for early-stage breast cancer (BC). Based on the observation that most local recurrences occurred near the tumor bed, accelerated p
Externí odkaz:
https://doaj.org/article/3aff575229a74e338054d07949839efd
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:
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:
Filippo Pesapane, Anna Rotili, Giorgio Maria Agazzi, Francesca Botta, Sara Raimondi, Silvia Penco, Valeria Dominelli, Marta Cremonesi, Barbara Alicja Jereczek-Fossa, Gianpaolo Carrafiello, Enrico Cassano
Publikováno v:
Current Oncology, Vol 28, Iss 4, Pp 2351-2372 (2021)
Radiomics is an emerging translational field of medicine based on the extraction of high-dimensional data from radiological images, with the purpose to reach reliable models to be applied into clinical practice for the purposes of diagnosis, prognosi
Externí odkaz:
https://doaj.org/article/bf886af951fd4238a74158c86ae50c58
Autor:
Jonathan Gear, Caroline Stokke, Christelle Terwinghe, Silvano Gnesin, Mattias Sandström, Johannes Tran-Gia, Marta Cremonesi, Francesco Cicone, Fredrik Verburg, Roland Hustinx, Luca Giovanella, Ken Herrmann, Pablo Minguez Gabiña
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging, 50(7), 1861-1868. Springer-Verlag
Dosimetry can be a useful tool for personalization of molecular radiotherapy (MRT) procedures, enabling the continuous development of theranostic concepts. However, the additional resource requirements are often seen as a barrier to implementation. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e90294209529efc1cd06dbd32d7b239
https://doi.org/10.1007/s00259-023-06226-z
https://doi.org/10.1007/s00259-023-06226-z
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