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Sep 18, 2017 (publication date) through Apr 24, 2024
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Publication Name
World Journal of Hepatology
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1948-5182
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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Shenoy-Bhangle A, Baliyan V, Kordbacheh H, Guimaraes AR, Kambadakone A. Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates. World J Hepatol 2017; 9(26): 1081-1091 [PMID: 28989564 DOI: 10.4254/wjh.v9.i26.1081] |
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| URL: | https://www.wjgnet.com/1948-5182/full/v9/i26/1081.htm |
| Number | Citing Articles |
| 1 |
Diana Feier, Delia Muntean, Nina Bastati, Ahmed Ba-Ssalamah. Nonalcoholic Fatty Liver Disease - An Update. 2019; doi: 10.5772/intechopen.82096
|
| 2 |
Kim C. Ohaegbulam, Yilun Koethe, Alice Fung, Skye C. Mayo, Aaron J. Grossberg, Emerson Y. Chen, Kaveh Sharzehi, Adel Kardosh, Khashayar Farsad, Flavio G. Rocha, Charles R. Thomas, Nima Nabavizadeh. The multidisciplinary management of cholangiocarcinoma. Cancer 2023; 129(2): 184 doi: 10.1002/cncr.34541
|
| 3 |
Vinit Baliyan, Hamed Kordbacheh, Anushri Parakh, Avinash Kambadakone. Response assessment in pancreatic ductal adenocarcinoma: role of imaging. Abdominal Radiology 2018; 43(2): 435 doi: 10.1007/s00261-017-1434-7
|
| 4 |
Sung Hwan Bae, Jiyoung Hwang, Seong Sook Hong, Eun Ji Lee, Jewon Jeong, Thomas Benkert, JaeKon Sung, Simon Arberet. Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: Comparison with conventional diffusion weighted imaging. European Journal of Radiology 2022; 154: 110428 doi: 10.1016/j.ejrad.2022.110428
|
| 5 |
Temel Fatih Yilmaz, Mehmet Ali Gultekin, Hacı Mehmet Turk, Mehmet Besiroglu, Dilek Hacer Cesme, Melih Simsek, Alpay Alkan, Huseyin Toprak. Diagnostic performance of apparent diffusion coefficient values for the differentiation of intrahepatic cholangiocarcinoma from gastrointestinal adenocarcinoma liver metastases. Radiology and Oncology 2021; 56(1): 54 doi: 10.2478/raon-2021-0052
|
| 6 |
Maike Bode, Shuo Zhang, Mark N. Terwolbeck, Caroline Molavi Tabrizi, Paul Sprenger, Masami Yoneyama, Nils A. Kraemer, Christiane K. Kuhl, Alexandra Barabasch. Liver diffusion-weighted MR imaging with L1-regularized iterative sensitivity encoding reconstruction based on single-shot echo-planar imaging: initial clinical experience. Scientific Reports 2022; 12(1) doi: 10.1038/s41598-022-16324-x
|
| 7 |
Jun Liu, Yigang Pei, Yu Zhang, Yifan Wu, Fuquan Liu, Shanzhi Gu. Predicting the prognosis of hepatocellular carcinoma with the treatment of transcatheter arterial chemoembolization combined with microwave ablation using pretreatment MR imaging texture features. Abdominal Radiology 2021; 46(8): 3748 doi: 10.1007/s00261-020-02891-y
|
| 8 |
Simin Xie, Ismail Bilal Masokano, Wenguang Liu, Xueying Long, Guijin Li, Yigang Pei, Wenzheng Li. Comparing the clinical utility of single-shot echo-planar imaging and readout-segmented echo-planar imaging in diffusion-weighted imaging of the liver at 3 tesla. European Journal of Radiology 2021; 135: 109472 doi: 10.1016/j.ejrad.2020.109472
