Effect of diabetes on brain structure: The action to control cardiovascular risk in diabetes MR imaging baseline data

Radiology

Volumn 272, Issue 1, 2014, Pages 210-216

  Bryan, R Nick ^a   Bilello, Michel ^a   Davatzikos, Christos ^a   Lazar, Ronald M ^b   Murray, Anne ^c   Horowitz, Karen ^d   Lovato, James ^e   Miller, Michael E ^e   Williamson, Jeff ^e   Launer, Lenore J ^f  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b Och Spine at New York Presbyterian Hospitals   (United States)

^c HENNEPIN COUNTY MEDICAL CENTER   (United States)

^d CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e WAKE FOREST SCHOOL OF MEDICINE   (United States)

^f NATIONAL INSTITUTE ON AGING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; HEMOGLOBIN A1C;

ADULT; AGED; ARTICLE; BRAIN ISCHEMIA; BRAIN SIZE; CAPSULA INTERNA; CARDIOVASCULAR RISK; CAUDATE NUCLEUS; CONTROLLED STUDY; DISEASE ASSOCIATION; DISEASE DURATION; DISEASE SEVERITY; FEMALE; GLOBUS PALLIDUS; GLUCOSE BLOOD LEVEL; GRAY MATTER; HEMOGLOBIN BLOOD LEVEL; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE; PRIORITY JOURNAL; PUTAMEN; WHITE MATTER;

AGED; ALGORITHMS; BLOOD GLUCOSE; BRAIN; CARDIOVASCULAR DISEASES; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; ORGAN SIZE; SEVERITY OF ILLNESS INDEX; TIME FACTORS;

EID: 84903729959     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.14131494     Document Type: Article

References (26)

1. Yue NC, Arnold AM, Longstreth WT Jr, et al. Sulcal, ventricular, and white matter changes at MR imaging in the aging brain: data from the cardiovascular health study. Radiology 1997;202(1):33-39. (Pubitemid 27024105)
2. de Leeuw FE, de Groot JC, Achten E, et al. Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study. J Neurol Neurosurg Psychiatry 2001;70(1):9-14. (Pubitemid 32096113)
3. Longstreth WT Jr, Manolio TA, Arnold A, et al. Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study. Stroke 1996;27(8):1274-1282. (Pubitemid 26286152)
4. Bots ML, van Swieten JC, Breteler MM, et al. Cerebral white matter lesions and atherosclerosis in the Rotterdam Study. Lancet 1993;341(8855):1232- 1237. (Pubitemid 23146928)
5. Pantoni L. Pathophysiology of age-related cerebral white matter changes. Cerebrovasc Dis 2002;13(Suppl 2):7-10. (Pubitemid 34233902)
6. De Groot JC, De Leeuw FE, Oudkerk M, et al. Periventricular cerebral white matter lesions predict rate of cognitive decline. Ann Neurol 2002;52(3):335-341. (Pubitemid 35001500)
7. Manschot SM, Brands AM, van der Grond J, et al. Brain magnetic resonance imaging correlates of impaired cognition in patients with type 2 diabetes. Diabetes 2006;55(4):1106-1113. (Pubitemid 44100188)
8. Luchsinger JA, Tang MX, Stern Y, Shea S, Mayeux R. Diabetes mellitus and risk of Alzheimer's disease and dementia with stroke in a multiethnic cohort. Am J Epidemiol 2001;154(7):635-641. (Pubitemid 32888781)
9. MacKnight C, Rockwood K, Awalt E, Mc-Dowell I. Diabetes mellitus and the risk of dementia, Alzheimer's disease and vascular cognitive impairment in the Canadian Study of Health and Aging. Dement Geriatr Cogn Disord 2002;14(2):77-83. (Pubitemid 36152948)
10. Yoshitake T, Kiyohara Y, Kato I, et al. Incidence and risk factors of vascular dementia and Alzheimer's disease in a defined elderly Japanese population: the Hisayama Study. Neurology 1995;45(6):1161-1168.
11. Saczynski JS, Siggurdsson S, Jonsson PV, et al. Glycemic status and brain injury in older individuals: the age gene/environment susceptibility-Reykjavik study. Diabetes Care 2009;32(9):1608-1613.
12. Schmidt R, Launer LJ, Nilsson LG, et al. Magnetic resonance imaging of the brain in diabetes: the Cardiovascular Determinants of Dementia (CASCADE) Study. Diabetes 2004;53(3):687-692. (Pubitemid 38270638)
13. Korf ES, van Straaten EC, de Leeuw FE, et al. Diabetes mellitus, hypertension and medial temporal lobe atrophy: the LADIS study. Diabet Med 2007;24(2):166-171. (Pubitemid 46174940)
14. Action to Control Cardiovascular Risk in Diabetes Study Group, Gerstein HC, Miller ME, et al. Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med 2008;358(24):2545-2559.
15. Williamson JD, Miller ME, Bryan RN, et al. The Action to Control Cardiovascular Risk in Diabetes Memory in Diabetes Study (AC-CORD-MIND): rationale, design, and methods. Am J Cardiol 2007;99(12A):112i-122i.
16. Launer LJ, Miller ME, Williamson JD, et al. Effects of intensive glucose lowering on brain structure and function in people with type 2 diabetes (ACCORD MIND): a randomised open-label substudy. Lancet Neurol 2011;10(11):969-977.
17. Lao Z, Shen D, Liu D, et al. Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine. Acad Radiol 2008;15(3):300-313. (Pubitemid 351246730)
18. Resnick SM, Pham DL, Kraut MA, Zonderman AB, Davatzikos C. Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain. J Neurosci 2003;23(8):3295-3301. (Pubitemid 36531970)
19. Musen G. Cognition and brain imaging in type 1 diabetes. Curr Diab Rep 2008;8(2):132-137.
20. van Harten B, de Leeuw FE, Weinstein HC, Scheltens P, Biessels GJ. Brain imaging in patients with diabetes: a systematic review. Diabetes Care 2006;29(11):2539-2548. (Pubitemid 44912267)
21. van Harten B, Oosterman J, Muslimovic D, van Loon BJ, Scheltens P, Weinstein HC. Cognitive impairment and MRI correlates in the elderly patients with type 2 diabetes mellitus. Age Ageing 2007;36(2):164-170. (Pubitemid 46455395)
22. Kapeller P, Barber R, Vermeulen RJ, et al. Visual rating of age-related white matter changes on magnetic resonance imaging: scale comparison, interrater agreement, and correlations with quantitative measurements. Stroke 2003;34(2):441-445. (Pubitemid 36210903)
23. Jongen C, van der Grond J, Kappelle LJ, et al. Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus. Diabetologia 2007;50(7):1509-1516. (Pubitemid 46879017)
24. Tiehuis AM, van der Graaf Y, Visseren FL, et al. Diabetes increases atrophy and vascular lesions on brain MRI in patients with symptomatic arterial disease. Stroke 2008;39(5):1600-1603.
25. Prins ND, van Straaten EC, van Dijk EJ, et al. Measuring progression of cerebral white matter lesions on MRI: visual rating and volumetrics. Neurology 2004;62(9):1533-1539. (Pubitemid 38608191)
26. Dyrby TB, Rostrup E, Baaré WF, et al. Segmentation of age-related white matter changes in a clinical multi-center study. Neuroimage 2008;41(2):335-345.