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Cited by in F6Publishing
For: Deng J, Virmani S, Young J, Harris K, Yang GY, Rademaker A, Woloschak G, Omary RA, Larson AC. Diffusion-weighted PROPELLER MRI for quantitative assessment of liver tumor necrotic fraction and viable tumor volume in VX2 rabbits. J Magn Reson Imaging 2008;27:1069-76. [PMID: 18407540 DOI: 10.1002/jmri.21327] [Cited by in Crossref: 24] [Cited by in F6Publishing: 24] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
1 Delumeau S, Lebigot J, Ridereau-zins C, Bouvier A, Boursier J, Aubé C. Aspects et évaluation post-thérapeutiques des lésions du foie après traitement non chirurgical. Journal de Radiologie 2011;92:632-58. [DOI: 10.1016/j.jradio.2011.04.014] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 0.4] [Reference Citation Analysis]
2 Junping W, Tongguo S, Yunting Z, Chunshui Y, Renju B. Discrimination of axillary metastatic from nonmetastatic lymph nodes with PROPELLER diffusion-weighted MR imaging in a metastatic breast cancer model and its correlation with cellularity. J Magn Reson Imaging 2012;36:624-31. [DOI: 10.1002/jmri.23695] [Cited by in Crossref: 20] [Cited by in F6Publishing: 16] [Article Influence: 2.0] [Reference Citation Analysis]
3 Vossen JA, Buijs M, Geschwind JF, Liapi E, Prieto Ventura V, Lee KH, Bluemke DA, Kamel IR. Diffusion-weighted and Gd-EOB-DTPA-contrast-enhanced magnetic resonance imaging for characterization of tumor necrosis in an animal model. J Comput Assist Tomogr 2009;33:626-30. [PMID: 19638862 DOI: 10.1097/RCT.0b013e3181953df3] [Cited by in Crossref: 19] [Cited by in F6Publishing: 10] [Article Influence: 1.5] [Reference Citation Analysis]
4 Mannelli L, Kim S, Hajdu CH, Babb JS, Clark TW, Taouli B. Assessment of tumor necrosis of hepatocellular carcinoma after chemoembolization: diffusion-weighted and contrast-enhanced MRI with histopathologic correlation of the explanted liver. AJR Am J Roentgenol. 2009;193:1044-1052. [PMID: 19770328 DOI: 10.2214/ajr.08.1461] [Cited by in Crossref: 137] [Cited by in F6Publishing: 47] [Article Influence: 10.5] [Reference Citation Analysis]
5 Nishiofuku H, Matsushima S, Taguchi O, Inaba Y, Yamaura H, Sato Y, Tanaka T, Kichikawa K. Cellular Imaging Using Equivalent Cross-Relaxation Rate Technique in Rabbit VX-2 Tumor Model. Cancer Inform 2011;10:227-32. [PMID: 21918597 DOI: 10.4137/CIN.S7833] [Cited by in Crossref: 3] [Article Influence: 0.3] [Reference Citation Analysis]
6 Chen YW, Pan HB, Tseng HH, Chu HC, Hung YT, Yen YC, Chou CP. Differentiated epithelial- and mesenchymal-like phenotypes in subcutaneous mouse xenografts using diffusion weighted-magnetic resonance imaging. Int J Mol Sci 2013;14:21943-59. [PMID: 24196357 DOI: 10.3390/ijms141121943] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 0.4] [Reference Citation Analysis]
7 Zhang Q, van Houdt PJ, Lambregts DMJ, van Triest B, Kop MPM, Coolen BF, Strijkers GJ, van der Heide UA, Nederveen AJ. Locally advanced rectal cancer: 3D diffusion-prepared stimulated-echo turbo spin-echo versus 2D diffusion-weighted echo-planar imaging. Eur Radiol Exp 2020;4:9. [PMID: 32030561 DOI: 10.1186/s41747-019-0138-x] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Wang CC, Huang TY. Self-gated PROPELLER-encoded cine cardiac imaging. Int J Cardiovasc Imaging 2012;28:1477-85. [PMID: 22042429 DOI: 10.1007/s10554-011-9969-0] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 0.7] [Reference Citation Analysis]
9 Teh I, Golay X, Larkman DJ. PROPELLER for motion-robust imaging of in vivo mouse abdomen at 9.4 T. NMR Biomed 2010;23:1077-86. [PMID: 20963802 DOI: 10.1002/nbm.1535] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.5] [Reference Citation Analysis]
10 Koh TS, Thng CH, Hartono S, Dominguez LTM, Lim TKH, Huynh H, Martarello L, Ng QS. Assessment of tumor necrotic fraction by dynamic contrast-enhanced MRI: a preclinical study of human tumor xenografts with histopathologic correlation: ASSESSMENT OF TUMOR NECROTIC FRACTION BY DCE MRI. NMR Biomed 2014;27:486-94. [DOI: 10.1002/nbm.3090] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
11 Deng J, Jin N, Yin X, Yang GY, Zhang Z, Omary RA, Larson AC. Quantitative multiparametric PROPELLER MRI of diethylnitrosamine-induced hepatocarcinogenesis in wister rat model. J Magn Reson Imaging 2010;31:1242-51. [PMID: 20432363 DOI: 10.1002/jmri.22138] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.3] [Reference Citation Analysis]
12 Bammer R, Holdsworth SJ, Veldhuis WB, Skare ST. New methods in diffusion-weighted and diffusion tensor imaging. Magn Reson Imaging Clin N Am 2009;17:175-204. [PMID: 19406353 DOI: 10.1016/j.mric.2009.01.011] [Cited by in Crossref: 45] [Cited by in F6Publishing: 41] [Article Influence: 3.5] [Reference Citation Analysis]