|
| 9 |
Mihaela Rata, Katja N. De Paepe, Matthew R. Orton, Francesca Castagnoli, James d’Arcy, Jessica M. Winfield, Julie Hughes, Alto Stemmer, Marcel Dominik Nickel, Dow-Mu Koh. Evaluation of simultaneous multi-slice acquisition with advanced processing for free-breathing diffusion-weighted imaging in patients with liver metastasis. European Radiology 2023; 34(4): 2457 doi: 10.1007/s00330-023-10234-w
|
| 10 |
Gabriela Półtorak-Szymczak, Tadeusz Budlewski, Mariusz Ireneusz Furmanek, Waldemar Wierzba, Katarzyna Sklinda, Jerzy Walecki, Bartosz Mruk. Radiological Imaging of Gastro-Entero-Pancreatic Neuroendocrine Tumors. The Review of Current Literature Emphasizing the Diagnostic Value of Chosen Imaging Methods. Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.670233
|
| 11 |
Serdar Serinsöz, Remzi Aktürk. Comparison of Imaging Modalities in the Diagnosis and Tumor Staging of
Colorectal Adenocarcinoma. Current Medical Imaging Formerly Current Medical Imaging Reviews 2023; 19(6) doi: 10.2174/1573405619666221209114218
|
| 12 |
Dong Hwan Kim, Bohyun Kim, Hyun-Soo Lee, Thomas Benkert, Hokun Kim, Joon-Il Choi, Soon Nam Oh, Sung Eun Rha. Deep Learning–Accelerated Liver Diffusion-Weighted Imaging. Investigative Radiology 2023; 58(11): 782 doi: 10.1097/RLI.0000000000000988
|
| 13 |
Hamed Kordbacheh, Ravi Teja Seethamraju, Elisabeth Weiland, Berthold Kiefer, Marcel Dominik Nickel, Thitinan Chulroek, Martina Cecconi, Vinit Baliyan, Mukesh G. Harisinghani. Image quality and diagnostic accuracy of complex-averaged high b value images in diffusion-weighted MRI of prostate cancer. Abdominal Radiology 2019; 44(6): 2244 doi: 10.1007/s00261-019-01961-0
|
| 14 |
Giovanni Morana, Alessandro Beleù, Luca Geraci, Luisa Tomaiuolo, Silvia Venturini. Imaging of the Liver and Pancreas: The Added Value of MRI. Diagnostics 2024; 14(7): 693 doi: 10.3390/diagnostics14070693
|
| 15 |
Andrés Dominguez, Daniel Fino, Juan Carlos Spina, Nicolas Moyano Brandi, Joaquín Capó, Maximiliano Noceti, Pedro Pablo Ariza, Guilherme Moura Cunha. Assessment of SE-MRE-derived shear stiffness at 3.0 Tesla for solid liver tumors characterization. Abdominal Radiology 2021; 46(5): 1904 doi: 10.1007/s00261-020-02828-5
|
| 16 |
Han-xiong Guan, Yue-ying Pan, Yu-jin Wang, Da-zong Tang, Shu-chang Zhou, Li-ming Xia. Comparison of Various Parameters of DWI in Distinguishing Solitary Pulmonary Nodules. Current Medical Science 2018; 38(5): 920 doi: 10.1007/s11596-018-1963-5
|
| 17 |
Heba H. Goda, Abd Elkareem H. AbdAllah, Eman A. Ahmed, Hassan I. Megally, Marwa I. Khalaf, Ahmed M. Taha, Hosam Eldeen G. Mohamed. Whole body diffusion-weighted MRI in detection of metastasis and lymphoma: a prospective longitudinal clinical study. Egyptian Journal of Radiology and Nuclear Medicine 2020; 51(1) doi: 10.1186/s43055-020-00231-0
|
| 18 |
Jingtong Xiong, Jiawen Luo, Jie Bian, Jianlin Wu. Overall diagnostic accuracy of different MR imaging sequences for detection of dysplastic nodules: a systematic review and meta-analysis. European Radiology 2022; 32(2): 1285 doi: 10.1007/s00330-021-08022-5
|
| 19 |
Wu Zhou, Guangyi Wang, Guoxi Xie, Lijuan Zhang. Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b‐values using convolutional neural networks. Medical Physics 2019; 46(9): 3951 doi: 10.1002/mp.13642
