Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Marta Zerunian"'
Autor:
Domenico Albano, Carmen Mallardi, Saif Afat, Paulo Moraes Agnollitto, Damiano Caruso, Roberto Cannella, Serena Carriero, Kalina Chupetlovska, Paola Clauser, Tommaso D’Angelo, Domenico De Santis, Marco Dioguardi Burgio, Ivo Dumic-Cule, Salvatore Claudio Fanni, Stefano Fusco, Marco Gatti, Salvatore Gitto, Sonja Jankovic, Tsvetomir Karagechev, Michail E. Klontzas, Emmanouil Koltsakis, Doris Leithner, Vid Matišić, Giuseppe Muscogiuri, Ralitsa Penkova, Michela Polici, Francesca Serpi, Carmelo Sofia, Ziga Snoj, Tugba Akinci D’Antonoli, Federica Vernuccio, João Vieira, Ana Catarina Vieira, Mirjam Wielema, Marta Zerunian, Carmelo Messina
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To collect real-world data about the knowledge and self-perception of young radiologists concerning the use of contrast media (CM) and the management of adverse drug reactions (ADR). Methods A survey (29 questions) was distributed
Externí odkaz:
https://doaj.org/article/8067ac5a0fe34e8bade817800296b722
Autor:
Thomas Buddenkotte, Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar, Christian Etmann, Subhadip Mukherjee, Vlad Bura, Cathal McCague, Hilal Sahin, Roxana Pintican, Marta Zerunian, Iris Allajbeu, Naveena Singh, Anju Sahdev, Laura Havrilesky, David E. Cohn, Nicholas W. Bateman, Thomas P. Conrads, Kathleen M. Darcy, G. Larry Maxwell, John B. Freymann, Ozan Öktem, James D. Brenton, Evis Sala, Carola-Bibiane Schönlieb
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-10 (2023)
Abstract Purpose To determine if pelvic/ovarian and omental lesions of ovarian cancer can be reliably segmented on computed tomography (CT) using fully automated deep learning-based methods. Methods A deep learning model for the two most common disea
Externí odkaz:
https://doaj.org/article/d86351df71064c6098a739ef36b913d9
Autor:
Mireia Crispin-Ortuzar, Ramona Woitek, Marika A. V. Reinius, Elizabeth Moore, Lucian Beer, Vlad Bura, Leonardo Rundo, Cathal McCague, Stephan Ursprung, Lorena Escudero Sanchez, Paula Martin-Gonzalez, Florent Mouliere, Dineika Chandrananda, James Morris, Teodora Goranova, Anna M. Piskorz, Naveena Singh, Anju Sahdev, Roxana Pintican, Marta Zerunian, Nitzan Rosenfeld, Helen Addley, Mercedes Jimenez-Linan, Florian Markowetz, Evis Sala, James D. Brenton
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract High grade serous ovarian carcinoma (HGSOC) is a highly heterogeneous disease that typically presents at an advanced, metastatic state. The multi-scale complexity of HGSOC is a major obstacle to predicting response to neoadjuvant chemotherap
Externí odkaz:
https://doaj.org/article/f80cba9b3dae477aa79e30f52e6184bd
Autor:
Elena Romano, Michela Polici, Matteo Marasco, Francesco Lerose, Elisabetta Dell’Unto, Stefano Nardacci, Marta Zerunian, Elsa Iannicelli, Maria Rinzivillo, Andrea Laghi, Bruno Annibale, Francesco Panzuto, Damiano Caruso
Publikováno v:
Nutrients, Vol 16, Iss 14, p 2224 (2024)
Background: Neuroendocrine neoplasms (NENs) are slow-growing tumors. Sarcopenia is defined as the loss of muscle mass, strength, and physical performance. First-line NEN therapy is somatostatin analogs, which could be responsible for malabsorption co
Externí odkaz:
https://doaj.org/article/f04ed2c2be22457fa88dd492068de14e
Autor:
Marta Zerunian, Benedetta Masci, Damiano Caruso, Francesco Pucciarelli, Michela Polici, Stefano Nardacci, Domenico De Santis, Elsa Iannicelli, Andrea Laghi
Publikováno v:
