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Cited by in F6Publishing
For: Kokabi N, Camacho JC, Xing M, Edalat F, Mittal PK, Kim HS. Immediate post-doxorubicin drug-eluting beads chemoembolization Mr Apparent diffusion coefficient quantification predicts response in unresectable hepatocellular carcinoma: A pilot study. J Magn Reson Imaging. 2015;42:981-989. [PMID: 25683022 DOI: 10.1002/jmri.24845] [Cited by in Crossref: 18] [Cited by in F6Publishing: 15] [Article Influence: 2.6] [Reference Citation Analysis]
Number Citing Articles
1 Ou HY, Wu YN, Yu CY, Chen CL, Hsu HW, Weng CC, Leung-Chit Tsang L, Huang TL, Tong YS, Lim WX, Cheng YF. Transarterial Chemoembolization Using 100-μm Drug-Eluting Microspheres in Patients with Hepatocellular Carcinoma: A Prospective Study and Midterm Follow-up. J Vasc Interv Radiol 2020;31:1784-91. [PMID: 33023805 DOI: 10.1016/j.jvir.2020.06.009] [Reference Citation Analysis]
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3 Ahlawat S, Khandheria P, Del Grande F, Morelli J, Subhawong TK, Demehri S, Fayad LM. Interobserver variability of selective region-of-interest measurement protocols for quantitative diffusion weighted imaging in soft tissue masses: Comparison with whole tumor volume measurements. J MagnReson Imaging. 2016;43:446-454. [PMID: 26174705 DOI: 10.1002/jmri.24994] [Cited by in Crossref: 39] [Cited by in F6Publishing: 32] [Article Influence: 5.6] [Reference Citation Analysis]
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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 Lo CH, Huang WY, Hsiang CW, Lee MS, Lin CS, Yang JF, Hsu HH, Chang WC. Prognostic Significance of Apparent Diffusion Coefficient in Hepatocellular Carcinoma Patients treated with Stereotactic Ablative Radiotherapy. Sci Rep 2019;9:14157. [PMID: 31578433 DOI: 10.1038/s41598-019-50503-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
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9 Klompenhouwer EG, Dresen RC, Verslype C, Laenen A, Bonne L, Vandecaveye V, Maleux G. Transarterial Radioembolization Following Chemoembolization for Unresectable Hepatocellular Carcinoma: Response Based on Apparent Diffusion Coefficient Change is an Independent Predictor for Survival. Cardiovasc Intervent Radiol 2018;41:1716-26. [DOI: 10.1007/s00270-018-1991-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Saito K, Tajima Y, Harada TL. Diffusion-weighted imaging of the liver: Current applications. World J Radiol 2016; 8(11): 857-867 [PMID: 27928467 DOI: 10.4329/wjr.v8.i11.857] [Cited by in CrossRef: 16] [Cited by in F6Publishing: 10] [Article Influence: 2.7] [Reference Citation Analysis]
11 Kokabi N, Ludwig JM, Camacho JC, Xing M, Mittal PK, Kim HS. Baseline and Early MR Apparent Diffusion Coefficient Quantification as a Predictor of Response of Unresectable Hepatocellular Carcinoma to Doxorubicin Drug-Eluting Bead Chemoembolization. J Vasc Interv Radiol. 2015;26:1777-1786. [PMID: 26603497 DOI: 10.1016/j.jvir.2015.08.023] [Cited by in Crossref: 20] [Cited by in F6Publishing: 19] [Article Influence: 3.3] [Reference Citation Analysis]
12 Ou HY, Cheng YF, Chuang YH, Hsu HW, Chen CL, Lazo MZ, Weng CC, Yu CY, Tsang LL, Huang TL, Tong YS. Quantification of Functional MR Predicts Early Response in Post-doxorubicin Drug-Eluting Beads Chemoembolization for Hepatocellular Carcinoma. Dig Dis Sci. 2019;. [PMID: 31732907 DOI: 10.1007/s10620-019-05951-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
13 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]
14 Labeur TA, Runge JH, Klompenhouwer EG, Klümpen HJ, Takkenberg RB, van Delden OM. Diffusion-weighted imaging of hepatocellular carcinoma before and after transarterial chemoembolization: role in survival prediction and response evaluation. Abdom Radiol (NY) 2019;44:2740-50. [PMID: 31069479 DOI: 10.1007/s00261-019-02030-2] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
15 Tang L, Zhou XJ. Diffusion MRI of cancer: From low to high b-values. J Magn Reson Imaging 2019;49:23-40. [PMID: 30311988 DOI: 10.1002/jmri.26293] [Cited by in Crossref: 41] [Cited by in F6Publishing: 35] [Article Influence: 10.3] [Reference Citation Analysis]
16 Schmeel FC, Simon B, Luetkens JA, Träber F, Meyer C, Schmeel LC, Sabet A, Ezziddin S, Schild HH, Hadizadeh DR. Prognostic value of pretreatment diffusion-weighted magnetic resonance imaging for outcome prediction of colorectal cancer liver metastases undergoing 90Y-microsphere radioembolization. J Cancer Res Clin Oncol 2017;143:1531-41. [PMID: 28317063 DOI: 10.1007/s00432-017-2395-5] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 2.6] [Reference Citation Analysis]