BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Feng LM, Wang PQ, Yu H, Chen RT, Wang J, Sheng X, Yuan ZL, Shi PM, Xie WF, Zeng X. New formula for predicting standard liver volume in Chinese adults. World J Gastroenterol 2017; 23(27): 4968-4977 [PMID: 28785151 DOI: 10.3748/wjg.v23.i27.4968] [Cited by in CrossRef: 13] [Cited by in F6Publishing: 10] [Article Influence: 2.6] [Reference Citation Analysis]
Number Citing Articles
1 Lin X, Xiao M, Gu Y, Zhu H, Zhuang L, Lu J, Zheng S, Li Q. Shulan Estimation Model: A New Formula for Estimation of Standard Liver Volume In Chinese Adults. Transplant Proc 2022:S0041-1345(22)00501-2. [PMID: 36114045 DOI: 10.1016/j.transproceed.2022.08.005] [Reference Citation Analysis]
2 Nanashima A, Tanoue Y, Yano K, Hiyoshi M, Imamura N, Hamada T, Kai K, Kitamura E, Suzuki Y, Tahira K, Kawano F, Nagayasu T. Relationship of Immunonutritional factor with Changes in Liver Volume after Portal Vein Embolization. Surgery Open Science 2022. [DOI: 10.1016/j.sopen.2022.05.012] [Reference Citation Analysis]
3 Schick F. Automatic segmentation and volumetric assessment of internal organs and fatty tissue: what are the benefits? Magn Reson Mater Phy 2022;35:187-192. [DOI: 10.1007/s10334-021-00986-1] [Reference Citation Analysis]
4 Dellschaft N, Hoad C, Marciani L, Gowland P, Spiller R. Small bowel water content assessed by MRI in health and disease: a collation of single-centre studies. Aliment Pharmacol Ther 2022;55:327-38. [PMID: 34716925 DOI: 10.1111/apt.16673] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Perez AA, Noe-Kim V, Lubner MG, Graffy PM, Garrett JW, Elton DC, Summers RM, Pickhardt PJ. Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly. Radiology 2021;:210531. [PMID: 34698566 DOI: 10.1148/radiol.2021210531] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
6 Li B, Chen PY, Tan YF, Huang H, Jiang M, Wu ZR, Jiang CH, Zheng DF, He D, Shi YJ, Luo Y, Yang JY. Standard liver weight model in adult deceased donors with fatty liver: A prospective cohort study. World J Gastroenterol 2021; 27(39): 6701-6714 [PMID: 34754162 DOI: 10.3748/wjg.v27.i39.6701] [Reference Citation Analysis]
7 Yang LB, Xu JY, Tantai XX, Li H, Xiao CL, Yang CF, Zhang H, Dong L, Zhao G. Non-invasive prediction model for high-risk esophageal varices in the Chinese population. World J Gastroenterol 2020; 26(21): 2839-2851 [PMID: 32550759 DOI: 10.3748/wjg.v26.i21.2839] [Cited by in CrossRef: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
8 Kromrey ML, Ittermann T, vWahsen C, Plodeck V, Seppelt D, Hoffmann RT, Heiss P, Kühn JP. Reference values of liver volume in Caucasian population and factors influencing liver size. Eur J Radiol 2018;106:32-7. [PMID: 30150048 DOI: 10.1016/j.ejrad.2018.07.005] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 3.8] [Reference Citation Analysis]