Diagnostics, Vol 14, Iss 4, p 379 (2024)
Magnetic resonance elastography (MRE) is an imaging technique that combines low-frequency mechanical vibrations with magnetic resonance imaging to create visual maps and quantify liver parenchyma stiffness. As in recent years, diffuse liver diseases
Externí odkaz:
https://doaj.org/article/1b1b81c815014295af3f57884eb94d6e
Autor:
Marta Zerunian, Ilaria Nacci, Damiano Caruso, Michela Polici, Benedetta Masci, Domenico De Santis, Paolo Mercantini, Giulia Arrivi, Federica Mazzuca, Pasquale Paolantonio, Emanuela Pilozzi, Andrea Vecchione, Mariarita Tarallo, Enrico Fiori, Elsa Iannicelli, Andrea Laghi
Publikováno v:
Cancers, Vol 16, Iss 3, p 660 (2024)
The aim of this study was to compare CT radiomics and morphological features when assessing benign lymph nodes (LNs) in colon cancer (CC). This retrospective study included 100 CC patients (test cohort) who underwent a preoperative CT examination and
Externí odkaz:
https://doaj.org/article/85ac092032d0476caef9cd23d725a665
Autor:
Leonardo Rundo, Lucian Beer, Lorena Escudero Sanchez, Mireia Crispin-Ortuzar, Marika Reinius, Cathal McCague, Hilal Sahin, Vlad Bura, Roxana Pintican, Marta Zerunian, Stephan Ursprung, Iris Allajbeu, Helen Addley, Paula Martin-Gonzalez, Thomas Buddenkotte, Naveena Singh, Anju Sahdev, Ionut-Gabriel Funingana, Mercedes Jimenez-Linan, Florian Markowetz, James D. Brenton, Evis Sala, Ramona Woitek
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundPathological response to neoadjuvant treatment for patients with high-grade serous ovarian carcinoma (HGSOC) is assessed using the chemotherapy response score (CRS) for omental tumor deposits. The main limitation of CRS is that it requires
Externí odkaz:
https://doaj.org/article/e4977050f91b4e03bdf1f1d2431f3e79
Autor:
Marco Rengo, Alessandro Onori, Damiano Caruso, Davide Bellini, Francesco Carbonetti, Domenico De Santis, Simone Vicini, Marta Zerunian, Elsa Iannicelli, Iacopo Carbone, Andrea Laghi
Publikováno v:
Journal of Personalized Medicine, Vol 13, Iss 5, p 717 (2023)
Background: preoperative risk assessment of gastrointestinal stromal tumors (GISTS) is required for optimal and personalized treatment planning. Radiomics features are promising tools to predict risk assessment. The purpose of this study is to develo
Externí odkaz:
https://doaj.org/article/cf8470c3f0d841a1b15b0a6bc113c590
Autor:
Damiano Caruso, Elisa Rosati, Nicola Panvini, Marco Rengo, Davide Bellini, Giulia Moltoni, Benedetta Bracci, Elena Lucertini, Marta Zerunian, Michela Polici, Domenico De Santis, Elsa Iannicelli, Paolo Anibaldi, Iacopo Carbone, Andrea Laghi
Publikováno v:
Insights into Imaging, Vol 12, Iss 1, Pp 1-9 (2021)
Abstract Background Patient body size represents the main determinant of parenchymal enhancement and by adjusting the contrast media (CM) dose to patient weight may be a more appropriate approach to avoid a patient over dosage of CM. To compare the p
Externí odkaz:
https://doaj.org/article/6de6851b111347cfba67e17b576451d1
Autor:
Marta Zerunian, Damiano Caruso, Alberto Zucchelli, Michela Polici, Carlo Capalbo, Marco Filetti, Federica Mazzuca, Paolo Marchetti, Andrea Laghi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Clinical evaluation poorly predicts outcomes in lung cancer treated with immunotherapy. The aim of the study is to assess whether CT-derived texture parameters can predict overall survival (OS) and progression-free survival (PFS) in patients
Externí odkaz:
https://doaj.org/article/18a7ae47de7d4a85ad1c5f7dd80511e2