BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Hayano K, Lee SH, Sahani DV. Imaging for assessment of treatment response in hepatocellular carcinoma: Current update. Indian J Radiol Imaging 2015;25:121-8. [PMID: 25969635 DOI: 10.4103/0971-3026.155835] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 1.4] [Reference Citation Analysis]
Number Citing Articles
1 Mohamed RE, Amin MA, Omar HM. Apparent diffusion coefficient and dynamic contrast-enhanced MRI as reliable biomarkers for evaluating response to locoregional therapy in hepatocellular carcinoma patients. The Egyptian Journal of Radiology and Nuclear Medicine 2018;49:914-27. [DOI: 10.1016/j.ejrnm.2018.07.012] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
2 Najmi Varzaneh F, Pandey A, Aliyari Ghasabeh M, Shao N, Khoshpouri P, Pandey P, Zarghampour M, Fouladi D, Liddell R, Anders RA, Kamel IR. Prediction of post-TACE necrosis of hepatocellular carcinoma usingvolumetric enhancement on MRI and volumetric oil deposition on CT, with pathological correlation. Eur Radiol. 2018;28:3032-3040. [PMID: 29383518 DOI: 10.1007/s00330-017-5198-9] [Cited by in Crossref: 16] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
3 Moawad AW, Szklaruk J, Lall C, Blair KJ, Kaseb AO, Kamath A, Rohren SA, Elsayes KM. Angiogenesis in Hepatocellular Carcinoma; Pathophysiology, Targeted Therapy, and Role of Imaging. J Hepatocell Carcinoma 2020;7:77-89. [PMID: 32426302 DOI: 10.2147/JHC.S224471] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
4 Woeste MR, Geller AE, Martin RCG 2nd, Polk HC Jr. Optimizing the Combination of Immunotherapy and Trans-Arterial Locoregional Therapy for Stages B and C Hepatocellular Cancer. Ann Surg Oncol 2021;28:1499-510. [PMID: 33393028 DOI: 10.1245/s10434-020-09414-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Krishan S, Dhiman RK, Kalra N, Sharma R, Baijal SS, Arora A, Gulati A, Eapan A, Verma A, Keshava S, Mukund A, Deva S, Chaudhary R, Ganesan K, Taneja S, Gorsi U, Gamanagatti S, Madhusudan KS, Puri P, Shalimar, Govil S, Wadhavan M, Saigal S, Kumar A, Thapar S, Duseja A, Saraf N, Khandelwal A, Mukhopadyay S, Gulati A, Shetty N, Verma N. Joint Consensus Statement of the Indian National Association for Study of the Liver and Indian Radiological and Imaging Association for the Diagnosis and Imaging of Hepatocellular Carcinoma Incorporating Liver Imaging Reporting and Data System. J Clin Exp Hepatol 2019;9:625-51. [PMID: 31695253 DOI: 10.1016/j.jceh.2019.07.005] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
6 Bartnik K, Podgórska J, Rosiak G, Korzeniowski K, Rowiński O. Inter-observer agreement using the LI-RADS version 2018 CT treatment response algorithm in patients with hepatocellular carcinoma treated with conventional transarterial chemoembolization. Abdom Radiol (NY) 2021. [PMID: 34581927 DOI: 10.1007/s00261-021-03272-9] [Reference Citation Analysis]
7 Xia W, Chen Y, Zhang R, Yan Z, Zhou X, Zhang B, Gao X. Radiogenomics of hepatocellular carcinoma: multiregion analysis-based identification of prognostic imaging biomarkers by integrating gene data-a preliminary study. Phys Med Biol. 2018;63:035044. [PMID: 29311419 DOI: 10.1088/1361-6560/aaa609] [Cited by in Crossref: 26] [Cited by in F6Publishing: 22] [Article Influence: 6.5] [Reference Citation Analysis]
8 Montagnon E, Cerny M, Cadrin-Chênevert A, Hamilton V, Derennes T, Ilinca A, Vandenbroucke-Menu F, Turcotte S, Kadoury S, Tang A. Deep learning workflow in radiology: a primer. Insights Imaging 2020;11:22. [PMID: 32040647 DOI: 10.1186/s13244-019-0832-5] [Cited by in Crossref: 26] [Cited by in F6Publishing: 16] [Article Influence: 13.0] [Reference Citation Analysis]