Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Mohammad Naghavi Behzad"'
Autor:
Mohammad Naghavi-Behzad, Oke Gerke, Annette Raskov Kodahl, Marianne Vogsen, Jon Thor Asmussen, Wolfgang Weber, Malene Grubbe Hildebrandt, Kristian Kidholm
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract We evaluated the cost-effectiveness of 2-[18F]FDG-PET/CT compared to CE-CT for response monitoring in metastatic breast cancer (MBC) patients. The study included 300 biopsy-verified MBC patients treated at Odense University Hospital (Denmark
Externí odkaz:
https://doaj.org/article/f1fed97aa45249c5a262aa06211fb7f2
Autor:
Marianne Vogsen, Mohammad Naghavi-Behzad, Frederik Graae Harbo, Nick Møldrup Jakobsen, Oke Gerke, Jon Thor Asmussen, Henriette Juel Nissen, Sara Elisabeth Dahlsgaard-Wallenius, Poul-Erik Braad, Jeanette Dupont Jensen, Marianne Ewertz, Malene Grubbe Hildebrandt
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract This study aimed to compare CE-CT and 2-[18F]FDG-PET/CT for response monitoring metastatic breast cancer (MBC). The primary objective was to predict progression-free and disease-specific survival for responders vs. non-responders on CE-CT an
Externí odkaz:
https://doaj.org/article/f4a3cffc47c64126a7f865d1d81a7b21
Autor:
Iben Fasterholdt, Mohammad Naghavi-Behzad, Benjamin S. B. Rasmussen, Tue Kjølhede, Mette Maria Skjøth, Malene Grubbe Hildebrandt, Kristian Kidholm
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background Artificial intelligence (AI) is seen as one of the major disrupting forces in the future healthcare system. However, the assessment of the value of these new technologies is still unclear, and no agreed international health techno
Externí odkaz:
https://doaj.org/article/e87cac759714447b99da03bfe6af9870
Autor:
Shamsi Ghaffari, Shirin Forooghifar, Mohammad Naghavi Behzad, Nazila Karzad, Khazar Ghasempour Dabaghi, Reza Piri, Maryam Moradian, Roghaye Nasiri, Razieh Parizad, Arezou Tajlil
Publikováno v:
Crescent Journal of Medical and Biological Sciences, Vol 9, Iss 3, Pp 153-160 (2022)
Objectives: Despite the importance of congenital heart disease (CHD) in the population, the risk factors predisposing infants to be born with non-syndromic CHD are not well understood yet. Materials and Methods: In a case-control study, we recruited
Externí odkaz:
https://doaj.org/article/705f558e63654eb2898ad379026920c2
Autor:
Rosa Gram-Nielsen, Ivar Yannick Christensen, Mohammad Naghavi-Behzad, Sara Elisabeth Dahlsgaard-Wallenius, Nick Møldrup Jakobsen, Oke Gerke, Jeanette Dupont Jensen, Marianne Ewertz, Malene Grubbe Hildebrandt, Marianne Vogsen
Publikováno v:
Journal of Imaging, Vol 9, Iss 10, p 222 (2023)
The study aimed to compare the metastatic pattern of breast cancer and the intermodality proportion of agreement between [18F]FDG-PET/CT and CE-CT. Women with metastatic breast cancer (MBC) were enrolled prospectively and underwent a combined [18F]FD
Externí odkaz:
https://doaj.org/article/01b92a915db6414286647950b39bca3e
Autor:
Iben Fasterholdt, Mohammad Naghavi-Behzad, Benjamin S. B. Rasmussen, Tue Kjølhede, Mette Maria Skjøth, Malene Grubbe Hildebrandt, Kristian Kidholm
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/f94a5e303a964f6d8208a2574fea49d4
Autor:
Annmarie Touborg Lassen, Jesper Ryg, Torben Knudsen, Vibeke Andersen, Torkell Ellingsen, Mohammad Naghavi-Behzad, Anna-Marie Bloch Münster, Aleksander Krag, Tahir Masud, Oke Gerke, Kim Brixen, Kirsten Kyvik, Kristian Kidholm, Malene Grubbe Hildebrandt, Jørgen Ejler Pedersen, Henrik J Ditzel, Annette Langhoff, Gert Nielsen
Publikováno v:
BMJ Open, Vol 12, Iss 6 (2022)
Externí odkaz:
https://doaj.org/article/1ab9980de7e64a0382c8fa0e07b1ecc0
Autor:
Mohammad Naghavi-Behzad, Marianne Vogsen, Oke Gerke, Sara Elisabeth Dahlsgaard-Wallenius, Henriette Juel Nissen, Nick Møldrup Jakobsen, Poul-Erik Braad, Mie Holm Vilstrup, Paul Deak, Malene Grubbe Hildebrandt, Thomas Lund Andersen
Publikováno v:
Journal of Imaging, Vol 9, Iss 3, p 65 (2023)
We compared the image quality and quantification parameters through bayesian penalized likelihood reconstruction algorithm (Q.Clear) and ordered subset expectation maximization (OSEM) algorithm for 2-[18F]FDG-PET/CT scans performed for response monit
Externí odkaz:
https://doaj.org/article/8012b73e0bab451481096e90a2ecdc9a
Autor:
Mohammad Naghavi-Behzad, Thomas Schmidt, Amin Naemi, Marjan Mansourvar, Ali Ebrahimi, Uffe Kock Wiil
Publikováno v:
BMJ Open, Vol 11, Iss 11 (2021)
Objectives This systematic review aimed to assess the performance and clinical feasibility of machine learning (ML) algorithms in prediction of in-hospital mortality for medical patients using vital signs at emergency departments (EDs).Design A syste
Externí odkaz:
https://doaj.org/article/5e93a9e93711486e983e2ebbc926cfbd
Autor:
Mahasti Alizadeh, Morteza Ghojazadeh, Reza Piri, Mohammad Mirza-Aghazadeh-Attari, Sahar Mohammadi, Mohammad Naghavi-Behzad
Publikováno v:
Iranian Journal of Public Health, Vol 50, Iss 8 (2021)
Background: Breast cancer is responsible for up to 25% of all cancers in Iran. The age at diagnosis of Iranian breast cancer patients starts a decade earlier than most of developed countries. This study aimed to evaluate the mean age at diagnosis of
Externí odkaz:
https://doaj.org/article/27c6afa899654c1ca406bef62b4ab5ba