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Items: 1 to 20 of 125

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Dynamic contrast-enhanced MR imaging of carotid atherosclerotic plaque: model selection, reproducibility, and validation.

Gaens ME, Backes WH, Rozel S, Lipperts M, Sanders SN, Jaspers K, Cleutjens JP, Sluimer JC, Heeneman S, Daemen MJ, Welten RJ, Daemen JW, Wildberger JE, Kwee RM, Kooi ME.

Radiology. 2013 Jan;266(1):271-9. doi: 10.1148/radiol.12120499.

PMID:
23151823
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Incorporating the effects of transcytolemmal water exchange in a reference region model for DCE-MRI analysis: theory, simulations, and experimental results.

Yankeelov TE, Luci JJ, DeBusk LM, Lin PC, Gore JC.

Magn Reson Med. 2008 Feb;59(2):326-35. doi: 10.1002/mrm.21449.

7.

Transcytolemmal water exchange in pharmacokinetic analysis of dynamic contrast-enhanced MRI data in squamous cell carcinoma of the head and neck.

Kim S, Quon H, Loevner LA, Rosen MA, Dougherty L, Kilger AM, Glickson JD, Poptani H.

J Magn Reson Imaging. 2007 Dec;26(6):1607-17.

PMID:
17968962
8.

A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: II. In vivo results.

Schabel MC, DiBella EV, Jensen RL, Salzman KL.

Phys Med Biol. 2010 Aug 21;55(16):4807-23. doi: 10.1088/0031-9155/55/16/012.

9.

Leakage and water exchange characterization of gadofosveset in the myocardium.

Bane O, Lee DC, Benefield BC, Harris KR, Chatterjee NR, Carr JC, Carroll TJ.

Magn Reson Imaging. 2014 Apr;32(3):224-35. doi: 10.1016/j.mri.2013.10.014.

10.

Evaluation of pancreatic cancer by multiple breath-hold dynamic contrast-enhanced magnetic resonance imaging at 3.0T.

Yao X, Zeng M, Wang H, Sun F, Rao S, Ji Y.

Eur J Radiol. 2012 Aug;81(8):e917-22. doi: 10.1016/j.ejrad.2012.05.011.

PMID:
22695786
11.

A new method for imaging perfusion and contrast extraction fraction: input functions derived from reference tissues.

Kovar DA, Lewis M, Karczmar GS.

J Magn Reson Imaging. 1998 Sep-Oct;8(5):1126-34.

PMID:
9786152
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Comparison of dual-echo DSC-MRI- and DCE-MRI-derived contrast agent kinetic parameters.

Quarles CC, Gore JC, Xu L, Yankeelov TE.

Magn Reson Imaging. 2012 Sep;30(7):944-53. doi: 10.1016/j.mri.2012.03.008.

14.

Analysis of prostate DCE-MRI: comparison of fast exchange limit and fast exchange regimen pharmacokinetic models in the discrimination of malignant from normal tissue.

Lowry M, Zelhof B, Liney GP, Gibbs P, Pickles MD, Turnbull LW.

Invest Radiol. 2009 Sep;44(9):577-84. doi: 10.1097/RLI.0b013e3181b4c1fe.

PMID:
19668002
15.

Tracer kinetic analysis of dynamic contrast-enhanced MRI and CT bladder cancer data: A preliminary comparison to assess the magnitude of water exchange effects.

Bains LJ, McGrath DM, Naish JH, Cheung S, Watson Y, Taylor MB, Logue JP, Parker GJ, Waterton JC, Buckley DL.

Magn Reson Med. 2010 Aug;64(2):595-603. doi: 10.1002/mrm.22430.

16.

Reference region-based pharmacokinetic modeling in quantitative dynamic contract-enhanced MRI allows robust treatment monitoring in a rat liver tumor model despite cardiovascular changes.

Steingoetter A, Svensson J, Kosanke Y, Botnar RM, Schwaiger M, Rummeny E, Braren R.

Magn Reson Med. 2011 Jan;65(1):229-38. doi: 10.1002/mrm.22589.

17.

Intraindividual in vivo comparison of gadolinium contrast agents for pharmacokinetic analysis using dynamic contrast enhanced magnetic resonance imaging.

Liang J, Sammet S, Yang X, Jia G, Takayama Y, Knopp MV.

Invest Radiol. 2010 May;45(5):233-44. doi: 10.1097/RLI.0b013e3181d54507.

PMID:
20351653
18.

Dynamic contrast-enhanced magnetic resonance imaging of the metastatic potential of melanoma xenografts.

Ovrebø KM, Ellingsen C, Galappathi K, Rofstad EK.

Int J Radiat Oncol Biol Phys. 2012 May 1;83(1):e121-7. doi: 10.1016/j.ijrobp.2011.12.019.

PMID:
22381901
19.

Quantification of dynamic contrast-enhanced MR imaging of the knee in children with juvenile rheumatoid arthritis based on pharmacokinetic modeling.

Workie DW, Dardzinski BJ, Graham TB, Laor T, Bommer WA, O'Brien KJ.

Magn Reson Imaging. 2004 Nov;22(9):1201-10.

PMID:
15607091
20.

Diffusion-weighted and dynamic contrast-enhanced MRI of prostate cancer: correlation of quantitative MR parameters with Gleason score and tumor angiogenesis.

Oto A, Yang C, Kayhan A, Tretiakova M, Antic T, Schmid-Tannwald C, Eggener S, Karczmar GS, Stadler WM.

AJR Am J Roentgenol. 2011 Dec;197(6):1382-90. doi: 10.2214/AJR.11.6861.

PMID:
22109293
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