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For: Vouche M, Salem R, Lewandowski RJ, Miller FH. Can volumetric ADC measurement help predict response to Y90 radioembolization in HCC? Abdom Imaging 2015;40:1471-80. [DOI: 10.1007/s00261-014-0295-6] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 King MJ, Tong A, Dane B, Huang C, Zhan C, Shanbhogue K. Response assessment of hepatocellular carcinoma treated with yttrium-90 radioembolization: inter-reader variability, comparison with 3D quantitative approach, and role in the prediction of clinical outcomes. European Journal of Radiology 2020;133:109351. [DOI: 10.1016/j.ejrad.2020.109351] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
2 Gordic S, Wagner M, Zanato R, Hectors S, Besa C, Kihira S, Kim E, Taouli B. Prediction of hepatocellular carcinoma response to 90Yttrium radioembolization using volumetric ADC histogram quantification: preliminary results. Cancer Imaging 2019;19:29. [PMID: 31142363 DOI: 10.1186/s40644-019-0216-6] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
3 Yan B, Liang X, Zhao T, Ding C, Zhang M. Is the standard deviation of the apparent diffusion coefficient a potential tool for the preoperative prediction of tumor grade in endometrial cancer? Acta Radiol 2020;61:1724-32. [PMID: 32366108 DOI: 10.1177/0284185120915596] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Hectors SJ, Lewis S, Kennedy P, Bane O, Said D, Segall M, Schwartz M, Kim E, Taouli B. Assessment of Hepatocellular Carcinoma Response to 90Y Radioembolization Using Dynamic Contrast Material-enhanced MRI and Intravoxel Incoherent Motion Diffusion-weighted Imaging. Radiol Imaging Cancer 2020;2:e190094. [PMID: 32803165 DOI: 10.1148/rycan.2020190094] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
5 Ludwig JM, Camacho JC, Kokabi N, Xing M, Kim HS. The Role of Diffusion-Weighted Imaging (DWI) in Locoregional Therapy Outcome Prediction and Response Assessment for Hepatocellular Carcinoma (HCC): The New Era of Functional Imaging Biomarkers. Diagnostics (Basel) 2015;5:546-63. [PMID: 26854170 DOI: 10.3390/diagnostics5040546] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 1.6] [Reference Citation Analysis]
6 García-Figueiras R, Padhani AR, Baleato-González S. Therapy Monitoring with Functional and Molecular MR Imaging. Magn Reson Imaging Clin N Am 2016;24:261-88. [PMID: 26613885 DOI: 10.1016/j.mric.2015.08.003] [Cited by in Crossref: 20] [Cited by in F6Publishing: 16] [Article Influence: 3.3] [Reference Citation Analysis]
7 Tramontano L, Cavaliere C, Salvatore M, Brancato V. The Role of Non-Gaussian Models of Diffusion Weighted MRI in Hepatocellular Carcinoma: A Systematic Review. J Clin Med 2021;10:2641. [PMID: 34203995 DOI: 10.3390/jcm10122641] [Reference Citation Analysis]
8 Yuan Z, Zhang J, Yang H, Ye XD, Xu LC, Li WT. Diffusion-Weighted MR Imaging of Hepatocellular Carcinoma: Current Value in Clinical Evaluation of Tumor Response to Locoregional Treatment. J Vasc Interv Radiol. 2016;27:20-30; quiz 31. [PMID: 26621785 DOI: 10.1016/j.jvir.2015.10.003] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 1.6] [Reference Citation Analysis]
9 Yacoub JH, Elsayes KM, Fowler KJ, Hecht EM, Mitchell DG, Santillan C, Szklaruk J. Pitfalls in liver MRI: Technical approach to avoiding misdiagnosis and improving image quality: Pitfalls in Liver MRI: Technical Approach. J Magn Reson Imaging 2019;49:41-58. [DOI: 10.1002/jmri.26343] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 2.5] [Reference Citation Analysis]
10 Fowler KJ, Maughan NM, Laforest R, Saad NE, Sharma A, Olsen J, Speirs CK, Parikh PJ. PET/MRI of Hepatic 90Y Microsphere Deposition Determines Individual Tumor Response. Cardiovasc Intervent Radiol. 2015;Epub ahead of print. [PMID: 26721589 DOI: 10.1007/s00270-015-1285-y] [Cited by in Crossref: 41] [Cited by in F6Publishing: 36] [Article Influence: 5.9] [Reference Citation Analysis]
11 Semaan S, Makkar J, Lewis S, Chatterji M, Kim E, Taouli B. Imaging of Hepatocellular Carcinoma Response After 90 Y Radioembolization. American Journal of Roentgenology 2017;209:W263-76. [DOI: 10.2214/ajr.17.17993] [Cited by in Crossref: 18] [Cited by in F6Publishing: 6] [Article Influence: 3.6] [Reference Citation Analysis]
12 Niekamp A, Abdel-Wahab R, Kuban J, Odisio BC, Mahvash A, Hassan MM, Qayyum A, Kaseb A, Sheth RA. Baseline Apparent Diffusion Coefficient as a Predictor of Response to Liver-Directed Therapies in Hepatocellular Carcinoma. J Clin Med 2018;7:E83. [PMID: 29661994 DOI: 10.3390/jcm7040083] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
13 Bargellini I, Crocetti L, Turini FM, Lorenzoni G, Boni G, Traino AC, Caramella D, Cioni R. Response Assessment by Volumetric Iodine Uptake Measurement: Preliminary Experience in Patients with Intermediate-Advanced Hepatocellular Carcinoma Treated with Yttrium-90 Radioembolization. Cardiovasc Intervent Radiol 2018;41:1373-83. [PMID: 29654507 DOI: 10.1007/s00270-018-1962-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
14 Miller FH, Lopes Vendrami C, Gabr A, Horowitz JM, Kelahan LC, Riaz A, Salem R, Lewandowski RJ. Evolution of Radioembolization in Treatment of Hepatocellular Carcinoma: A Pictorial Review. Radiographics 2021;41:1802-18. [PMID: 34559587 DOI: 10.1148/rg.2021210014] [Reference Citation Analysis]
15 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]
16 Singer AD, Pattany PM, Fayad LM, Tresley J, Subhawong TK. Volumetric segmentation of ADC maps and utility of standard deviation as measure of tumor heterogeneity in soft tissue tumors. Clin Imaging 2016;40:386-91. [PMID: 27133673 DOI: 10.1016/j.clinimag.2015.11.017] [Cited by in Crossref: 12] [Cited by in F6Publishing: 9] [Article Influence: 1.7] [Reference Citation Analysis]
17 Zhu X, Sobhani F, Xu C, Pan L, Ghasebeh MA, Kamel IR. Quantitative volumetric functional MR imaging: an imaging biomarker of early treatment response in hypo-vascular liver metastasis patients after yttrium-90 transarterial radioembolization. Abdom Radiol (NY) 2016;41:1495-504. [PMID: 26960726 DOI: 10.1007/s00261-016-0694-y] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.5] [Reference Citation Analysis]