Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mustafa R. Bashir"'
Autor:
Nina Bastati, Kathryn J. Fowler, Osamu Matsui, Ahmed Ba-Ssalamah, Mustafa R. Bashir, Deyali Chatterjee, Maria Zulfiqar, Elizabeth M. Hecht, Victoria Chernyak, Maxime Ronot, Norihide Yoneda, Claude B. Sirlin
Publikováno v:
Journal of magnetic resonance imaging : JMRI, vol 51, iss 6
Hepatocellular adenomas (HCAs) are benign hepatic tumors that can be complicated by bleeding and/or malignant transformation. The epidemiology of HCAs has changed over recent decades, primarily influenced by an increased incidence of obesity in both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de2f7cbf84244ec65101cd48bc499cd1
https://escholarship.org/uc/item/0rc2v5rc
https://escholarship.org/uc/item/0rc2v5rc
Autor:
Kathryn J. Fowler, Cynthia Santillan, Mustafa R. Bashir, Richard K. G. Do, Amber Mittendorf, Zhe Zhu, Claude B. Sirlin, Rikiya Yamashita
Publikováno v:
Abdominal radiology (New York), vol 45, iss 1
Abdom Radiol (NY)
Abdom Radiol (NY)
PURPOSE: To develop a deep convolutional neural network (CNN) model to categorize multiphase CT and MRI liver observations using the Liver Imaging Reporting and Data System (LI-RADS) (version 2014). METHODS: A pre-existing dataset comprising 314 hepa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79b186cc3af39d4b5cb37cfb2939012c
https://escholarship.org/uc/item/4jz2269p
https://escholarship.org/uc/item/4jz2269p
Autor:
Aya Kamaya, Sandeep Deshmukh, Ryan Ash, William R. Masch, An Tang, Joseph H. Yacoub, Claude B. Sirlin, Janio Szklaruk, Natally Horvat, Victoria Chernyak, Elizabeth M. Hecht, Ania Z. Kielar, Richard K. G. Do, James T. Lee, Matthew D. F. McInnes, Sandeep Arora, John P. McGahan, Alice W. Fung, Zahra Kassam, Humaira Chaudhry, Mohab M. Elmohr, Krishna Shanbhogue, Mustafa R. Bashir, Kedar Jambhekar, Venkateswar R. Surabhi, Bijan Bijan, Irene Cruite, Amita Kamath, Robert M. Marks, Khaled M. Elsayes, Donald G. Mitchell, Alessandro Furlan, Kathryn J. Fowler
Publikováno v:
Elsayes, KM; Kielar, AZ; Elmohr, MM; Chernyak, V; Masch, WR; Furlan, A; et al.(2018). White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI. Abdominal Radiology, 43(10), 2625-2642. doi: 10.1007/s00261-018-1744-4. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/6b135780
Abdominal radiology (New York), vol 43, iss 10
Abdominal radiology (New York), vol 43, iss 10
© 2018, Springer Science+Business Media, LLC, part of Springer Nature. The Liver Imaging and Reporting Data System (LI-RADS) is a comprehensive system for standardizing the terminology, technique, interpretation, reporting, and data collection of li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7bf72b6a3804d169e167437efe58ce
http://www.escholarship.org/uc/item/6b135780
http://www.escholarship.org/uc/item/6b135780
Autor:
An Tang, Reena C Jha, Claude B. Sirlin, Guilherme Moura Cunha, Hero K. Hussain, Mythreyi Bhargavan-Chatfield, Kathryn J. Fowler, Cynthia Santillan, Donald G. Mitchell, Mustafa R. Bashir, Laura Coombs, Tanya Wolfson, Benjamin M. Yeh, Giuseppe Brancatelli, Jeffrey C. Weinreb, Eduardo A. C. Costa, Jay P. Heiken, Anthony Gamst
Publikováno v:
Radiology, vol 286, iss 1
Fowler, KJ; Tang, A; Santillan, C; Bhargavan-Chatfield, M; Heiken, J; Jha, RC; et al.(2018). Interreader Reliability of LI-RADS Version 2014 Algorithm and Imaging Features for Diagnosis of Hepatocellular Carcinoma: A Large International Multireader Study. RADIOLOGY, 286(1), 173-185. doi: 10.1148/radiol.2017170376. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/3892c4b7
Fowler, KJ; Tang, A; Santillan, C; Bhargavan-Chatfield, M; Heiken, J; Jha, RC; et al.(2018). Interreader Reliability of LI-RADS Version 2014 Algorithm and Imaging Features for Diagnosis of Hepatocellular Carcinoma: A Large International Multireader Study. RADIOLOGY, 286(1), 173-185. doi: 10.1148/radiol.2017170376. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/3892c4b7
Purpose To determine in a large multicenter multireader setting the interreader reliability of Liver Imaging Reporting and Data System (LI-RADS) version 2014 categories, the major imaging features seen with computed tomography (CT) and magnetic reson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ce2be1833494a9ada945176ca9c82c1
https://escholarship.org/uc/item/3892c4b7
https://escholarship.org/uc/item/3892c4b7
Autor:
