The value of hippocampal and temporal horn volumes and rates of change in predicting future conversion to ad

Alzheimer Disease and Associated Disorders

Volumn 27, Issue 2, 2013, Pages 168-173

  Macdonald, Kate E ^a   Bartlett, Jonathan W ^b   Leung, Kelvin K ^a   Ourselin, Sebastien ^c   Barnes, Josephine ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Alzheimer disease; atrophy; hippocampus; longitudinal studies; magnetic resonance imaging

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN ATROPHY; BRAIN REGION; BRAIN SIZE; BRAIN VENTRICLE; CONTROLLED STUDY; DISEASE COURSE; FEMALE; HIPPOCAMPUS; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; PREDICTIVE VALUE; PRIORITY JOURNAL; PROGNOSIS; TEMPORAL HORN;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; ATROPHY; DISEASE PROGRESSION; FEMALE; HIPPOCAMPUS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MILD COGNITIVE IMPAIRMENT; PROGNOSIS; TEMPORAL LOBE;

EID: 84878826187     PISSN: 08930341     EISSN: None     Source Type: Journal    
DOI: 10.1097/WAD.0b013e318260a79a     Document Type: Article

References (42)

1. Ferri CP, Prince M, Brayne C, et al. Global prevalence of dementia: a Delphi consensus study. Lancet. 2005;366:2112-2117.
2. Jellinger KA. Clinicopathological analysis of dementia disorders in the elderly-an update. J Alzheimers Dis. 2006;9:61-70.
3. Regeur L. Increasing loss of brain tissue with increasing dementia: a stereological study of post-mortem brains from elderly females. Eur J Neurol. 2000;7:47-54.
4. Braak H, Braak E. Neuropathological stageing of Alzheimerrelated changes. Acta Neuropathol. 1991;82:239-259.
5. Jack CR, Petersen RC, Xu YC, et al. Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment. Neurology. 1999;52:1397-1403.
6. Ridha BH, Barnes J, Bartlett JW, et al. Tracking atrophy progression in familial Alzheimer's disease: a serial MRI study. Lancet Neurol. 2006;5:828-834.
7. Giesel FL, Thomann PA, Hahn HK, et al. Comparison of manual direct and automated indirect measurement of hippocampus using magnetic resonance imaging. Eur J Radiol. 2008;66:268-273.
8. Jack CR, Petersen RC, Xu Y, et al. Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease. Neurology. 1998;51:993-999.
9. Scahill RI, Schott JM, Stevens JM, et al. Mapping the evolution of regional atrophy in Alzheimer's disease: unbiased analysis of fluid-registered serial MRI. Proc Natl Acad Sci USA. 2002;99:4703-4707.
10. Whitwell JL, Przybelski SA, Weigand SD, et al. 3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease. Brain. 2007;130:1777-1786.
11. Petersen RC, Smith GE, Waring SC, et al. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999;56:303-308.
12. Apostolova LG, Dutton RA, Dinov ID, et al. Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps. Arch Neurol. 2006;63:693-699.
13. Erten-Lyons D, Howieson D, Moore MM, et al. Brain volume loss in MCI predicts dementia. Neurology. 2006;66:233-235.
14. Fleisher AS, Sun S, Taylor C, et al. Volumetric MRI vs clinical predictors of Alzheimer disease in mild cognitive impairment. Neurology. 2008;70:191-199.
15. Henneman WJ, Sluimer JD, Barnes J, et al. Hippocampal atrophy rates in Alzheimer disease: added value over whole brain volume measures. Neurology. 2009;72:999-1007.
16. Jack CR, Shiung MM, Weigand SD, et al. Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI. Neurology. 2005;65:1227-1231.
17. Killiany RJ, Hyman BT, Gomez-Isla T, et al. MRI measures of entorhinal cortex vs hippocampus in preclinical AD. Neurology. 2002;58:1188-1196.
18. Wang PN, Liu HC, Lirng JF, et al. Accelerated hippocampal atrophy rates in stable and progressive amnestic mild cognitive impairment. Psychiatry Res. 2009;171:221-231.
