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Cited by in CrossRef
For: Chung JC, Naik NK, Lewandowski RJ, Deng J, Mulcahy MF, Kulik LM, Sato KT, Ryu RK, Salem R, Larson AC, Omary RA. Diffusion-weighted magnetic resonance imaging to predict response of hepatocellular carcinoma to chemoembolization. World J Gastroenterol 2010; 16(25): 3161-3167 [PMID: 20593501 DOI: 10.3748/wjg.v16.i25.3161]
URL: https://www.wjgnet.com/1948-5182/full/v16/i25/3161.htm
Number Citing Articles
1
Zhijun Wang, Rongxin Chen, Rafael Duran, Yan Zhao, Gayane Yenokyan, Julius Chapiro, Rüdiger Schernthaner, Alessandro Radaelli, MingDe Lin, Jean-François Geschwind. Intraprocedural 3D Quantification of Lipiodol Deposition on Cone-Beam CT Predicts Tumor Response After Transarterial Chemoembolization in Patients with Hepatocellular CarcinomaCardioVascular and Interventional Radiology 2015; 38(6): 1548 doi: 10.1007/s00270-015-1129-9
2
Nicholas Fidelman, Aliya Qayyum. Pretransplant prediction of microvascular invasion in patients with hepatocellular carcinoma: Added value of diffusion-weighted magnetic resonance imagingLiver Transplantation 2012; 18(10): 1131 doi: 10.1002/lt.23536
3
Julien Edeline, Eveline Boucher, Yan Rolland, Elodie Vauléon, Marc Pracht, Christophe Perrin, Catherine Le Roux, Jean‐Luc Raoul. Comparison of tumor response by Response Evaluation Criteria in Solid Tumors (RECIST) and modified RECIST in patients treated with sorafenib for hepatocellular carcinomaCancer 2012; 118(1): 147 doi: 10.1002/cncr.26255
4
Kumar Sandrasegaran. Functional MR Imaging of the AbdomenRadiologic Clinics of North America 2014; 52(4): 883 doi: 10.1016/j.rcl.2014.02.018
5
A.H. Afifi, A.M. Naguib, F. Seragaldin. Diffusion weighted magnetic resonance imaging in assessment of hepatocellular carcinoma after chemoembolizationThe Egyptian Journal of Radiology and Nuclear Medicine 2016; 47(1): 61 doi: 10.1016/j.ejrnm.2015.10.008
6
Zhixin Wang, Kai Qu, Zhichao Huang, Xinsen Xu, Jingyao Zhang, Li Zhang, Sinan Liu, Hulin Chang, Ting Lin, Yamin Liu, Wenquan Niu, Chang Liu. Glutathione S-transferase O2 gene rs157077 polymorphism predicts response to transarterial chemoembolization in hepatocellular carcinomaTumor Biology 2015; 36(8): 6463 doi: 10.1007/s13277-015-3336-z
7
Dingxin Wang, Ron C. Gaba, Brian Jin, Ahsun Riaz, Robert J. Lewandowski, Robert K. Ryu, Kent T. Sato, Ann B. Ragin, Laura M. Kulik, Mary F. Mulcahy, Riad Salem, Andrew C. Larson, Reed A. Omary. Intraprocedural Transcatheter Intra-arterial Perfusion MRI as a Predictor of Tumor Response to Chemoembolization for Hepatocellular CarcinomaAcademic Radiology 2011; 18(7): 828 doi: 10.1016/j.acra.2011.02.016
8
Yang Zhou, XiaoLin Wang, Chen Xu, GuoFeng Zhou, MengSu Zeng, PengJu Xu. Hepatic pseudolymphoma: imaging features on dynamic contrast-enhanced MRI and diffusion-weighted imagingAbdominal Radiology 2018; 43(9): 2288 doi: 10.1007/s00261-018-1468-5
9
