BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Li H, Chen TW, Li ZL, Zhang XM, Li CJ, Chen XL, Chen GW, Hu JN, Ye YQ. Albumin and magnetic resonance imaging-liver volume to identify hepatitis B-related cirrhosis and esophageal varices. World J Gastroenterol 2015; 21(3): 988-996 [PMID: 25624735 DOI: 10.3748/wjg.v21.i3.988]
URL: https://www.wjgnet.com/1007-9327/full/v21/i3/988.htm
Number Citing Articles
1
Fulin Lu, Bangguo Tan, Yucheng Huang, Lin Xu, Changqiang Wu, Haiying Zhou, Rui Li, Xiaoming Zhang, Tianwu Chen, Hongjun Li, Xingshun Qi. Lobe‐Based Hepatic Uptake Index of Gd‐EOB‐DTPA on Contrast‐Enhanced MRI to Quantitatively Discriminate between Compensated and Decompensated Hepatitis B‐Related CirrhosisCanadian Journal of Gastroenterology and Hepatology 2024; 2024(1) doi: 10.1155/2024/6623848
2
Dan Wang, Tian-wu Chen, Xiao-ming Zhang, Jie Li, Nan-lin Zeng, Li Li, Yu-lian Tang, Yu-cheng Huang, Rui Li, Fan Chen, Yan-li Chen, Teh-Ia Huo. Liver Lobe Based Multi-Echo Gradient Recalled Echo T2*-Weighted Imaging in Chronic Hepatitis B-Related Cirrhosis: Association with the Presence and Child-Pugh Class of CirrhosisPLOS ONE 2016; 11(5): e0154545 doi: 10.1371/journal.pone.0154545
3
Numan Kutaiba, William Chung, Mark Goodwin, Adam Testro, Gary Egan, Ruth Lim. The impact of hepatic and splenic volumetric assessment in imaging for chronic liver disease: a narrative reviewInsights into Imaging 2024; 15(1) doi: 10.1186/s13244-024-01727-3
4
Yijie Yan, Yue Li, Chunlei Fan, Yuening Zhang, Shibin Zhang, Zhi Wang, Tehui Huang, Zhenjia Ding, Keqin Hu, Lei Li, Huiguo Ding. A novel machine learning-based radiomic model for diagnosing high bleeding risk esophageal varices in cirrhotic patientsHepatology International 2022; 16(2): 423 doi: 10.1007/s12072-021-10292-6
5
Bang-guo Tan, Zhao Tang, Jing Ou, Hai-ying Zhou, Rui Li, Tian-wu Chen, Xiao-ming Zhang, Hong-jun Li, Jiani Hu. A novel model based on liver/spleen volumes and portal vein diameter on MRI to predict variceal bleeding in HBV cirrhosisEuropean Radiology 2022; 33(2): 1378 doi: 10.1007/s00330-022-09107-5
6
睿 罗. Update in Noninvasive Evaluation of Esophagogastric Varices in Liver CirrhosisAdvances in Clinical Medicine 2022; 12(12): 11907 doi: 10.12677/ACM.2022.12121716
7
Jie Li, Fei Xie, Dan Wang, Shi-yong Zhang, Xiao-ming Zhang, Zong-lin Jing, Tian-wu Chen. T 2 ∗ -weighted imaging of the liver versus the spleen to assess hepatitis B-related cirrhosis and its Child–Pugh classRadiology of Infectious Diseases 2018; 5(1): 33 doi: 10.1016/j.jrid.2017.09.002
8
Jinli Wu, Chao Yu, Xianggang Zeng, Yini Xu, Chengyi Sun. Protection of propofol on liver ischemia reperfusion injury by regulating Cyp2b10/ Cyp3a25 pathwayTissue and Cell 2022; 78: 101891 doi: 10.1016/j.tice.2022.101891
9
Shang Wan, Yi Wei, Xin Zhang, Caiwei Yang, Bin Song. CT-derived quantitative liver volumetric parameters for prediction of severe esophageal varices and the risk of first variceal hemorrhageEuropean Journal of Radiology 2021; 144: 109984 doi: 10.1016/j.ejrad.2021.109984
10
