White matter microstructure improves stroke risk prediction in the general population

Stroke

Volumn 47, Issue 11, 2016, Pages 2756-2762

  Evans, Tavia E ^a,b   O'Sullivan, Michael J ^b   De Groot, Marius ^a   Niessen, Wiro J ^a,c   Hofman, Albert ^a,d   Krestin, Gabriel P ^a   Van Der Lugt, Aad ^a   Portegies, Marileen L P ^a   Koudstaal, Peter J ^a   Bos, Daniel ^a,d   Vernooij, Meike W ^a   Ikram, M Arfan ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

aging; diffusion tensor imaging; prediction; quality of life; stroke

Indexed keywords

ADULT; ARTICLE; CEREBROVASCULAR ACCIDENT; DIAGNOSTIC TEST ACCURACY STUDY; DIFFUSION WEIGHTED IMAGING; FEMALE; FOLLOW UP; FRACTIONAL ANISOTROPY; FRAMINGHAM RISK SCORE; HUMAN; LACUNAR STROKE; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTIVE VALUE; PRIORITY JOURNAL; WHITE MATTER; WHITE MATTER LESION; AGED; CARDIOVASCULAR DISEASES; DIAGNOSTIC IMAGING; NETHERLANDS; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; PROGNOSIS; RISK ASSESSMENT; STROKE; STROKE, LACUNAR;

AGED; CARDIOVASCULAR DISEASES; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; FOLLOW-UP STUDIES; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NETHERLANDS; PROGNOSIS; RISK ASSESSMENT; STROKE; STROKE, LACUNAR; WHITE MATTER;

EID: 84991475061     PISSN: 00392499     EISSN: 15244628     Source Type: Journal    
DOI: 10.1161/STROKEAHA.116.014651     Document Type: Article

References (32)

1. Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2095-2128. doi: 10.1016/S0140-6736(12)61728-0.
2. Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-Adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2197-2223. doi: 10.1016/S0140-6736(12)61689-4.
3. Vermeer SE, Hollander M, van Dijk EJ, Hofman A, Koudstaal PJ, Breteler MM; Rotterdam Scan Study. Silent brain infarcts and white matter lesions increase stroke risk in the general population: the Rotterdam Scan Study. Stroke. 2003;34:1126-1129. doi: 10.1161/01. STR.0000068408.82115.D2.
4. Vermeer SE, Longstreth WT Jr, Koudstaal PJ. Silent brain infarcts: a systematic review. Lancet Neurol. 2007;6:611-619. doi: 10.1016/S1474-4422(07)70170-9.
5. Buyck JF, Dufouil C, Mazoyer B, Maillard P, Ducimetière P, Alperovitch A, et al. Cerebral white matter lesions are associated with the risk of stroke but not with other vascular events: the 3-City Dijon Study. Stroke. 2009;40:2327-2331. doi: 10.1161/STROKEAHA.109.548222.
6. Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-Analysis. BMJ. 2010;341:c3666.
7. de Groot M, Verhaaren BF, de Boer R, Klein S, Hofman A, van der Lugt A, et al. Changes in normal-Appearing white matter precede development of white matter lesions. Stroke. 2013;44:1037-1042. doi: 10.1161/STROKEAHA.112.680223.
8. Maillard P, Carmichael O, Harvey D, Fletcher E, Reed B, Mungas D, et al. FLAIR and diffusion MRI signals are independent predictors of white matter hyperintensities. AJNR Am J Neuroradiol. 2013;34:54-61. doi: 10.3174/ajnr.A3146.
9. Reijmer YD, Freeze WM, Leemans A, Biessels GJ; Utrecht Vascular Cognitive Impairment Study Group. The effect of lacunar infarcts on white matter tract integrity. Stroke. 2013;44:2019-2021. doi: 10.1161/STROKEAHA.113.001321.
10. Hofman A, Brusselle GG, Darwish Murad S, van Duijn CM, Franco OH, Goedegebure A, et al. The Rotterdam Study: 2016 objectives and design update. Eur J Epidemiol. 2015;30:661-708. doi: 10.1007/s10654-015-0082-x.
11. Ikram MA, van der Lugt A, Niessen WJ, Koudstaal PJ, Krestin GP, Hofman A, et al. The Rotterdam Scan Study: design update 2016 and main findings. Eur J Epidemiol. 2015;30:1299-1315. doi: 10.1007/s10654-015-0105-7.
12. Vrooman HA, Cocosco CA, van der Lijn F, Stokking R, Ikram MA, Vernooij MW, et al. Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification. Neuroimage. 2007;37:71-81. doi: 10.1016/j.neuroimage.2007.05.018.
13. de Boer R, Vrooman HA, van der Lijn F, Vernooij MW, Ikram MA, van der Lugt A, et al. White matter lesion extension to automatic brain tissue segmentation on MRI. Neuroimage. 2009;45:1151-1161. doi: 10.1016/j. neuroimage.2009.01.011.
14. Vernooij MW, Ikram MA, Vrooman HA, Wielopolski PA, Krestin GP, Hofman A, et al. White matter microstructural integrity and cognitive function in a general elderly population. Arch Gen Psychiatry. 2009;66:545-553. doi: 10.1001/archgenpsychiatry.2009.5.
15. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TE, Johansen-Berg H, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004;23(suppl 1):S208-S219. doi: 10.1016/j.neuroimage.2004.07.051.
16. de Groot M, Ikram MA, Akoudad S, Krestin GP, Hofman A, van der Lugt A, et al. Tract-specific white matter degeneration in aging: the Rotterdam Study. Alzheimers Dement. 2015;11:321-330. doi: 10.1016/j. jalz.2014.06.011.
17. Hatano S. Experience from a multicentre stroke register: a preliminary report. Bull World Health Organ. 1976;54:541-553.
18. Wieberdink RG, Ikram MA, Hofman A, Koudstaal PJ, Breteler MM. Trends in stroke incidence rates and stroke risk factors in Rotterdam, the Netherlands from 1990 to 2008. Eur J Epidemiol. 2012;27:287-295. doi: 10.1007/s10654-012-9673-y.
19. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA. 2001;285:2486-2497.
20. Sokolow M, Lyon TP. The ventricular complex in left ventricular hypertrophy as obtained by unipolar precordial and limb leads. Am Heart J. 1949;37:161-186.
21. Leening MJ, Kavousi M, Heeringa J, van Rooij FJ, Verkroost-van Heemst J, Deckers JW, et al. Methods of data collection and definitions of cardiac outcomes in the Rotterdam Study. Eur J Epidemiol. 2012;27:173-185. doi: 10.1007/s10654-012-9668-8.
22. Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46:399-424. doi: 10.1080/00273171.2011.568786.
23. Wolf PA, D'Agostino RB, Belanger AJ, Kannel WB. Probability of stroke: a risk profile from the Framingham Study. Stroke. 1991;22:312-318.
24. Pencina MJ, D'Agostino RB. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Stat Med. 2004;23:2109-2123. doi: 10.1002/sim.1802.
25. May S, Hosmer DW. A simplified method of calculating an overall goodness-of-fit test for the Cox proportional hazards model. Lifetime Data Anal. 1998;4:109-120.
26. Pencina MJ, D'Agostino RB, Pencina KM, Janssens ACJW, Greenland P. Interpreting incremental value of markers added to risk prediction models. Am J Epidemiol. 2012;176:473-481.
27. Leening MJ, Vedder MM, Witteman JC, Pencina MJ, Steyerberg EW. Net reclassification improvement: computation, interpretation, and controversies: a literature review and clinician's guide. Ann Intern Med. 2014;160:122-131. doi: 10.7326/M13-1522.
28. Kuller LH, Longstreth WT Jr, Arnold AM, Bernick C, Bryan RN, Beauchamp NJ Jr; Cardiovascular Health Study Collaborative Research Group. White matter hyperintensity on cranial magnetic resonance imaging: a predictor of stroke. Stroke. 2004;35:1821-1825. doi: 10.1161/01. STR.0000132193.35955.69.
29. Friedman JI, Tang CY, de Haas HJ, Changchien L, Goliasch G, Dabas P, et al. Brain imaging changes associated with risk factors for cardiovascular and cerebrovascular disease in asymptomatic patients. JACC Cardiovasc Imaging. 2014;7:1039-1053. doi: 10.1016/j.jcmg.2014.06.014.
30. Jones DK, Knösche TR, Turner R. White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI. Neuroimage. 2013;73:239-254. doi: 10.1016/j.neuroimage.2012.06.081.
31. Pantoni L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. 2010;9:689-701. doi: 10.1016/S1474-4422(10)70104-6.
32. Sun X, Salat D, Upchurch K, Deason R, Kowall N, Budson A; Alzheimer's Disease Neuroimaging Initiative. Destruction of white matter integrity in patients with mild cognitive impairment and Alzheimer disease. J Investig Med. 2014;62:927-933. doi: 10.1097/JIM.0000000000000102.