Mélanie Chiaradia, Laurence Baranes, Frederic Pigneur, Marjan Djabbari, Benhalima Zegai, Pierre Brugières, Pierre Zerbib, Thomas Decaens, Jean-François Deux, Hicham Kobeiter, Alain Rahmouni, Alain Luciani. Liver magnetic resonance diffusion weighted imaging: 2011 updateClinics and Research in Hepatology and Gastroenterology 2011; 35(8-9): 539 doi: 10.1016/j.clinre.2011.05.001
10
Mohammed Mostafa Sayed Mostafa. Diffusion weighted and dynamic contrast enhanced magnetic resonance imaging in assessment of malignant liver tumors after percutaneous radiofrequency ablationThe Egyptian Journal of Radiology and Nuclear Medicine 2016; 47(4): 1195 doi: 10.1016/j.ejrnm.2016.08.017
11
Walter Hundt, Silke Steinbach, Caitlin E. O'Connell‐Rodwell, Dirk Mayer, Mykhaylo Burbelko, Samira Guccione. In vivo monitoring of antiangiogenic therapy by magnetic resonance and bioluminescence imaging in an M21 tumor model through activation of an hsp70 promoter–luciferase reporter constructContrast Media & Molecular Imaging 2012; 7(5): 450 doi: 10.1002/cmmi.1472
12
C. J. Galbán, B. A. Hoff, T. L. Chenevert, B. D. Ross. Diffusion MRI in early cancer therapeutic response assessmentNMR in Biomedicine 2017; 30(3) doi: 10.1002/nbm.3458
13
Nima Kokabi, Juan C. Camacho, Minzhi Xing, Faramarz Edalat, Pardeep K. Mittal, Hyun S. Kim. Immediate post‐doxorubicin drug‐eluting beads chemoembolization Mr Apparent diffusion coefficient quantification predicts response in unresectable hepatocellular carcinoma: A pilot studyJournal of Magnetic Resonance Imaging 2015; 42(4): 981 doi: 10.1002/jmri.24845
14
Xiao-Dan Ye, Zuguo Yuan, Jian Zhang, Zheng Yuan. Radiological biomarkers for assessing response to locoregional therapies in hepatocellular carcinoma: From morphological to functional imagingOncology Reports 2017; 37(3): 1337 doi: 10.3892/or.2017.5420
15
Maximilian Lahrsow, Moritz H. Albrecht, Matthew W. Bickford, Thomas J. Vogl. Predicting Treatment Response of Colorectal Cancer Liver Metastases to Conventional Lipiodol-Based Transarterial Chemoembolization Using Diffusion-Weighted MR Imaging: Value of Pretreatment Apparent Diffusion Coefficients (ADC) and ADC Changes Under TherapyCardioVascular and Interventional Radiology 2017; 40(6): 852 doi: 10.1007/s00270-017-1634-0
16
Roberto Cannella, Riccardo Sartoris, Jules Grégory, Lorenzo Garzelli, Valérie Vilgrain, Maxime Ronot, Marco Dioguardi Burgio. Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practiceThe British Journal of Radiology 2021; 94(1122): 20210220 doi: 10.1259/bjr.20210220
17
Dushyant V Sahani, Tao Jiang, Koichi Hayano, Dan G Duda, Onofrio A Catalano, Marek Ancukiewicz, Rakesh K Jain, Andrew X Zhu. Magnetic resonance imaging biomarkers in hepatocellular carcinoma: association with response and circulating biomarkers after sunitinib therapyJournal of Hematology & Oncology 2013; 6(1) doi: 10.1186/1756-8722-6-51
18
Antonio Luna, Shivani Pahwa, Claudio Bonini, Lidia Alcalá-Mata, Katherine L. Wright, Vikas Gulani. Multiparametric MR Imaging in Abdominal MalignanciesMagnetic Resonance Imaging Clinics of North America 2016; 24(1): 157 doi: 10.1016/j.mric.2015.08.005
