BPG is committed to discovery and dissemination of knowledge
Home / Archive / Volume 9, Issue 14
This Article
Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
  • Total Article Views (10373)
All Articles published online
The chart showing PDF series, WORD series, HTML series, Figures (1-3) series, Tables (1-3) series.
Item 
Count 
PDF416
WORD250
HTML3387
Figures (1-3)341
Tables (1-3)233
 Sum=4627
Featured Article
The chart showing Browse series, Download series.
Item 
Count 
Browse647
Download1545
 Sum=2192
Publishing Process of This Article
The chart showing Browse series, Download series.
Item 
Count 
Browse1117
Download2437
 Sum=3554
May 18, 2017 (publication date) through Nov 23, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Hepatology
ISSN
1948-5182
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef
For: Takayama Y, Nishie A, Asayama Y, Ishigami K, Kakihara D, Ushijima Y, Fujita N, Shirabe K, Takemura A, Honda H. Image quality and diagnostic performance of free-breathing diffusion-weighted imaging for hepatocellular carcinoma. World J Hepatol 2017; 9(14): 657-666 [PMID: 28588750 DOI: 10.4254/wjh.v9.i14.657]
URL: https://www.wjgnet.com/1948-5182/full/v9/i14/657.htm
Number Citing Articles
1
S. Bickelhaupt, C. Dreher, F. König, K. Deike-Hofmann, D. Paech, H. P. Schlemmer, T. A. Kuder. Diffusionsbildgebung – diagnostische Erweiterung oder Ersatz von Kontrastmitteln in der Früherkennung von Malignomen?. Der Radiologe 2019; 59(6): 517 doi: 10.1007/s00117-019-0532-7
2
Constantin Dreher, Tristan Anselm Kuder, Franziska König, Daniel Paech, Andrej Tavakoli, Frederik Bernd Laun, Florian Flothow, Regula Gnirs, Thomas Benkert, Dominik Nickel, Ralf Strecker, Heinz-Peter Schlemmer, Sebastian Bickelhaupt. Modulating Diffusion-Weighted Magnetic Resonance Imaging for Screening in Oncologic Tertiary Prevention. Investigative Radiology 2019; 54(11): 704 doi: 10.1097/RLI.0000000000000596
3
Wei Mao, Xiaoqiang Ding, Yuqin Ding, Caixia Fu, Mengsu Zeng, Jianjun Zhou. Does Bi-exponential Fitting Perform better than Mono-exponential Fitting in IVIM-DWI? An Assessment of Renal Pathological Injury of IgA Nephropathy. Current Medical Imaging Reviews 2023; 20(1) doi: 10.2174/1573405620666230627103919
4
Yukihisa Takayama, Keisuke Sato, Shinji Tanaka, Ryo Murayama, Ryotaro Jingu, Kengo Yoshimitsu. Effectiveness of deep learning-based reconstruction for improvement of image quality and liver tumor detectability in the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging. Abdominal Radiology 2024; 49(10): 3450 doi: 10.1007/s00261-024-04374-w
5
Fan Chen, Yan-li Chen, Tian-wu Chen, Rui Li, Yu Pu, Xiao-ming Zhang, Hong-jun Li, Sun Tang, Jin-ming Cao, Jian-qiong Yang. Liver lobe based intravoxel incoherent motion diffusion weighted imaging in hepatitis B related cirrhosis: Association with child-pugh class and esophageal and gastric fundic varices. Medicine 2020; 99(2): e18671 doi: 10.1097/MD.0000000000018671
6
Constantin Dreher, Tristan Anselm Kuder, Franziska König, Daniel Paech, Andrej Tavakoli, Frederik Bernd Laun, Florian Flothow, Regula Gnirs, Thomas Benkert, Ralph Strecker, Heinz-Peter Schlemmer, Sebastian Bickelhaupt. Advanced Diffusion-Weighted Abdominal Imaging. Investigative Radiology 2020; 55(5): 285 doi: 10.1097/RLI.0000000000000639
7
Omar Kamal, Maryam Haghshomar, Jessica Yang, Tasneem Lalani, Bijan Bijan, Vahid Yaghmai, Mishal Mendiratta-Lala, Cheng William Hong, Kathryn J. Fowler, Claude B. Sirlin, Avinash Kambadakone, James Lee, Amir A. Borhani, Alice Fung. CT/MRI technical pitfalls for diagnosis and treatment response assessment using LI-RADS and how to optimize. Abdominal Radiology 2024;  doi: 10.1007/s00261-024-04632-x
8
Omar Kamal, Ethan Sy, Victoria Chernyak, Ayushi Gupta, Vahid Yaghmai, Kathryn Fowler, Dimitrios Karampinos, Krishna Shanbhogue, Frank H. Miller, Avinash Kambadakone, Alice Fung. Optional MRI sequences for LI-RADS: why, what, and how?. Abdominal Radiology 2022; 48(2): 519 doi: 10.1007/s00261-022-03726-8
9
Davide Ippolito, Riccardo Inchingolo, Luigi Grazioli, Silvia Girolama Drago, Michele Nardella, Marco Gatti, Riccardo Faletti. Recent advances in non-invasive magnetic resonance imaging assessment of hepatocellular carcinoma. World Journal of Gastroenterology 2018; 24(23): 2413-2426 doi: 10.3748/wjg.v24.i23.2413
10
Yukihisa Takayama, Keisuke Sato, Shinji Tanaka, Ryo Murayama, Nahoko Goto, Kengo Yoshimitsu. Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas. World Journal of Radiology 2023; 15(12): 338-349 doi: 10.4329/wjr.v15.i12.338
Write to the Help Desk
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

California Corporate Number: 3537345