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Cited by in F6Publishing
For: Chen J, Chen C, Xia C, Huang Z, Zuo P, Stemmer A, Song B. Quantitative free-breathing dynamic contrast-enhanced MRI in hepatocellular carcinoma using gadoxetic acid: correlations with Ki67 proliferation status, histological grades, and microvascular density. Abdom Radiol 2018;43:1393-403. [DOI: 10.1007/s00261-017-1320-3] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 3.8] [Reference Citation Analysis]
Number Citing Articles
1 Song Q, Guo Y, Yao X, Rao S, Qian C, Ye D, Zeng M. Comparative study of evaluating the microcirculatory function status of primary small HCC between the CE (DCE-MRI) and Non-CE (IVIM-DWI) MR Perfusion Imaging. Abdom Radiol (NY) 2021;46:2575-83. [PMID: 33483778 DOI: 10.1007/s00261-020-02945-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
2 Yang D, She H, Wang X, Yang Z, Wang Z. Diagnostic accuracy of quantitative diffusion parameters in the pathological grading of hepatocellular carcinoma: A meta-analysis. J MagnReson Imaging. 2020;51:1581-1593. [PMID: 31654537 DOI: 10.1002/jmri.26963] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
3 Li X, Wang Q, Dou Y, Zhang Y, Tao J, Yang L, Wang S. Soft tissue sarcoma: can dynamic contrast-enhanced (DCE) MRI be used to predict the histological grade? Skeletal Radiol 2020;49:1829-38. [PMID: 32519183 DOI: 10.1007/s00256-020-03491-z] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Wang S, Li B, Li P, Xie R, Wang Q, Shi H, He J. Feasibility of perfusion and early-uptake 18F-FDG PET/CT in primary hepatocellular carcinoma: a dual-input dual-compartment uptake model. Jpn J Radiol 2021. [PMID: 34076855 DOI: 10.1007/s11604-021-01140-6] [Reference Citation Analysis]
5 Zhang Y, Li Z, Gao C, Shen J, Chen M, Liu Y, Cao Z, Pang P, Cui F, Xu M. Preoperative histogram parameters of dynamic contrast-enhanced MRI as a potential imaging biomarker for assessing the expression of Ki-67 in prostate cancer. Cancer Med 2021;10:4240-9. [PMID: 34117733 DOI: 10.1002/cam4.3912] [Reference Citation Analysis]
6 Berks M, Little RA, Watson Y, Cheung S, Datta A, O'Connor JPB, Scaramuzza D, Parker GJM. A model selection framework to quantify microvascular liver function in gadoxetate-enhanced MRI: Application to healthy liver, diseased tissue, and hepatocellular carcinoma. Magn Reson Med 2021;86:1829-44. [PMID: 33973674 DOI: 10.1002/mrm.28798] [Reference Citation Analysis]
7 Wang LL, Li JF, Lei JQ, Guo SL, Li JK, Xu YS, Dou Y. The value of the signal intensity of peritumoral tissue on Gd-EOB-DTPA dynamic enhanced MRI in assessment of microvascular invasion and pathological grade of hepatocellular carcinoma. Medicine (Baltimore) 2021;100:e25804. [PMID: 34011043 DOI: 10.1097/MD.0000000000025804] [Reference Citation Analysis]
8 Han T, Duan Q, Yang R, Wang Y, Yin H, Meng F, Liu Y, Qian T. Monitoring the therapeutic efficacy of CA4P in the rabbit VX2 liver tumor using dynamic contrast-enhanced MRI. Diagn Interv Radiol 2021;27:587-94. [PMID: 34559047 DOI: 10.5152/dir.2021.20010] [Reference Citation Analysis]
9 Yang Y, Liu C, Qi L, Zhao T, Feng Y, Ai X, Zhao X, Li J, Zhu Q. Diagnosis of Pre-HCC Disease by Hepatobiliary-Specific Contrast-Enhanced Magnetic Resonance Imaging: A Review. Dig Dis Sci 2020;65:2492-502. [PMID: 31808004 DOI: 10.1007/s10620-019-05981-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
10 Du Y, Zhang S, Liang T, Shang J, Guo C, Lian J, Gong H, Yang J, Niu G. Dynamic contrast-enhanced MRI perfusion parameters are imaging biomarkers for angiogenesis in lung cancer. Acta Radiol 2022;:2841851221088581. [PMID: 35369721 DOI: 10.1177/02841851221088581] [Reference Citation Analysis]
11 Mao X, Guo Y, Wen F, Liang H, Sun W, Lu Z. Applying arterial enhancement fraction (AEF) texture features to predict the tumor response in hepatocellular carcinoma (HCC) treated with Transarterial chemoembolization (TACE). Cancer Imaging 2021;21:49. [PMID: 34384496 DOI: 10.1186/s40644-021-00418-2] [Reference Citation Analysis]
12 Surov A, Meyer HJ, Leifels L, Höhn AK, Richter C, Winter K. Histogram analysis parameters of dynamic contrast-enhanced magnetic resonance imaging can predict histopathological findings including proliferation potential, cellularity, and nucleic areas in head and neck squamous cell carcinoma. Oncotarget 2018;9:21070-7. [PMID: 29765520 DOI: 10.18632/oncotarget.24920] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
13 Chen Y, Qin X, Long L, Zhang L, Huang Z, Jiang Z, Li C. Diagnostic Value of Gd‐EOB‐DTPA‐Enhanced MRI for the Expression of Ki67 and Microvascular Density in Hepatocellular Carcinoma. J Magn Reson Imaging 2020;51:1755-63. [DOI: 10.1002/jmri.26974] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
14 Ippolito D, Inchingolo R, Grazioli L, Drago SG, Nardella M, Gatti M, Faletti R. Recent advances in non-invasive magnetic resonance imaging assessment of hepatocellular carcinoma. World J Gastroenterol 2018;24:2413-26. [PMID: 29930464 DOI: 10.3748/wjg.v24.i23.2413] [Cited by in CrossRef: 16] [Cited by in F6Publishing: 16] [Article Influence: 4.0] [Reference Citation Analysis]