19
Romaric Loffroy, MingDe Lin, Gayane Yenokyan, Pramod P. Rao, Nikhil Bhagat, Niels Noordhoek, Alessandro Radaelli, Järl Blijd, Eleni Liapi, Jean-François Geschwind. Intraprocedural C-Arm Dual-Phase Cone-Beam CT: Can It Be Used to Predict Short-term Response to TACE with Drug-eluting Beads in Patients with Hepatocellular Carcinoma?Radiology 2013; 266(2): 636 doi: 10.1148/radiol.12112316
20
Kate Steiner, Anthie Papadopoulou, Dominic Yu. The Role of Interventional Radiology in the Treatment of Hepatocellular CarcinomaSeminars in Ultrasound, CT and MRI 2013; 34(1): 89 doi: 10.1053/j.sult.2012.11.008
21
Brian D. Ross, Thomas L. Chenevert. Molecular Imaging2021; : 1091 doi: 10.1016/B978-0-12-816386-3.00068-5
22
Susanne Bonekamp, Vivek Gowdra Halappa, Jean-François H. Geschwind, Zhen Li, Celia Pamela Corona-Villalobos, Diane Reyes, Nikhil Bhagat, David P. Cosgrove, Timothy M. Pawlik, Esteban Mezey, John Eng, Ihab R. Kamel. Unresectable Hepatocellular Carcinoma: MR Imaging after Intraarterial Therapy. Part II. Response Stratification Using Volumetric Functional Criteria after Intraarterial TherapyRadiology 2013; 268(2): 431 doi: 10.1148/radiol.13121637
23
Jules Gregory, Marco Dioguardi Burgio, Giuseppe Corrias, Valérie Vilgrain, Maxime Ronot. Evaluation of liver tumour response by imagingJHEP Reports 2020; 2(3): 100100 doi: 10.1016/j.jhepr.2020.100100
24
Walter Hundt, Silke Steinbach, Dirk Mayer, Mykhaylo Burbelko, Andreas Kiessling, Jens Figiel, Samira Guccione. Magnetic resonance-imaging of the effect of targeted antiangiogenic gene delivery in a melanoma tumour modelEuropean Radiology 2015; 25(4): 1107 doi: 10.1007/s00330-014-3492-3
25
S. Delumeau, J. Lebigot, C. Ridereau-Zins, A. Bouvier, J. Boursier, C. Aubé. Aspects et évaluation post-thérapeutiques des lésions du foie après traitement non chirurgicalJournal de Radiologie 2011; 92(7-8): 632 doi: 10.1016/j.jradio.2011.04.014
26
Rasha S. Hussein, Wahid Tantawy, Yasser A. Abbas. MRI assessment of hepatocellular carcinoma after locoregional therapyInsights into Imaging 2019; 10(1) doi: 10.1186/s13244-019-0690-1
27
Nima Kokabi, Johannes M. Ludwig, Juan C. Camacho, Minzhi Xing, Pardeep K. Mittal, Hyun S. Kim. Baseline and Early MR Apparent Diffusion Coefficient Quantification as a Predictor of Response of Unresectable Hepatocellular Carcinoma to Doxorubicin Drug-Eluting Bead ChemoembolizationJournal of Vascular and Interventional Radiology 2015; 26(12): 1777 doi: 10.1016/j.jvir.2015.08.023
28
Antonio Luna, Guilherme Moura Cunha, Rocío Sánchez-Sánchez, Antonio Rodriguez-Fernández. Functional Imaging in Oncology2014; : 951 doi: 10.1007/978-3-642-40582-2_16
29
Johannes Ludwig, Juan Camacho, Nima Kokabi, Minzhi Xing, Hyun Kim. The Role of Diffusion-Weighted Imaging (DWI) in Locoregional Therapy Outcome Prediction and Response Assessment for Hepatocellular Carcinoma (HCC): The New Era of Functional Imaging BiomarkersDiagnostics 2015; 5(4): 546 doi: 10.3390/diagnostics5040546
30
