Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Carolyn L, Wang"'
Autor:
Jeffrey C. Weinreb, Roger A. Rodby, Jerry Yee, Carolyn L. Wang, Derek Fine, Robert J. McDonald, Mark A. Perazella, Jonathan R. Dillman, Matthew S. Davenport
Publikováno v:
Kidney Medicine, Vol 3, Iss 1, Pp 142-150 (2021)
Inaugural consensus statements were developed and endorsed by the American College of Radiology (ACR) and National Kidney Foundation to improve and standardize the care of patients with kidney disease who have indication(s) to receive ACR-designated
Externí odkaz:
https://doaj.org/article/1fb4c15f3ac14b3d9717c8f3e6b91300
Autor:
Christopher W. Lewis, Jamiluddin Qazi, Daniel S. Hippe, Kristina Lachance, Hannah Thomas, Maclean M. Cook, Ilsa Juhlin, Neha Singh, Zoe Thuesmunn, Seesha R. Takagishi, Aubriana McEvoy, Coley Doolittle‐Amieva, Shailender Bhatia, Kelly G. Paulson, Ryan B. O'Malley, Carolyn L. Wang, Paul Nghiem
Publikováno v:
Cancer Medicine, Vol 9, Iss 4, Pp 1374-1382 (2020)
Abstract Approximately one‐third of Merkel cell carcinoma (MCC) patients eventually develop distant metastatic disease. Little is known about whether the location of the primary lesion is predictive of initial distant metastatic site, or if surviva
Externí odkaz:
https://doaj.org/article/cd52a0916ab148a6ba481cdfe0252487
Autor:
Ryan B. O’Malley, Danielle Cox, Erik V. Soloff, Mladen Zečević, Steven Green, Andrew Coveler, Janet M. Busey, Carolyn L. Wang
Publikováno v:
Abdominal Radiology. 47:3770-3781
Autor:
Carolyn L, Wang, Daniella, Asch, Joseph, Cavallo, Jonathan R, Dillman, James H, Ellis, Monica M, Forbes-Amrhein, Leah A, Gilligan, Pranay, Krishnan, Robert J, McDonald, Jennifer S, McDonald, Brian L, Murphy, Benjamin M, Mervak, Jeffrey H, Newhouse, Jay K, Pahade, Alisa, Sumkin, Jeffrey C, Weinreb, Stefanie, Weinstein, Matthew S, Davenport
Publikováno v:
Journal of the American College of Radiology. 19:849-853
Autor:
Ami Yamamoto, Yin Huang, Brad A. Krajina, Margaux McBirney, Andrea E. Doak, Sixuan Qu, Carolyn L. Wang, Michael C. Haffner, Kevin J. Cheung
Publikováno v:
Proceedings of the National Academy of Sciences. 120
Necrosis in the tumor interior is a common feature of aggressive cancers that is associated with poor clinical prognosis and the development of metastasis. How the necrotic core promotes metastasis remains unclear. Here, we report that emergence of n
Publikováno v:
Abdominal Radiology. 47:3003-3018
Advances in dual-energy CT (DECT) technology and spectral techniques are catalyzing the widespread implementation of this technology across multiple radiology subspecialties. The inclusion of energy- and material-specific datasets has ushered overall
Autor:
Achille Mileto, Daniel S. Hippe, Ryan B. O’Malley, Carolyn L. Wang, Jennifer Xiao, Mladen Zecevic, William P. Shuman, Manjiri Dighe, Giuseppe V Toia, Adam G. Chandler, Larry M Cai, D Zamora
Publikováno v:
Radiology. 298:611-619
Background Virtual unenhanced (VUE) images obtained by using a dual-energy CT (DECT) multimaterial decomposition algorithm hold promise for diagnostic use in the abdomen in lieu of true unenhanced (TUE) images. Purpose To assess VUE images obtained f
Autor:
Matthew S. Davenport, Jeffrey C. Weinreb, Derek M. Fine, Jerry Yee, Roger A. Rodby, Jonathan R. Dillman, Carolyn L. Wang, Robert J. McDonald, Mark A. Perazella
Publikováno v:
Kidney Medicine
Inaugural consensus statements were developed and endorsed by the American College of Radiology (ACR) and National Kidney Foundation to improve and standardize the care of patients with kidney disease who have indication(s) to receive ACR-designated
Autor:
Ami Yamamoto, Yin Huang, Brad A. Krajina, Margaux McBirney, Andrea E. Doak, Carolyn L. Wang, Michael C. Haffner, Kevin J. Cheung
Publikováno v:
Cancer Research. 83:B049-B049
Necrosis in the tumor interior is a common feature of aggressive cancers that is associated with poor clinical prognosis and the development of metastasis. However, how the necrotic core promotes tumor cell dissemination and metastasis remains unclea
Publikováno v:
Journal of Computer Assisted Tomography
Objective The aim of this study was to perform a meta-analysis assessing the diagnostic yield of computed tomography (CT) for the identification of coronavirus disease 2019 (COVID-19) using repeated reverse transcriptase polymerase chain reaction tes