An automated procedure for the assessment of white matter hyperintensities by multispectral (T1, T2, PD) MRI and an evaluation of its between-centre reproducibility based on two large community databases

Neuroradiology

Volumn 50, Issue 1, 2008, Pages 31-42

  Maillard, Pauline ^a   Delcroix, Nicolas ^a   Crivello, Fabrice ^a   Dufouil, Carole ^b   Gicquel, Sebastien ^a   Joliot, Marc ^a   Tzourio Mazoyer, Nathalie ^a   Alpérovitch, Annick ^b   Tzourio, Christophe ^b   Mazoyer, Bernard ^a,c,d  

^a GIP CYCERON   (France)

^b INSERM   (France)

^c INSTITUT UNIVERSITAIRE DE FRANCE   (France)

^d CAEN UNIVERSITY HOSPITAL   (France)

Author keywords

Aging; Hypertension; Reproducibility; T2 MRI; White matter hyperintensities

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; AUTOANALYSIS; BRAIN SIZE; CONTRAST ENHANCEMENT; DATA BASE; DEMOGRAPHY; FEMALE; HUMAN; HYPERTENSION; MALE; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; WHITE MATTER;

AGED; ALGORITHMS; BRAIN DISEASES; BRAIN ISCHEMIA; CHRONIC DISEASE; COGNITION DISORDERS; DEMYELINATING DISEASES; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; HYPERTENSION; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MENTAL STATUS SCHEDULE; MIDDLE AGED; NERVE FIBERS, MYELINATED; OBSERVER VARIATION; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SOFTWARE;

EID: 37549046722     PISSN: 00283940     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00234-007-0312-3     Document Type: Article

References (59)