Elisabeth G. Klompenhouwer, Raphaëla C. Dresen, Chris Verslype, Annouschka Laenen, Lawrence Bonne, Vincent Vandecaveye, Geert Maleux. Transarterial Radioembolization Following Chemoembolization for Unresectable Hepatocellular Carcinoma: Response Based on Apparent Diffusion Coefficient Change is an Independent Predictor for SurvivalCardioVascular and Interventional Radiology 2018; 41(11): 1716 doi: 10.1007/s00270-018-1991-3
31
Maxime Ronot, Ashley Kieran Clift, Valérie Vilgrain, Andrea Frilling. Functional imaging in liver tumoursJournal of Hepatology 2016; 65(5): 1017 doi: 10.1016/j.jhep.2016.06.024
32
Andrei Svecic, Rihab Mansour, An Tang, Samuel Kadoury, Gianfranco D. Alpini. Prediction of post transarterial chemoembolization MR images of hepatocellular carcinoma using spatio-temporal graph convolutional networksPLOS ONE 2021; 16(12): e0259692 doi: 10.1371/journal.pone.0259692
33
Antonio Luna, Luis Luna. Diffusion MRI Outside the Brain2012; : 75 doi: 10.1007/978-3-642-21052-5_5
34
Yosra Abdelzaher Ibrahim, Mohamed ElGharib, Dina Sayed Sheha. Chemoembolization follow-up of hepatocellular carcinoma with diffusion-weighted MR imagingThe Egyptian Journal of Radiology and Nuclear Medicine 2015; 46(4): 871 doi: 10.1016/j.ejrnm.2015.06.019
35
Jie Chen, Jing Sheng, Wei Xing, Hussein Aoun, Ming Chen, Heng-Liang Bi, Jian-Ming Tian, Yong-Ming Dai. Monitoring early response of lymph node metastases to radiotherapy in animal models: diffusion-weighted imaging vs. morphological MR imagingActa Radiologica 2011; 52(9): 989 doi: 10.1258/AR.2011.110254
36
Zheng Yuan, Jian Zhang, Huan Yang, Xiao-Dan Ye, Li-Chao Xu, Wen-Tao Li. Diffusion-Weighted MR Imaging of Hepatocellular Carcinoma: Current Value in Clinical Evaluation of Tumor Response to Locoregional TreatmentJournal of Vascular and Interventional Radiology 2016; 27(1): 20 doi: 10.1016/j.jvir.2015.10.003
37
Jiang Bo, Han Peng, Zhu LianHua, Fei Xiang, Luo YuKun. Intraarterial contrast-enhanced ultrasound to predict the short-term tumour response of hepatocellular carcinoma to Transarterial chemoembolization with LipiodolBMC Cancer 2021; 21(1) doi: 10.1186/s12885-021-08867-5
38
Mi Hye Yu, Jung Hoon Kim, Jeong-Hee Yoon, Hyo-Cheol Kim, Jin Wook Chung, Joon Koo Han, Byung-Ihn Choi. Role of C-Arm CT for Transcatheter Arterial Chemoembolization of Hepatocellular Carcinoma: Diagnostic Performance and Predictive Value for Therapeutic Response Compared With Gadoxetic Acid–Enhanced MRIAmerican Journal of Roentgenology 2013; 201(3): 675 doi: 10.2214/AJR.12.10445
39
Celia P. Corona-Villalobos, Ihab R. Kamel. Functional Volumetric MRI in Assessing Treatment Response to Intra-Arterial Therapy of Primary and Secondary Liver TumorsJournal of Computer Assisted Tomography 2014; 38(4): 513 doi: 10.1097/RCT.0000000000000072
40
Yang Guo, Vahid Yaghmai, Riad Salem, Robert J. Lewandowski, Paul Nikolaidis, Andrew C. Larson, Frank H. Miller. Imaging tumor response following liver-directed intra-arterial therapyAbdominal Imaging 2013; 38(6): 1286 doi: 10.1007/s00261-013-0017-5