Adib R. Karam, Eric C. Ehman, An Tang, Kathryn J. Fowler, Amol Shah, Michael A. Ohliger, Irene Cruite, Richard K. G. Do, Claude B. Sirlin, Mustafa R. Bashir, Reena C Jha, Robert M. Marks, Christoph F. Dietrich, Tara A. Morgan, Hero K. Hussain, Donald G. Mitchell, Kim-Nhien Vu, Adrija Mamidipalli, Michael T. Corwin
Publikováno v:
Tang, A; Bashir, MR; Corwin, MT; Cruite, I; Dietrich, CF; Do, RKG; et al.(2018). Evidence supporting LI-RADS major features for CT-and MR imaging-based diagnosis of hepatocellular carcinoma: A systematic review. Radiology, 286(1), 29-48. doi: 10.1148/radiol.2017170554. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/0rc1j8rd
The Liver Imaging Reporting and Data System (LI-RADS) standardizes the interpretation, reporting, and data collection for imaging examinations in patients at risk for hepatocellular carcinoma (HCC). It assigns category codes reflecting relative proba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c07fc352e0e6411fa97b2b5520638a78
http://www.escholarship.org/uc/item/0rc1j8rd
http://www.escholarship.org/uc/item/0rc1j8rd
Publikováno v:
Sirlin, CB; Kielar, AZ; Tang, A; & Bashir, MR. (2018). LI-RADS: a glimpse into the future. ABDOMINAL RADIOLOGY, 43(1), 231-236. doi: 10.1007/s00261-017-1448-1. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/25h5s9td
Abdominal radiology (New York), vol 43, iss 1
Abdominal radiology (New York), vol 43, iss 1
This article provides a glimpse into the future of the Liver Imaging Reporting and Data System (LI-RADS), discussing the immediate and long-term plans for its continuing improvement and expansion. To complement the Core and Essentials components of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee12eabf4e051fe22b8b6f436f7f58f8
http://www.escholarship.org/uc/item/25h5s9td
http://www.escholarship.org/uc/item/25h5s9td
Autor:
Donald G. Mitchell, An Tang, Richard K. G. Do, Victoria Chernyak, Michelle M. Agrons, Khaled M. Elsayes, Kathryn J. Fowler, Elizabeth M. Hecht, Claude B. Sirlin, Ania Z. Kielar, Jonathan Hooker, Mustafa R. Bashir, Yuko Kono, Aya Kamaya
Publikováno v:
Radiographics : a review publication of the Radiological Society of North America, Inc, vol 37, iss 7
Elsayes, KM; Hooker, JC; Agrons, MM; Kielar, AZ; Tang, A; Fowler, KJ; et al.(2017). 2017 Version of LI-RADS for CT and MR Imaging: An Update. RADIOGRAPHICS, 37(7), 1994-2017. doi: 10.1148/rg.2017170098. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/8x4682wr
Elsayes, KM; Hooker, JC; Agrons, MM; Kielar, AZ; Tang, A; Fowler, KJ; et al.(2017). 2017 Version of LI-RADS for CT and MR Imaging: An Update. RADIOGRAPHICS, 37(7), 1994-2017. doi: 10.1148/rg.2017170098. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/8x4682wr
The Liver Imaging Reporting and Data System (LI-RADS) is a reporting system created for the standardized interpretation of liver imaging findings in patients who are at risk for hepatocellular carcinoma (HCC). This system was developed with the coope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddc01579703977b8937785550be69c87
https://escholarship.org/uc/item/8x4682wr
https://escholarship.org/uc/item/8x4682wr
Autor:
Mustafa R. Bashir, Michiie Sakamoto, Sheng Long Ye, Mengsu Zeng, Carlo Bartolozzi, Elmar M. Merkle, Claude B. Sirlin, Christoph J. Zech, Ahmed Ba-Ssalamah, Alexander Huppertz, Jens Ricke, Jeong Min Lee
Publikováno v:
European radiology, vol 26, iss 3
European Radiology
Merkle, EM; Zech, CJ; Bartolozzi, C; Bashir, MR; Ba-Ssalamah, A; Huppertz, A; et al.(2015). Consensus report from the 7th International Forum for Liver Magnetic Resonance Imaging. European Radiology. doi: 10.1007/s00330-015-3873-2. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/04f3p1rv
European Radiology
Merkle, EM; Zech, CJ; Bartolozzi, C; Bashir, MR; Ba-Ssalamah, A; Huppertz, A; et al.(2015). Consensus report from the 7th International Forum for Liver Magnetic Resonance Imaging. European Radiology. doi: 10.1007/s00330-015-3873-2. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/04f3p1rv
© 2015 The Author(s) Objectives: Liver-specific MRI is a fast-growing field, with technological and protocol advancements providing more robust imaging and allowing a greater depth of information per examination. This article reports the evidence fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2af5573b79feb4d5fd9bda9bdb512468
https://escholarship.org/uc/item/04f3p1rv
https://escholarship.org/uc/item/04f3p1rv