Ana Petrisor, Razvan Peagu, Dumitru Cristinel Badiu, Ana Maria Alexandra Stanescu, Alexandru Constantin Moldoveanu, Carmen Fierbinteanu -Braticevici. Can Non-Invasive Methods Be Clinically Useful for Diagnosis and Severity of Portal Hypertension?Hepatitis Monthly 2020; 20(5) doi: 10.5812/hepatmon.99974
11
勇 秦. Research Progress of Deep Learning in Liver Semantic Segmentation and Volume Measurement Based on Medical ImageAdvances in Clinical Medicine 2023; 13(07): 11581 doi: 10.12677/ACM.2023.1371620
12
Yue Li, Lei Li, Hong-Lei Weng, Roman Liebe, Hui-Guo Ding. Computed tomography <i>vs</i> liver stiffness measurement and magnetic resonance imaging in evaluating esophageal varices in cirrhotic patients: A systematic review and meta-analysisWorld Journal of Gastroenterology 2020; 26(18): 2247-2267 doi: 10.3748/wjg.v26.i18.2247
13
Ling Mei Feng, Shu Juan Lei, Xin Zeng, Pei Qin Wang, Ru Tan Chen, Jian Wang, Xia Sheng, Pei Mei Shi, Zong Li Yuan, Wei Fen Xie. The evaluation of non‐invasive multi‐slice spiral computed tomography‐based indices for the diagnosis and prognosis prediction of liver cirrhosisJournal of Digestive Diseases 2017; 18(8): 472 doi: 10.1111/1751-2980.12506
14
Milan Patel, Pimpitcha Puangsricharoen, Hafiz Muhammad Sharjeel Arshad, Sam Garrison, Witina Techasatian, Marwan Ghabril, Kumar Sandrasegaran, Suthat Liangpunsakul, Mark Tann. Does providing routine liver volume assessment add value when performing CT surveillance in cirrhotic patients?Abdominal Radiology 2019; 44(10): 3263 doi: 10.1007/s00261-019-02145-6
15
Bang-Guo Tan, Li-Qin Yang, Yu-Ping Wu, Fu-Lin Lu, Jing Ou, Tian-Wu Chen, Xiao-Ming Zhang, Rui Li, Hong-Jun Li. Combinations of liver lobe and spleen volumes obtained on magnetic resonance imaging to predict esophagogastric variceal bleeding in hepatitis B-related cirrhotic patients: A prospective cohort studyMedicine 2022; 101(38): e30616 doi: 10.1097/MD.0000000000030616
16
Shang Wan, Yuhao He, Xin Zhang, Yi Wei, Bin Song. Quantitative measurements of esophageal varices using computed tomography for prediction of severe varices and the risk of bleeding: a preliminary studyInsights into Imaging 2022; 13(1) doi: 10.1186/s13244-022-01189-5
17
Xiaolong Qi, Annalisa Berzigotti, Andres Cardenas, Shiv Kumar Sarin. Emerging non-invasive approaches for diagnosis and monitoring of portal hypertensionThe Lancet Gastroenterology & Hepatology 2018; 3(10): 708 doi: 10.1016/S2468-1253(18)30232-2
18
Yuling Yan, Xian Xing, Xiaoze Wang, Ruoting Men, Xuefeng Luo, Li Yang. Development and Validation of an Easy-to-Use Risk Scoring System for Screening High-Risk Varices in Patients with HBV-Related Compensated Advanced Chronic Liver DiseaseDigestive Diseases and Sciences 2021; 66(12): 4518 doi: 10.1007/s10620-020-06764-8
19
Shang Wan, Yi Wei, Haopeng Yu, Yawen Li, Shan Yao, Bin Song. Computed Tomographic Portography with Esophageal Variceal Measurements in the Evaluation of Esophageal Variceal Severity and Assessment of Esophageal Variceal Volume EfficacyAcademic Radiology 2020; 27(4): 528 doi: 10.1016/j.acra.2019.05.015