MR of Multi-Organ Involvement in the Metabolic Syndrome

Magnetic Resonance Imaging Clinics of North America

Volumn 23, Issue 1, 2015, Pages 41-58

  Bizino, Maurice B ^a   Sala, Michael L ^a   de Heer, Paul ^a   van der Tol, Pieternel ^a   Smit, Jan W A ^b   Webb, Andrew G ^a   de Roos, Albert ^a   Lamb, Hildebrandus J ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^b RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Diabetic cardiomyopathy; Ectopic lipid accumulation; Fat imaging; Magnetic resonance imaging; Magnetic resonance spectroscopy; Metabolic syndrome; Microstructural brain damage; Nonalcoholic fatty liver disease

Indexed keywords

ARTERIAL STIFFNESS; BRAIN DAMAGE; BROWN ADIPOSE TISSUE; CHRONIC KIDNEY DISEASE; CLINICAL ASSESSMENT; DIABETIC CARDIOMYOPATHY; DIASTOLIC DYSFUNCTION; DIFFUSION TENSOR IMAGING; DISEASE ASSOCIATION; DISEASE COURSE; ELASTOGRAPHY; ENERGY METABOLISM; EXTRACELLULAR SPACE; FATTY LIVER; FEEDING BEHAVIOR; HEART LEFT VENTRICLE HYPERTROPHY; HEART MUSCLE FIBROSIS; HEPATITIS; HUMAN; INTRAABDOMINAL FAT; LIPID STORAGE; LIVER CIRRHOSIS; LIVER FIBROSIS; METABOLIC SYNDROME X; MULTIPLE ORGAN FAILURE; MYOCARDIAL STEATOSIS; NONALCOHOLIC FATTY LIVER; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PATHOPHYSIOLOGY; PHOSPHATE METABOLISM; PHOSPHORUS NUCLEAR MAGNETIC RESONANCE; PROTON NUCLEAR MAGNETIC RESONANCE; REVIEW; STEATOSIS; WHITE ADIPOSE TISSUE; PATHOLOGY; PROCEDURES; VISCERA; WHOLE BODY IMAGING;

HUMANS; MAGNETIC RESONANCE IMAGING; METABOLIC SYNDROME X; MULTIPLE ORGAN FAILURE; VISCERA; WHOLE BODY IMAGING;

EID: 84919458550     PISSN: 10649689     EISSN: 15579786     Source Type: Journal    
DOI: 10.1016/j.mric.2014.09.010     Document Type: Review

References (34)