|
| 20 |
Qingyuan Zeng, Baoer Liu, Yikai Xu, Wu Zhou. An attention-based deep learning model for predicting microvascular invasion of hepatocellular carcinoma using an intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging. Physics in Medicine & Biology 2021; 66(18): 185019 doi: 10.1088/1361-6560/ac22db
|
| 21 |
Natally Horvat, Serena Monti, Brunna Clemente Oliveira, Camila Carlos Tavares Rocha, Romina Grazia Giancipoli, Lorenzo Mannelli. Reply to comments on “State of the art in magnetic resonance imaging of hepatocellular carcinoma”: the role of DWI. Radiology and Oncology 2019; 53(3): 371 doi: 10.2478/raon-2019-0030
|
| 22 |
Narine Mesropyan, Petra Mürtz, Alois M. Sprinkart, Wolfgang Block, Julian A. Luetkens, Ulrike Attenberger, Claus C. Pieper. Comparison of different ROI analysis methods for liver lesion characterization with simplified intravoxel incoherent motion (IVIM). Scientific Reports 2021; 11(1) doi: 10.1038/s41598-021-01108-6
|
| 23 |
Jiaoyan Wang, Xue Zhou, Mingrong Yao, Wenli Tan, Songhua Zhan, Kun Liu, Zhen Feng, Huamei Yan, Yongming Dai, Jie Yuan. Comparison and optimization of b value combinations for diffusion-weighted imaging in discriminating hepatic fibrosis. Abdominal Radiology 2024; 49(4): 1113 doi: 10.1007/s00261-023-04159-7
|
| 24 |
O. Barachini, R. Bernt, S. Mirzaei, C. Pirich, K. Hergan, S. Zandieh. The impact of 18F-FDOPA-PET/MRI image fusion in detecting liver metastasis in patients with neuroendocrine tumors of the gastrointestinal tract. BMC Medical Imaging 2020; 20(1) doi: 10.1186/s12880-020-00424-z
|
| 25 |
Tim A. Labeur, Jurgen H. Runge, Elisabeth G. Klompenhouwer, Heinz-Josef Klümpen, R. Bart Takkenberg, Otto M. van Delden. Diffusion-weighted imaging of hepatocellular carcinoma before and after transarterial chemoembolization: role in survival prediction and response evaluation. Abdominal Radiology 2019; 44(8): 2740 doi: 10.1007/s00261-019-02030-2
|
| 26 |
Yigang Pei, Siming Xie, Wenzheng Li, Xianjing Peng, Qin Qin, Qian Ye, Mengsi Li, Jiaxi Hu, Jiale Hou, Guijing Li, Shuo Hu. Evaluation of simultaneous-multislice diffusion-weighted imaging of liver at 3.0 T with different breathing schemes. Abdominal Radiology 2020; 45(11): 3716 doi: 10.1007/s00261-020-02538-y
|
| 27 |
Chien-Chang Liao, Yu-Fan Cheng, Chun-Yen Yu, Leung-Chit Leo Tsang, Chao-Long Chen, Hsien-Wen Hsu, Wan-Ching Chang, Wei-Xiong Lim, Yi-Hsuan Chuang, Po-Hsun Huang, Hsin-You Ou. A Scoring System for Predicting Microvascular Invasion in Hepatocellular Carcinoma Based on Quantitative Functional MRI. Journal of Clinical Medicine 2022; 11(13): 3789 doi: 10.3390/jcm11133789
|
| 28 |
Tarek Besheer, Hatem Elalfy, Mohamed Abd El-Maksoud, Ahmed Abd El-Razek, Saher Taman, Khaled Zalata, Wagdy Elkashef, Hossam Zaghloul, Heba Elshahawy, Doaa Raafat, Wafaa Elemshaty, Eman Elsayed, Abdel-Hady El-Gilany, Mahmoud El-Bendary. Diffusion-weighted magnetic resonance imaging and micro-RNA in the diagnosis of hepatic fibrosis in chronic hepatitis C virus. World Journal of Gastroenterology 2019; 25(11): 1366-1377 doi: 10.3748/wjg.v25.i11.1366
|
| 29 |