1. van Gijn J (2000) White matters: small vessels and slow thinking in old age. Lancet 356:612-613
2. Rosenberg GA (1997) White matter disorders. In: Welch KMA, Caplan LR, Reis DJ, Siesjo BK, Weir B (eds) Primer on cerebrovascular diseases. Academic Press, New York, pp 371-375
3. Salonen O, Autti T, Raininko R, Ylikoski A, Erkinjuntti T (1997) MRI of the brain in neurologically healthy middle-aged and elderly individuals. Neuroradiology 39:537-545
4. Briley DP, Haroon S, Sergent SM, Thomas S (2000) Does leukoaraiosis predict morbidity and mortality? Neurology 54:90-94
5. de Groot JC, de Leeuw FE, Oudkerk M, Van GJ, Hofman A, Jolles J, Breteler MM (2000) Cerebral white matter lesions and cognitive function: the Rotterdam Scan Study. Ann Neurol 47:145-151
6. Hickie I, Scott E, Wilhelm K, Brodaty H (1997) Subcortical hyperintensities on magnetic resonance imaging in patients with severe depression-a longitudinal evaluation. Biol Psychiatry 42:367-374
7. Longstreth WT Jr, Manolio TA, Arnold A, Burke GL, Bryan N, Jungreis CA, Enright PL, O'Leary D, Fried L (1996) Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study. Stroke 27:1274-1282
8. Pantoni L, Leys D, Fazekas F, Longstreth WT Jr., Inzitari D, Wallin A, Filippi M, Scheltens P, Erkinjuntti T, Hachinski V (1999) Role of white matter lesions in cognitive impairment of vascular origin. Alzheimer Dis Assoc Disord 13[Suppl 3]:S49-S54
9. Baum KA, Schulte C, Girke W, Reischies FM, Felix R (1996) Incidental white-matter foci on MRI in "healthy" subjects: evidence of subtle cognitive dysfunction. Neuroradiology 38:755-760
10. Pantoni L, Garcia JH (1995) The significance of cerebral white matter abnormalities 100 years after Binswanger's report. A review. Stroke 26:1293-1301
11. Raz N, Rodrigue KM (2006) Differential aging of the brain: patterns, cognitive correlates and modifiers. Neurosci Biobehav Rev 30:730-748
12. Dufouil C, Kersaint-Gilly A, Besancon V, Levy C, Auffray E, Brunnereau L, Alperovitch A, Tzourio C (2001) Longitudinal study of blood pressure and white matter hyperintensities: the EVA MRI Cohort. Neurology 56:921-926
13. Horikoshi T, Yagi S, Fukamachi A (1993) Incidental high-intensity foci in white matter on T2-weighted magnetic resonance imaging. Frequency and clinical significance in symptom-free adults. Neuroradiology 35:151-155
14. Nebes RD, Vora IJ, Meltzer CC, Fukui MB, Williams RL, Kamboh MI, Saxton J, Houck PR, DeKosky ST, Reynolds CF III (2001) Relationship of deep white matter hyperintensities and apolipoprotein E genotype to depressive symptoms in older adults without clinical depression. Am J Psychiatry 158:878-884
15. Stenset V, Johnsen L, Kocot D, Negaard A, Skinningsrud A, Gulbrandsen P, Wallin A, Fladby T (2006) Associations between white matter lesions, cerebrovascular risk factors, and low CSF Abeta42. Neurology 67:830-833
16. de Leeuw FE, Richard F, de Groot JC, van Duijn CM, Hofman A, Van GJ, Breteler MM (2004) Interaction between hypertension, apoE and cerebral white matter lesions. Stroke 35:1057-1060
17. Liao D, Cooper L, Cai J, Toole JF, Bryan NR, Hutchinson RG, Tyroler HA (1996) Presence and severity of cerebral white matter lesions and hypertension, its treatment, and its control. The ARIC Study. Atherosclerosis risk in communities study. Stroke 27:2262-2270
18. Bots ML, van Swieten JC, Breteler MM, de Jong PT, Van GJ, Hofman A, Grobbee DE (1993) Cerebral white matter lesions and atherosclerosis in the Rotterdam study. Lancet 341:1232-1237
19. Fried LP, Borhani NO, Enright P, Furberg CD, Gardin JM, Kronmal RA, Kuller LH, Manolio TA, Mittelmark MB, Newman A (1991) The cardiovascular health study: design and rationale. Ann Epidemiol 1:263-276
20. Mantyla R, Erkinjuntti T, Salonen O, Aronen HJ, Peltonen T, Pohjasvaara T, Standertskjold-Nordenstam CG (1997) Variable agreement between visual rating scales for white matter hyperintensities on MRI. Comparison of 13 rating scales in a poststroke cohort. Stroke 28:1614-1623