1. van der Meer R.W., Lamb H.J., Smit J.W., et al. MR imaging evaluation of cardiovascular risk in metabolic syndrome. Radiology 2012, 264(1):21-37.
2. Bamberg F., Parhofer K.G., Lochner E., et al. Diabetes mellitus: long-term prognostic value of whole-body MR imaging for the occurrence of cardiac and cerebrovascular events. Radiology 2013, 269(3):730-737.
3. Despres J.P., Lemieux I. Abdominal obesity and metabolic syndrome. Nature 2006, 444(7121):881-887.
4. Hu H.H., Kan H.E. Quantitative proton MR techniques for measuring fat. NMR Biomed 2013, 26(12):1609-1629.
5. Iozzo P. Myocardial, perivascular, and epicardial fat. Diabetes Care 2011, 34(Suppl 2):S371-S379.
6. Cobbold J.F., Patel D., Taylor-Robinson S.D. Assessment of inflammation and fibrosis in non-alcoholic fatty liver disease by imaging-based techniques. JGastroenterol Hepatol 2012, 27(8):1281-1292.
7. Kim D., Kim W.R., Talwalkar J.A., et al. Advanced fibrosis in nonalcoholic fatty liver disease: noninvasive assessment with MR elastography. Radiology 2013, 268(2):411-419.
8. Banerjee R., Pavlides M., Tunnicliffe E.M., et al. Multiparametric magnetic resonance for the non-invasive diagnosis of liver disease. JHepatol 2014, 60(1):69-77.
9. Bandula S., Banypersad S.M., Sado D., et al. Measurement of Tissue interstitial volume in healthy patients and those with amyloidosis with equilibrium contrast-enhanced MR imaging. Radiology 2013, 268(3):858-864.
10. Sevastianova K., Hakkarainen A., Kotronen A., et al. Nonalcoholic fatty liver disease: detection of elevated nicotinamide adenine dinucleotide phosphate with invivo 3-T 31P MR spectroscopy with proton decoupling. Radiology 2010, 256(2):466-473.
11. Shah R.V., Abbasi S.A., Kwong R.Y. Role of cardiac MRI in diabetes. Curr Cardiol Rep 2014, 16(2):449.
12. Widya R.L., van der Meer R.W., Smit J.W., et al. Right ventricular involvement in diabetic cardiomyopathy. Diabetes Care 2013, 36(2):457-462.
13. Bizino M.B., Hammer S., Lamb H.J. Metabolic imaging of the human heart: clinical application of magnetic resonance spectroscopy. Heart 2014, 100(11):881-890.
14. Messroghli D.R., Radjenovic A., Kozerke S., et al. Modified look-locker inversion recovery (MOLLI) for high-resolution T1 mapping of the heart. Magn Reson Med 2004, 52(1):141-146.
15. Piechnik S.K., Ferreira V.M., Dall'Armellina E., et al. Shortened modified look-locker inversion recovery (ShMOLLI) for clinical myocardial T1-mapping at 1.5 and 3 T within a 9 heartbeat breathhold. JCardiovasc Magn Reson 2010, 12:69.
16. Widya R.L., de Roos A., Trompet S., et al. Increased amygdalar and hippocampal volumes in elderly obese individuals with or at risk of cardiovascular disease. Am J Clin Nutr 2011, 93(6):1190-1195.
17. Smeets P.A., de G.C., Stafleu A., et al. Functional MRI of human hypothalamic responses following glucose ingestion. Neuroimage 2005, 24(2):363-368.
18. Vidarsdottir S., Smeets P.A., Eichelsheim D.L., et al. Glucose ingestion fails to inhibit hypothalamic neuronal activity in patients with type 2 diabetes. Diabetes 2007, 56(10):2547-2550.
19. Teeuwisse W.M., Widya R.L., Paulides M., et al. Short-term caloric restriction normalizes hypothalamic neuronal responsiveness to glucose ingestion in patients with type 2 diabetes. Diabetes 2012, 61(12):3255-3259.
20. Kloppenborg R.P., Nederkoorn P.J., Grool A.M., et al. Cerebral small-vessel disease and progression of brain atrophy: the SMART-MR study. Neurology 2012, 79(20):2029-2036.
21. Sala M., de R.A., Berg A.V., et al. Microstructural brain tissue damage in metabolic syndrome. Diabetes Care 2014, 37(2):493-500.
22. Shimoji K., Abe O., Uka T., et al. White matter alteration in metabolic syndrome: diffusion tensor analysis. Diabetes Care 2013, 36(3):696-700.
23. Seiler S., Cavalieri M., Schmidt R. Vascular cognitive impairment - an ill-defined concept with the need to define its vascular component. JNeurol Sci 2012, 322(1-2):11-16.
24. Roes S.D., Alizadeh D.R., Westenberg J.J., et al. Assessment of aortic pulse wave velocity and cardiac diastolic function in subjects with and without the metabolic syndrome: HDL cholesterol is independently associated with cardiovascular function. Diabetes Care 2008, 31(7):1442-1444.
25. Brandts A., van Elderen S.G., Westenberg J.J., et al. Association of aortic arch pulse wave velocity with left ventricular mass and lacunar brain infarcts in hypertensive patients: assessment with MR imaging. Radiology 2009, 253(3):681-688.
26. Mitchell G.F., van Buchem M.A., Sigurdsson S., et al. Arterial stiffness, pressure and flow pulsatility and brain structure and function: the age, gene/environment susceptibility - Reykjavik study. Brain 2011, 134(Pt 11):3398-3407.
27. Singh A.K., Kari J.A. Metabolic syndrome and chronic kidney disease. Curr Opin Nephrol Hypertens 2013, 22(2):198-203.
28. Peng X.G., Bai Y.Y., Fang F., et al. Renal lipids and oxygenation in diabetic mice: noninvasive quantification with MR imaging. Radiology 2013, 269(3):748-757.
29. Hammer S., de Vries A.P., de Heer P., et al. Metabolic imaging of human kidney triglyceride content: reproducibility of proton magnetic resonance spectroscopy. PLoS One 2013, 8(4):e62209.
30. Xie L., Sparks M.A., Li W., et al. Quantitative susceptibility mapping of kidney inflammation and fibrosis in type 1 angiotensin receptor-deficient mice. NMR Biomed 2013, 26(12):1853-1863.
31. Wong V.W., Wong G.L., Yeung D.K., et al. Fatty pancreas, insulin resistance, and beta-cell function: a population study using fat-water magnetic resonance imaging. Am J Gastroenterol 2014, 109(4):589-597.
32. Flannery C., Dufour S., Rabol R., et al. Skeletal muscle insulin resistance promotes increased hepatic de novo lipogenesis, hyperlipidemia, and hepatic steatosis in the elderly. Diabetes 2012, 61(11):2711-2717.
33. Boesch C., Machann J., Vermathen P., et al. Role of proton MR for the study of muscle lipid metabolism. NMR Biomed 2006, 19:968-988.
34. Kemp G.J., Brindle K.M. What do magnetic resonance-based measurements of Pi - ATP flux tell us about skeletal muscle metabolism?. Diabetes 2012, 61:1927-1934.