Su Hu, Chong Sun, Bin Wang, Kang Zhou, Liang Pan, Junjie Shangguan, Jia Yang, Vahid Yaghmai, Matteo Figini, Zhuoli Zhang. Diffusion-Weighted MR Imaging to Evaluate Immediate Response to Irreversible Electroporation in a Rabbit VX2 Liver Tumor Model. Journal of Vascular and Interventional Radiology 2019; 30(11): 1863 doi: 10.1016/j.jvir.2019.05.030
|
| 30 |
Eda ALBAYRAK, Özge GÜMÜŞAY, Sadık SERVER. Diagnostic Value of Target Sign and Apparent Diffusion Coefficient Measurements in the Differentiation between Hepatocelular Carcinoma and Liver Metastasis on Diffusion Weighted Magnetic Resonance Imaging. Journal of Contemporary Medicine 2023; 13(3): 473 doi: 10.16899/jcm.1268072
|
| 31 |
Ghoncheh Amouzandeh, Thomas L. Chenevert, Scott D. Swanson, Brian D. Ross, Dariya I. Malyarenko. Technical note: Temperature and concentration dependence of water diffusion in polyvinylpyrrolidone solutions. Medical Physics 2022; 49(5): 3325 doi: 10.1002/mp.15556
|
| 32 |
Maxime Ablefoni, Hans Surup, Constantin Ehrengut, Aaron Schindler, Daniel Seehofer, Timm Denecke, Hans-Jonas Meyer. Diagnostic Benefit of High b-Value Computed Diffusion-Weighted Imaging in Patients with Hepatic Metastasis. Journal of Clinical Medicine 2021; 10(22): 5289 doi: 10.3390/jcm10225289
|
| 33 |
Khalid W. Shaqdan, Ali Pourvaziri, Dushyant V. Sahani. Colorectal Cancer Liver Metastases. 2020; : 49 doi: 10.1007/978-3-030-25486-5_5
|
| 34 |
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
|
| 35 |
Zheng Ye, Shan Yao, Ting Yang, Qing Li, Zhenlin Li, Bin Song. Abdominal Diffusion‐Weighted MRI With Simultaneous Multi‐Slice Acquisition: Agreement and Reproducibility of Apparent Diffusion Coefficients Measurements. Journal of Magnetic Resonance Imaging 2024; 59(4): 1170 doi: 10.1002/jmri.28876
|
| 36 |
Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro. Using multiple network alignment for studying connectomes. Network Modeling Analysis in Health Informatics and Bioinformatics 2019; 8(1) doi: 10.1007/s13721-019-0182-8
|
| 37 |
Carlo Smirne, Eleonora Croce, Davide Di Benedetto, Vincenzo Cantaluppi, Cristoforo Comi, Pier Paolo Sainaghi, Rosalba Minisini, Elena Grossini, Mario Pirisi. Oxidative Stress in Non-Alcoholic Fatty Liver Disease. Livers 2022; 2(1): 30 doi: 10.3390/livers2010003
|
| 38 |
Naik Vietti Violi, Sara Lewis, Stefanie Hectors, Daniela Said, Bachir Taouli. Hepatocellular Carcinoma. Molecular and Translational Medicine 2019; : 71 doi: 10.1007/978-3-030-21540-8_4
|
| 39 |
Johannes Thüring, Christiane Katharina Kuhl, Alexandra Barabasch, Lea Hitpass, Maike Bode, Nina Bünting, Philipp Bruners, Nils Andreas Krämer, Michael C Burger. Signal changes in T2-weighted MRI of liver metastases under bevacizumab—A practical imaging biomarker?. PLOS ONE 2020; 15(3): e0230553 doi: 10.1371/journal.pone.0230553
|
| 40 |
Jing Tang, Fengyong Liu, Hongjun Yuan, Xin Li, Xiaomei Tian, Kan Ji, Xueping Li, Wei Wang. <p>Pretreatment Apparent Diffusion Coefficient as a Predictor of Response to Transcatheter Arterial Chemoembolization Immediately Combined with Radiofrequency Ablation for Treatment of Solitary Large Hepatocellular Carcinoma</p>. Cancer Management and Research 2020; : 10127 doi: 10.2147/CMAR.S270470
|