21. van den Heuvel DM, ten Dam VH, de Craen AJ, Admiraal-Behloul F, van Es AC, Palm WM, Spilt A, Bollen EL, Blauw GJ, Launer L, Westendorp RG, van Buchem MA (2006) Measuring longitudinal white matter changes: comparison of a visual rating scale with a volumetric measurement. Am J Neuroradiol 27:875-878
22. Jack CR Jr, O'Brien PC, Rettman DW, Shiung MM, Xu Y, Muthupillai R, Manduca A, Avula R, Erickson BJ (2001) FLAIR histogram segmentation for measurement of leukoaraiosis volume. J Magn Reson Imaging 14:668-676
23. Wen W, Sachdev P (2004) The topography of white matter hyperintensities on brain MRI in healthy 60- to 64-year-old individuals. Neuroimage 22:144-154
24. Admiraal-Behloul F, van den Heuvel DM, Olofsen H, van Osch MJ, van der GJ, van Buchem MA, Reiber JH (2005) Fully automatic segmentation of white matter hyperintensities in MR images of the elderly. Neuroimage 28:607-617
25. Wu M, Rosano C, Lopez-Garcia P, Carter CS, Aizenstein HJ (2007) Optimum template selection for atlas-based segmentation. Neuroimage 34:1612-1618
26. Bakshi R, Caruthers SD, Janardhan V, Wasay M (2000) Intraventricular CSF pulsation artifact on fast fluid-attenuated inversion-recovery MR images: analysis of 100 consecutive normal studies. Am J Neuroradiol 21:503-508
27. Bakshi R, Ariyaratana S, Benedict RH, Jacobs L (2001) Fluid-attenuated inversion recovery magnetic resonance imaging detects cortical and juxtacortical multiple sclerosis lesions. Arch Neurol 58:742-748
28. Tanaka N, Abe T, Kojima K, Nishimura H, Hayabuchi N (2000) Applicability and advantages of flow artifact-insensitive fluid-attenuated inversion-recovery MR sequences for imaging the posterior fossa. Am J Neuroradiol 21:1095-1098
29. Mueller SG, Weiner MW, Thal LJ, Petersen RC, Jack CR, Jagust W, Trojanowski JQ, Toga AW, Beckett L (2005) Ways toward an early diagnosis in Alzheimer's disease: The Alzheimer's Disease Neuroimaging Initiative (ADNI). Alzheimers Dement 1:55-66
30. Alperovitch A, Amouyel P, Dartigues JF, Ducimetiere P, Mazoyer B, Ritchie K, Tzourio C (2002) Epidemiological studies on aging in France: from the PAQUID study to the Three-City study. CR Biol 325:665-672
31. Woods RP, Grafton ST, Holmes CJ, Cherry SR, Mazziotta JC (1998) Automated image registration: I. General methods and intrasubject, intramodality validation. J Comput Assist Tomogr 22:139-152
32. Pietrzyk U, Herholz K, Fink G, Jacobs A, Mielke R, Slansky I, Wurker M, Heiss WD (1994) An interactive technique for three-dimensional image registration: validation for PET, SPECT, MRI and CT brain studies. J Nucl Med 35:2011-2018
33. Verard L, Allain P, Travere JM, Baron JC, Bloyet D (1997) Fully automatic identification of AC and PC landmarks on brain MRI using scene analysis. IEEE Trans Med Imaging 16:610-616
34. Gicquel S (1998) Détection, quantification et localisation automatiques des hypersignaux de la substance blanche en Imagerie par Résonance Magnétique. PhD thesis, Université de Caen, Caen
35. Zijdenbos AP, Dawant BM (1994) Brain segmentation and white matter lesion detection in MR images. Crit Rev Biomed Eng 22:401-465
36. Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14:21-36
37. Friston KJ, Holmes AP, Worsley KJ, Poline JB, Frith CD, Frackowiak RSJ (1995) Statistical parametric maps in functional imaging: A general approach. Hum Brain Mapp 2:189-210
38. Ashburner J, Friston KJ (2000) Voxel-based morphometry - the methods. Neuroimage 11:805-821
39. Lemaitre H, Crivello F, Grassiot B, Alperovitch A, Tzourio C, Mazoyer B (2005) Age- and sex-related effects on the neuroanatomy of healthy elderly. Neuroimage 26:900-911
40. Scheltens P, Barkhof F, Valk J, Algra PR, van der Hoop RG, Nauta J, Wolters EC (1992) White matter lesions on magnetic resonance imaging in clinically diagnosed Alzheimer's disease. Evidence for heterogeneity. Brain 115:735-748
41. Johnston B (1994) Three-dimensional partial volume brain tissue segmentation of multispectral magnetic resonance images using stochastic relaxation. SPIE Non-Linear Image Processing VI 2180:268-279
42. Rajapakse JC, DeCarli C, McLaughlin A, Giedd JN, Krain AL, Hamburger SD, Rapoport JL (1996) Cerebral magnetic resonance image segmentation using data fusion. J Comput Assist Tomogr 20:206-218