19. Leung KK, Shen KK, Barnes J, et al. Increasing power to predict mild cognitive impairment conversion to Alzheimer's disease using hippocampal atrophy rate and statistical shape models. Med Image Comput Comput Assist Interv. 2010;13:125-132.
20. Jack CR, Shiung MM, Gunter JL, et al. Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD. Neurology. 2004;62:591-600.
21. Jack CR, Petersen RC, Grundman M, et al. Longitudinal MRI findings from the vitamin E and donepezil treatment study for MCI. Neurobiol Aging. 2008;29:1285-1295.
22. Smith EE, Egorova S, Blacker D, et al. Magnetic resonance imaging white matter hyperintensities and brain volume in the prediction of mild cognitive impairment and dementia. Arch Neurol. 2008;65:94-100.
23. Spulber G, Niskanen E, Macdonald S, et al. Whole brain atrophy rate predicts progression from MCI to Alzheimer's disease. Neurobiol Aging. 2010;31:1601-1605.
24. Jack CR, Bernstein MA, Fox NC, et al. The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. J Magn Reson Imaging. 2008;27:685-691.
25. Jovicich J, Czanner S, Greve D, et al. Reliability in multisite structural MRI studies: effects of gradient non-linearity correction on phantom and human data. Neuroimage. 2006;30: 436-443.
26. Sled JG, Zijdenbos AP, Evans AC. A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging. 1998;17:87-97.
27. Narayana PA, Brey WW, Kulkarni MV, et al. Compensation for surface coil sensitivity variation in magnetic resonance imaging. Magn Reson Imaging. 1988;6:271-274.
28. Woods RP, Grafton ST, Holmes CJ, et al. Automated image registration: I. General methods and intrasubject, intramodality validation. J Comput Assist Tomogr. 1998;22: 139-152.
29. Leung KK, Barnes J, Ridgway GR, et al. Automated crosssectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease. Neuroimage. 2010;51:1345-1359.
30. Warfield SK, Zou KH, Wells WM. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans Med Imaging. 2004;23:903-921.
31. Freeborough PA, Fox NC, Kitney RI. Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans. Comput Methods Programs Biomed. 1997;53:15-25.
32. Schott JM, Price SL, Frost C, et al. Measuring atrophy in Alzheimer disease: a serial MRI study over 6 and 12 months. Neurology. 2005;65:119-124.
33. Evans MC, Barnes J, Nielsen C, et al. Volume changes in Alzheimer's disease and mild cognitive impairment: cognitive associations. Eur Radiol. 2010;20:674-682.
34. xFreeborough PA, Fox NC. The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI. IEEE Trans Med Imaging. 1997;16: 623-629.
35. Leung KK, Clarkson MJ, Bartlett JW, et al. Robust atrophy rate measurement in Alzheimer's disease using multi-site serial MRI: tissue-specific intensity normalization and parameter selection. Neuroimage. 2010;50:516-523.
36. Altman DG, Bland JM. Diagnostic tests 3: receiver operating characteristic plots. BMJ. 1994;309:188.
37. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837-845.
38. Petersen RC, Aisen PS, Beckett LA, et al. Alzheimer's Disease Neuroimaging Initiative (ADNI): clinical characterization. Neurology. 2010;74:201-209.
39. Jack CR, Petersen RC, Xu Y, et al. Rates of hippocampal atrophy correlate with change in clinical status in aging and AD. Neurology. 2000;55:484-489.
40. Archer HA, Kennedy J, Barnes J, et al. Memory complaints and increased rates of brain atrophy: risk factors for mild cognitive impairment and Alzheimer's disease. Int J Geriatr Psychiatry. 2010;25:1119-1126.
41. Mitchell J, Arnold R, Dawson K, et al. Outcome in subgroups of mild cognitive impairment (MCI) is highly predictable using a simple algorithm. J Neurol. 2009;256:1500-1509.
42. Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256:183-194.