13 Matsushima S, Sato T, Nishiofuku H, Sato Y, Murata S, Kinosada Y, Era S, Inaba Y. Equivalent cross-relaxation rate imaging and diffusion weighted imaging for early prediction of response to bevacizumab-containing treatment in colorectal liver metastases-preliminary study. Clin Imaging 2017;41:1-6. [PMID: 27721090 DOI: 10.1016/j.clinimag.2016.08.013] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
14 Taouli B, Koh DM. Diffusion-weighted MR imaging of the liver. Radiology. 2010;254:47-66. [PMID: 20032142 DOI: 10.1148/radiol.09090021] [Cited by in Crossref: 575] [Cited by in F6Publishing: 485] [Article Influence: 47.9] [Reference Citation Analysis]
15 Wang X, Jacobs MA, Fayad L. Therapeutic response in musculoskeletal soft tissue sarcomas: evaluation by MRI. NMR Biomed 2011;24:750-63. [PMID: 21793077 DOI: 10.1002/nbm.1731] [Cited by in Crossref: 20] [Cited by in F6Publishing: 17] [Article Influence: 1.8] [Reference Citation Analysis]
16 Fouladi DF, Zarghampour M, Pandey P, Pandey A, Varzaneh FN, Ghasabeh MA, Khoshpouri P, Kamel IR. Baseline 3D-ADC outperforms 2D-ADC in predicting response to treatment in patients with colorectal liver metastases. Eur Radiol 2020;30:291-300. [PMID: 31209620 DOI: 10.1007/s00330-019-06289-3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
17 Chung JC, Naik NK, Lewandowski RJ, Deng J, Mulcahy MF, Kulik LM, Sato KT, Ryu RK, Salem R, Larson AC, Omary RA. Diffusion-weighted magnetic resonance imaging to predict response of hepatocellular carcinoma to chemoembolization. World J Gastroenterol 2010; 16(25): 3161-3167 [PMID: 20593501 DOI: 10.3748/wjg.v16.i25.3161] [Cited by in CrossRef: 39] [Cited by in F6Publishing: 32] [Article Influence: 3.3] [Reference Citation Analysis]
18 Drewes R, Pech M, Powerski M, Omari J, Heinze C, Damm R, Wienke A, Surov A. Apparent Diffusion Coefficient Can Predict Response to Chemotherapy of Liver Metastases in Colorectal Cancer. Academic Radiology 2020. [DOI: 10.1016/j.acra.2020.09.006] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
19 Ibrahim SM, Nikolaidis P, Miller FH, Lewandowski RJ, Ryu RK, Sato KT, Senthilnathan S, Riaz A, Kulik L, Mulcahy MF, Omary RA, Salem R. Radiologic findings following Y90 radioembolization for primary liver malignancies. Abdom Imaging. 2009;34:566-581. [PMID: 18777189 DOI: 10.1007/s00261-008-9454-y] [Cited by in Crossref: 65] [Cited by in F6Publishing: 54] [Article Influence: 5.0] [Reference Citation Analysis]
20 Archer BJ, Mack JJ, Acosta S, Nakasone R, Dahoud F, Youssef K, Goldstein A, Goldsman A, Held MC, Wiese M, Blumich B, Wessling M, Emondts M, Klankermayer J, Iruela-Arispe ML, Bouchard LS. Mapping Cell Viability Quantitatively and Independently From Cell Density in 3D Gels Noninvasively. IEEE Trans Biomed Eng 2021;68:2940-7. [PMID: 33531296 DOI: 10.1109/TBME.2021.3056526] [Reference Citation Analysis]
21 Mouli SK, Tyler P, McDevitt JL, Eifler AC, Guo Y, Nicolai J, Lewandowski RJ, Li W, Procissi D, Ryu RK, Wang YA, Salem R, Larson AC, Omary RA. Image-guided local delivery strategies enhance therapeutic nanoparticle uptake in solid tumors. ACS Nano 2013;7:7724-33. [PMID: 23952712 DOI: 10.1021/nn4023119] [Cited by in Crossref: 39] [Cited by in F6Publishing: 37] [Article Influence: 4.3] [Reference Citation Analysis]
22 Deng J, Virmani S, Yang GY, Tang R, Woloschak G, Omary RA, Larson AC. Intraprocedural diffusion-weighted PROPELLER MRI to guide percutaneous biopsy needle placement within rabbit VX2 liver tumors. J Magn Reson Imaging. 2009;30:366-373. [PMID: 19629976 DOI: 10.1002/jmri.21840] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 0.5] [Reference Citation Analysis]
23 Guo Y, Yaghmai V, Salem R, Lewandowski RJ, Nikolaidis P, Larson AC, Miller FH. Imaging tumor response following liver-directed intra-arterial therapy. Abdom Imaging. 2013;38:1286-1299. [PMID: 23807705 DOI: 10.1007/s00261-013-0017-5] [Cited by in Crossref: 21] [Cited by in F6Publishing: 23] [Article Influence: 2.6] [Reference Citation Analysis]
24 Yuan YH, Xiao EH, He Z, Jin K, Ma C, Xiang J, Xiao JH, Chen WJ. Dynamic characteristics of MR diffusion-weighted imaging in a rabbit liver VX-2 tumor model. Jpn J Radiol 2013;31:105-14. [PMID: 23238965 DOI: 10.1007/s11604-012-0156-6] [Reference Citation Analysis]
25 Tamhane AA, Arfanakis K. Motion correction in periodically-rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) and turboprop MRI. Magn Reson Med 2009;62:174-82. [PMID: 19365858 DOI: 10.1002/mrm.22004] [Cited by in Crossref: 45] [Cited by in F6Publishing: 26] [Article Influence: 3.5] [Reference Citation Analysis]