43. Hebert TJ (1997) Fast iterative segmentation of high resolution medical images. IEEE Nucl Sci 44:1362-1367
44. Sajja BR, Datta S, He R, Mehta M, Gupta RK, Wolinsky JS, Narayana PA (2006) Unified approach for multiple sclerosis lesion segmentation on brain MRI. Ann Biomed Eng 34:142-151
45. DeCarli C, Fletcher E, Ramey V, Harvey D, Jagust WJ (2005) Anatomical mapping of white matter hyperintensities (WMH): exploring the relationships between periventricular WMH, deep WMH, and total WMH burden. Stroke 36:50-55
46. Enzinger C, Smith S, Fazekas F, Drevin G, Ropele S, Nichols T, Behrens T, Schmidt R, Matthews PM (2006) Lesion probability maps of white matter hyperintensities in elderly individuals: results of the Austrian stroke prevention study. J Neurol 253:1064-1070
47. Yoshita M, Fletcher E, Harvey D, Ortega M, Martinez O, Mungas DM, Reed BR, DeCarli C (2006) Extent and distribution of white matter hyperintensities in normal aging, MCI,and AD. Neurology 67:2192-2198
48. Whitman GT, Tang Y, Lin A, Baloh RW (2001) A prospective study of cerebral white matter abnormalities in older people with gait dysfunction. Neurology 57:990-994
49. Taylor WD, MacFall JR, Provenzale JM, Payne ME, McQuoid DR, Steffens DC, Krishnan KR (2003) Serial MR imaging of volumes of hyperintense white matter lesions in elderly patients: correlation with vascular risk factors. Am J Roentgenol 181:571-576
50. van den Heuvel DM, ten Dam VH, de Craen AJ, Admiraal-Behloul F, Olofsen H, Bollen EL, Jolles J, Murray HM, Blauw GJ, Westendorp RG, van Buchem MA (2006) Increase in periventricular white matter hyperintensities parallels decline in mental processing speed in a non-demented elderly population. J Neurol Neurosurg Psychiatry 77:149-153
51. van Dijk EJ, Breteler MM, Schmidt R, Berger K, Nilsson LG, Oudkerk M, Pajak A, Sans S, de RM, Dufouil C, Fuhrer R, Giampaoli S, Launer LJ, Hofman A (2004) The association between blood pressure, hypertension, and cerebral white matter lesions: cardiovascular determinants of dementia study. Hypertension 44:625-630
52. Dufouil C, Chalmers J, Coskun O, Besancon V, Bousser MG, Guillon P, MacMahon S, Mazoyer B, Neal B, Woodward M, Tzourio-Mazoyer N, Tzourio C (2005) Effects of blood pressure lowering on cerebral white matter hyperintensities in patients with stroke: the PROGRESS (Perindopril Protection Against Recurrent Stroke Study) Magnetic resonance imaging substudy. Circulation 112:1644-1650
53. Park MK, Jo I, Park MH, Kim TK, Jo SA, Shin C (2005) Cerebral white matter lesions and hypertension status in the elderly Korean: the Ansan Study. Arch Gerontol Geriatr 40:265-273
54. Launer LJ, Berger K, Breteler MM, Dufouil C, Fuhrer R, Giampaoli S, Nilsson LG, Pajak A, de RM, van Dijk EJ, Sans S, Schmidt R, Hofman A (2006) Regional variability in the prevalence of cerebral white matter lesions: an MRI study in 9 European countries (CASCADE). Neuroepidemiology 26:23-29
55. de Leeuw FE, de Groot JC, Achten E, Oudkerk M, Ramos LM, Heijboer R, Hofman A, Jolles J, Van GJ, Breteler MM (2001) Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam scan study. J Neurol Neurosurg Psychiatry 70:9-14
56. van Straaten EC, Fazekas F, Rostrup E, Scheltens P, Schmidt R, Pantoni L, Inzitari D, Waldemar G, Erkinjuntti T, Mantyla R, Wahlund LO, Barkhof F (2006) Impact of white matter hyperintensities scoring method on correlations with clinical data: the LADIS study. Stroke 37:836-840
57. Bae SC, Lyoo IK, Sung YH, Yoo J, Chung A, Yoon SJ, Kim DJ, Hwang J, Kim SJ, Renshaw PF (2006) Increased white matter hyperintensities in male methamphetamine abusers. Drug Alcohol Depend 81:83-88
58. Leuchter AF, Dunkin JJ, Lufkin RB, Anzai Y, Cook IA, Newton TF (1994) Effect of white matter disease on functional connections in the aging brain. J Neurol Neurosurg Psychiatry 57:1347-1354
59. Soderlund H, Nilsson LG, Berger K, Breteler MM, Dufouil C, Fuhrer R, Giampaoli S, Hofman A, Pajak A, de RM, Sans S, Schmidt R, Launer LJ (2006) Cerebral changes on MRI and cognitive function: the CASCADE study. Neurobiol Aging 27:16-23