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Cited by in CrossRef
For: Chou YC, Lao IH, Hsieh PL, Su YY, Mak CW, Sun DP, Sheu MJ, Kuo HT, Chen TJ, Ho CH, Kuo YT. Gadoxetic acid-enhanced magnetic resonance imaging can predict the pathologic stage of solitary hepatocellular carcinoma. World J Gastroenterol 2019; 25(21): 2636-2649 [PMID: 31210715 DOI: 10.3748/wjg.v25.i21.2636]
URL: https://www.wjgnet.com/1948-5182/full/v25/i21/2636.htm
Number Citing Articles
1
Shingo Shimada, Toshiya Kamiyama, Tatsuhiko Kakisaka, Tatsuya Orimo, Akihisa Nagatsu, Yoh Asahi, Yuzuru Sakamoto, Daisuke Abo, Hirofumi Kamachi, Akinobu Taketomi. Impact of gadolinium‐ethoxybenzyl‐diethylenetriamine pentaacetic acid‐enhanced magnetic resonance imaging on the prognosis of hepatocellular carcinoma after surgeryJGH Open 2021; 5(1): 41 doi: 10.1002/jgh3.12444
2
Sanaz Ameli, Bharath Ambale Venkatesh, Mohammadreza Shaghaghi, Maryam Ghadimi, Bita Hazhirkarzar, Roya Rezvani Habibabadi, Mounes Aliyari Ghasabeh, Pegah Khoshpouri, Ankur Pandey, Pallavi Pandey, Li Pan, Robert Grimm, Ihab R. Kamel. Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular CarcinomaDiagnostics 2022; 12(10): 2386 doi: 10.3390/diagnostics12102386
3
Dailin Rong, Weimin Liu, Sichi Kuang, Sidong Xie, Zhanhong Chen, Feifei Chen, Qianwei Xie, Qiuxia Luo, Bingjun He, Yao Zhang, Ying Deng, Hao Yang, Simin Chen, Jin Wang. Preoperative prediction of pathologic grade of HCC on gadobenate dimeglumine-enhanced dynamic MRIEuropean Radiology 2021; 31(10): 7584 doi: 10.1007/s00330-021-07891-0
4
Lin Sun, Luwen Mu, Jing Zhou, Wenjie Tang, Linqi Zhang, Sidong Xie, Jingbiao Chen, Jin Wang. Imaging features of gadoxetic acid-enhanced MR imaging for evaluation of tumor-infiltrating CD8 cells and PD-L1 expression in hepatocellular carcinomaCancer Immunology, Immunotherapy 2022; 71(1): 25 doi: 10.1007/s00262-021-02957-w
5
X. Liang, S. Shi, T. Gao. Preoperative gadoxetic acid-enhanced MRI predicts aggressive pathological features in LI-RADS category 5 hepatocellular carcinomaClinical Radiology 2022; 77(9): 708 doi: 10.1016/j.crad.2022.05.018
6
Shu Wen Sun, Xun Xu, Qiu Ping Liu, Jie Neng Chen, Fei Peng Zhu, Xi Sheng Liu, Yu Dong Zhang, Jie Wang. LiSNet: An artificial intelligence ‐based tool for liver imaging staging of hepatocellular carcinoma aggressivenessMedical Physics 2022; 49(11): 6903 doi: 10.1002/mp.15972
7
Guixue Liu, Di Ma, Huafeng Wang, Jiahao Zhou, Zhehan Shen, Yuchen Yang, Yongjun Chen, Ingolf Sack, Jing Guo, Ruokun Li, Fuhua Yan. Three-dimensional multifrequency magnetic resonance elastography improves preoperative assessment of proliferative hepatocellular carcinomaInsights into Imaging 2023; 14(1) doi: 10.1186/s13244-023-01427-4
8
Ting Yang, Hong Wei, Yuanan Wu, Yun Qin, Jie Chen, Hanyu Jiang, Bin Song. Predicting histologic differentiation of solitary hepatocellular carcinoma up to 5 cm on gadoxetate disodium-enhanced MRIInsights into Imaging 2023; 14(1) doi: 10.1186/s13244-022-01354-w
9
Aylin Altan Kus, Selim Keceoglu, Ali Ozer. MRI features for predicting the pathological grade of HCC in patients undergoing liver transplantationEgyptian Liver Journal 2023; 13(1) doi: 10.1186/s43066-023-00289-1
10
Ying Wu, Meilin Zhu, Yiming Liu, Xinyue Cao, Guojin Zhang, Longlin Yin. Peritumoral Imaging Manifestations on Gd-EOB-DTPA-Enhanced MRI for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Meta-AnalysisFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.907076