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Cited by in CrossRef
For: Yang JF, Zhao ZH, Zhang Y, Zhao L, Yang LM, Zhang MM, Wang BY, Wang T, Lu BC. Dual-input two-compartment pharmacokinetic model of dynamic contrast-enhanced magnetic resonance imaging in hepatocellular carcinoma. World J Gastroenterol 2016; 22(13): 3652-3662 [PMID: 27053857 DOI: 10.3748/wjg.v22.i13.3652]
URL: https://www.wjgnet.com/1007-9327/full/v22/i13/3652.htm
Number Citing Articles
1
Anupama Ramachandran, Hero Hussain, Nicole Seiberlich, Vikas Gulani. Perfusion MR Imaging of LiverMagnetic Resonance Imaging Clinics of North America 2024; 32(1): 151 doi: 10.1016/j.mric.2023.09.003
2
Marta Campos, Isabel Candelária, Nickolas Papanikolaou, Adélia Simão, Carlos Ferreira, Georgios C. Manikis, Filipe Caseiro-Alves. Perfusion Magnetic Resonance as a Biomarker for Sorafenib-Treated Advanced Hepatocellular Carcinoma: A Pilot StudyGE - Portuguese Journal of Gastroenterology 2019; 26(4): 260 doi: 10.1159/000493351
3
Lavinia Alice Balaceanu. Biomarkers <i>vs</i> imaging in the early detection of hepatocellular carcinoma and prognosisWorld Journal of Clinical Cases 2019; 7(12): 1367-1382 doi: 10.12998/wjcc.v7.i12.1367
4
Jing Li, Xiao-Bo Zhang, Jing-Jing Wang, Lu-Jia Jin, Hu-Sheng Shan, Xiao Zhang, Li Ma, Xiao-Dong Xue, Xin Zhang, Zhong-Liang Zhang, Liang-Liang Meng, Fei Yuan, Yue-Yong Xiao. Comparison between high-frequency irreversible electroporation and irreversible electroporation ablation of small swine liver: follow-up of DCE-MRI and pathological observationsChinese Medical Journal 2021; 134(17): 2081 doi: 10.1097/CM9.0000000000001663
5
Jiawen Luo, Kunpeng Zhou, Bin Zhang, Ning Luo, Jie Bian. Intravoxel Incoherent Motion Diffusion‐Weighted Imaging for Evaluation of the Cell Density and Angiogenesis of Cirrhosis‐Related Nodules in an Experimental Rat Model: Comparison and Correlation With Dynamic Contrast‐Enhanced MRIJournal of Magnetic Resonance Imaging 2020; 51(3): 812 doi: 10.1002/jmri.26845
6
Hongwei Liang, Chunhong Hu, Jian Lu, Tao Zhang, Jifeng Jiang, Ding Ding, Sheng Du, Shaofeng Duan. Correlation of radiomic features on dynamic contrast-enhanced magnetic resonance with microvessel density in hepatocellular carcinoma based on different modelsJournal of International Medical Research 2021; 49(3) doi: 10.1177/0300060521997586
7
Edengenet M Dejene, Winfried Brenner, Marcus R Makowski, Christoph Kolbitsch. Unified Bayesian network for uncertainty quantification of physiological parameters in dynamic contrast enhanced (DCE) MRI of the liverPhysics in Medicine & Biology 2023; 68(21): 215018 doi: 10.1088/1361-6560/ad0284
8
Xiaoyu Zhou, Feng Gao, Shaofeng Duan, Lianmei Zhang, Yan Liu, Junyi Zhou, Genji Bai, Weijing Tao. Radiomic features of Pk-DCE MRI parameters based on the extensive Tofts model in application of breast cancerPhysical and Engineering Sciences in Medicine 2020; 43(2): 517 doi: 10.1007/s13246-020-00852-9
9
Jingwei Hao, Shunli Liu, Tongyu Wang, Xiaomeng Han, Aixin Gao, Hexiang Wang, Dapeng Hao. Differentiation of malignant from benign soft tissue tumors using radiomics based on pharmacokinetic parameter maps obtained from dynamic contrast-enhanced magnetic resonance imaging dataChinese Journal of Academic Radiology 2024; 7(3): 219 doi: 10.1007/s42058-024-00154-z
10
Wei‐jing Tao, Hui‐xin Zhang, Lian‐mei Zhang, Feng Gao, Wei Huang, Yan Liu, Yan Zhu, Gen‐ji Bai. Combined application of pharamcokinetic DCE‐MRI and IVIM‐DWI could improve detection efficiency in early diagnosis of ductal carcinoma in situJournal of Applied Clinical Medical Physics 2019; 20(7): 142 doi: 10.1002/acm2.12624
11
Qihao Zhang, Xianfu Luo, Liangdong Zhou, Thanh D. Nguyen, Martin R. Prince, Pascal Spincemaille, Yi Wang. Fluid Mechanics Approach to Perfusion Quantification: Vasculature Computational Fluid Dynamics Simulation, Quantitative Transport Mapping (QTM) Analysis of Dynamics Contrast Enhanced MRI, and Application in Nonalcoholic Fatty Liver Disease ClassificationIEEE Transactions on Biomedical Engineering 2023; 70(3): 980 doi: 10.1109/TBME.2022.3207057
12
Satyam Ghodasara, Shivani Pahwa, Sara Dastmalchian, Vikas Gulani, Yong Chen. Free-Breathing 3D Liver Perfusion Quantification Using a Dual-Input Two-Compartment ModelScientific Reports 2017; 7(1) doi: 10.1038/s41598-017-17753-9
13
Mingyue Zou, Bingqian Zhang, Lei Shi, Haijia Mao, Yanan Huang, Zhenhua Zhao. Correlation of MRI quantitative perfusion parameters with EGFR, VEGF and EGFR gene mutations in non-small cell cancerScientific Reports 2024; 14(1) doi: 10.1038/s41598-024-55033-5
14
Vincenza Granata, Roberta Grassi, Roberta Fusco, Andrea Belli, Carmen Cutolo, Silvia Pradella, Giulia Grazzini, Michelearcangelo La Porta, Maria Chiara Brunese, Federica De Muzio, Alessandro Ottaiano, Antonio Avallone, Francesco Izzo, Antonella Petrillo. Diagnostic evaluation and ablation treatments assessment in hepatocellular carcinomaInfectious Agents and Cancer 2021; 16(1) doi: 10.1186/s13027-021-00393-0
15
Matteo Ippoliti, Mathias Lukas, Winfried Brenner, Tobias Schaeffter, Marcus R. Makowski, Christoph Kolbitsch. 3D nonrigid motion correction for quantitative assessment of hepatic lesions in DCE‐MRIMagnetic Resonance in Medicine 2019; 82(5): 1753 doi: 10.1002/mrm.27867
16
Tao Wang, Boqiao Li, Hong Shi, Pengfei Li, Yinglei Deng, Siyu Wang, Qiao Luo, Dongdong Xv, Jianfeng He, Shaobo Wang. Short-term PET-derived kinetic estimation for the diagnosis of hepatocellular carcinoma: a combination of the maximum-slope method and dual-input three-compartment modelInsights into Imaging 2023; 14(1) doi: 10.1186/s13244-023-01442-5