Magnetic resonance elastography noninvasively detects in vivo renal medullary fibrosis secondary to swine renal artery stenosis

Investigative Radiology

Volumn 48, Issue 2, 2013, Pages 61-68

  Korsmo, Michael J ^a   Ebrahimi, Behzad ^a   Eirin, Alfonso ^a   Woollard, John R ^a   Krier, James D ^a   Crane, John A ^a   Warner, Lizette ^b   Glaser, Kevin ^a   Grimm, Roger ^a   Ehman, Richard L ^a   Lerman, Lilach O ^a  

^a MAYO CLINIC   (United States)

^b PHILIPS HEALTHCARE   (United States)

Author keywords

fibrosis; magnetic resonance elastography; renal artery stenosis

Indexed keywords

CREATININE; IOPAMIDOL; LOW DENSITY LIPOPROTEIN CHOLESTEROL;

ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; CHOLESTEROL BLOOD LEVEL; CONTRAST ENHANCEMENT; CONTROLLED STUDY; CORRELATION ANALYSIS; CREATININE BLOOD LEVEL; DISEASE COURSE; DISEASE EXACERBATION; ELASTOGRAPHY; EX VIVO STUDY; GLOMERULUS FILTRATION RATE; HEMODYNAMICS; HISTOPATHOLOGY; IMAGE RECONSTRUCTION; IN VIVO STUDY; KIDNEY ARTERY STENOSIS; KIDNEY BLOOD FLOW; KIDNEY CORTEX; KIDNEY FIBROSIS; KIDNEY MEDULLA; KIDNEY MEDULLARY FIBROSIS; KIDNEY PARENCHYMA; KIDNEY PERFUSION; MAGNETIC RESONANCE ELASTOGRAPHY; MEAN ARTERIAL PRESSURE; MULTIDETECTOR COMPUTED TOMOGRAPHY; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RIGIDITY; SCORING SYSTEM; SWINE; THREE DIMENSIONAL IMAGING;

EID: 84872295168     PISSN: 00209996     EISSN: 15360210     Source Type: Journal    
DOI: 10.1097/RLI.0b013e31827a4990     Document Type: Article

References (25)

1. Textor SC, Lerman L. Renovascular hypertension and ischemic nephropathy. Am J Hypertens. 2010;23:1159-1169.
2. Lerman LO, Textor SC, Grande JP. Mechanisms of tissue injury in renal artery stenosis: ischemia and beyond. Prog Cardiovasc Dis. 2009;52:196-203.
3. Greenleaf JF, Fatemi M, Insana M. Selected methods for imaging elastic properties of biological tissues. Annu Rev Biomed Eng. 2003;5:57-78.
4. Yin M, Chen J, Glaser KJ, et al. Abdominal magnetic resonance elastography. Top Magn Reson Imaging. 2009;20:79-87.
5. Streitberger KJ, Sack I, Krefting D, et al. Brain viscoelasticity alteration in chronic-progressive multiple sclerosis. PLoS One. 2012;7:e29888.
6. Warner L, Yin M, Glaser KJ, et al. Noninvasive in vivo assessment of renal tissue elasticity during graded renal ischemia using MR elastography. Invest Radiol. 2011;46:509-514.
7. Lee CU, Glockner JF, Glaser KJ, et al. MR elastography in renal transplant patients and correlation with renal allograft biopsy: a feasibility study. Acad Radiol. 2012;19:834-841.
8. Lerman LO, Schwartz RS, Grande JP, et al. Noninvasive evaluation of a novel swine model of renal artery stenosis. J Am Soc Nephrol. 1999;10:1455-1465.
9. Ebrahimi B, GloviczkiM,Woollard JR, et al. Compartmental analysis of renal BOLD MRI data: introduction and validation. Invest Radiol. 2012;47: 175-182.
10. Krier JD, Ritman EL, Bajzer Z, et al. Noninvasive measurement of concurrent single-kidney perfusion, glomerular filtration, and tubular function. Am J Physiol Renal Physiol. 2001;281:F630YF638.
11. Daghini E, Primak AN, Chade AR, et al. Assessment of renal hemodynamics and function in pigs with 64-section multidetector CT: comparison with electron-beam CT. Radiology. 2007;243:405-412.
12. Nangaku M, Alpers CE, Pippin J, et al. CD59 protects glomerular endothelial cells from immune-mediated thrombotic microangiopathy in rats. J Am Soc Nephrol. 1998;9:590-597.
13. Eirin A, Zhu XY, Krier JD, et al. Adipose tissue-derived mesenchymal stem cells improve revascularization outcomes to restore renal function in swine atherosclerotic renal artery stenosis. Stem Cells. 2012;30:1030-1041.
14. Urbieta-Caceres VH, Lavi R, Zhu XY, et al. Early atherosclerosis aggravates the effect of renal artery stenosis on the swine kidney. Am J Physiol Renal Physiol. 2010;299:F135YF140.
15. Yildirim E, Kirbas I, Teksam M, et al. Diffusion-weighted MR imaging of kidneys in renal artery stenosis. Eur J Radiol. 2008;65:148-153.
16. Cova M, Squillaci E, Stacul F, et al. Diffusion-weighted MRI in the evaluation of renal lesions: preliminary results. Br J Radiol. 2004;77:851-857.
17. Chandarana H, Lee VS, Hecht E, et al. Comparison of biexponential and monoexponential model of diffusion weighted imaging in evaluation of renal lesions: preliminary experience. Invest Radiol. 2011;46:285-291.
18. Giannarini G, Petralia G, Thoeny HC. Potential and limitations of diffusionweighted magnetic resonance imaging in kidney, prostate, and bladder cancer including pelvic lymph node staging: a critical analysis of the literature. Eur Urol. 2012;61:326-340.
19. Amador C, Urban MW, Warner LV, et al. In vitro renal cortex elasticity and viscosity measurements with shearwave dispersion ultrasound vibrometry (SDUV) on swine kidney. Conf Proc IEEE Eng Med Biol Soc. 2009;2009: 4428-4431.
20. Rosenkrantz AB, Storey P, Gilet AG, et al. Magnetization transfer contrastprepared MR imaging of the liver: inability to distinguish healthy from cirrhotic liver. Radiology. 2012;262:136-143.
21. Talwalkar JA, Yin M, Fidler JL, et al. Magnetic resonance imaging of hepatic fibrosis: emerging clinical applications. Hepatology. 2008;47:332-342.
22. Yin M,Woollard J,Wang X, et al. Quantitative assessment of hepatic fibrosis in an animal model with magnetic resonance elastography. Magn Reson Med. 2007;58:346-353.
23. Binkovitz LA, El-Youssef M, Glaser KJ, et al. Pediatric MR elastography of hepatic fibrosis: principles, technique and early clinical experience. Pediatr Radiol. 2012;42:402-409.
24. Hines CD, Lindstrom MJ, Varma AK, et al. Effects of postprandial state and mesenteric blood flow on the repeatability of MR elastography in asymptomatic subjects. J Magn Reson Imaging. 2011;33:239-244.
25. Lerman LO, Taler SJ, Textor SC, et al. Computed tomography-derived intrarenal blood flow in renovascular and essential hypertension. Kidney Int. 1996;49:846-854.