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PMID: 16998650 Published · ppublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Combining short interval MRI in Alzheimer's disease: Implications for therapeutic trials.

Journal of neurology ·Vol. 253 ·No. 9 ·2006-09-00 ·Pages 1147-53

Schott JM, Frost C, Whitwell JL, Macmanus DG, Boyes RG, Rossor MN, Fox NC

Abstract

Cerebral atrophy calculated from serial MRI is a marker of Alzheimer's disease (AD) progression, and a potential outcome measure for therapeutic trials. Reducing within-subject variability in cerebral atrophy rates by acquiring more than two serial scans could allow for shorter clinical trials requiring smaller patient numbers. Forty-six patients with AD and 23 controls each had up to 10 serial MR brain scans over two years. Whole brain atrophy was calculated for each subject from every scan-pair. 708 volumetric MRI scans were acquired: 2199 measures of atrophy were made for patients, and 1182 for controls. A linear mixed model was used to characterise between and within-individual variability. These results were used to investigate the power of combining multiple serial scans in treatment trials of varying lengths. In AD, the mean whole brain atrophy rate was 2.23%/year (95% CI: 1.90-2.56%/year). The linear mixed model was shown to fit the data well and led to a formula (0.99(2) + (0.82/t)2) for the variance of atrophy rates calculated from two scans "t" years apart. Utilising five optimally timed scans with repeat scans at each visit reduced the component of atrophy rate variance attributable to within-subject variability by approximately 56%, equating to a approximately 40% sample size reduction (228 vs 387 patients per arm to detect 20% reduction in atrophy rate) in a six-month placebo-controlled trial. This benefit in terms of sample size is relatively reduced in longer trials, although adding extra scanning visits may have benefits when patient drop-outs are accounted for. We conclude that sample sizes required in short interval therapeutic trials using cerebral atrophy as an outcome measure may be reduced if multiple serial MRI is performed.

MeSH Terms
Aged Alzheimer Disease/pathology Atrophy/pathology Brain/pathology Confidence Intervals Female Humans Magnetic Resonance Imaging Male Middle Aged Odds Ratio Time Factors
Authors & Affiliations
7 authors, click to expand affiliations / ORCID
Schott J M
Dementia Research Centre, Institute of Neurology, University College London, Queen Square, Box 16, WC1N 3BG, London, UK.
Frost C
Whitwell J L
Macmanus D G
Boyes R G
Rossor M N
Fox N C
References (31)
31 references, click to expand
  1. Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain.
    J Neurosci. 2003 Apr 15;23(8):3295-301 PMID: 12716936
  2. A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging.
    Arch Neurol. 2003 Jul;60(7):989-94 PMID: 12873856
  3. Automated hippocampal segmentation by regional fluid registration of serial MRI: validation and application in Alzheimer's disease.
    Neuroimage. 2001 May;13(5):847-55 PMID: 11304081
  4. Use of structural imaging to study the progression of Alzheimer's disease.
    Br Med Bull. 1996 Jul;52(3):575-86 PMID: 8949258
  5. The magnitude of dementia occurrence in the world.
    Alzheimer Dis Assoc Disord. 2003 Apr-Jun;17(2):63-7 PMID: 12794381
  6. MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD.
    Neurology. 2003 Jan 28;60(2):253-60 PMID: 12552040
  7. Imaging-based measures of disease progression in clinical trials of disease-modifying drugs for Alzheimer disease.
    Am J Geriatr Psychiatry. 2003 Mar-Apr;11(2):146-59 PMID: 12611744
  8. Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans.
    Comput Methods Programs Biomed. 1997 May;53(1):15-25 PMID: 9113464
  9. Imaging cerebral atrophy: normal ageing to Alzheimer's disease.
    Lancet. 2004 Jan 31;363(9406):392-4 PMID: 15074306
  10. A nonparametric method for automatic correction of intensity nonuniformity in MRI data.
    IEEE Trans Med Imaging. 1998 Feb;17(1):87-97 PMID: 9617910
  11. The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI.
    IEEE Trans Med Imaging. 1997 Oct;16(5):623-9 PMID: 9368118
  12. Alzheimer's disease.
    N Engl J Med. 2004 Jul 1;351(1):56-67 PMID: 15229308
  13. Atrophy of the hippocampal formation in early familial Alzheimer's disease. A longitudinal MRI study of at-risk members of a family with an amyloid precursor protein 717Val-Gly mutation.
    Ann N Y Acad Sci. 1996 Jan 17;777:226-32 PMID: 8624089
  14. Effects of Abeta immunization (AN1792) on MRI measures of cerebral volume in Alzheimer disease.
    Neurology. 2005 May 10;64(9):1563-72 PMID: 15883317
  15. Measuring atrophy in Alzheimer disease: a serial MRI study over 6 and 12 months.
    Neurology. 2005 Jul 12;65(1):119-24 PMID: 16009896
  16. Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease.
    Neurology. 1998 Oct;51(4):993-9 PMID: 9781519
  17. Correlation between rates of brain atrophy and cognitive decline in AD.
    Neurology. 1999 May 12;52(8):1687-9 PMID: 10331700
  18. Change in rates of cerebral atrophy over time in early-onset Alzheimer's disease: longitudinal MRI study.
    Lancet. 2003 Oct 4;362(9390):1121-2 PMID: 14550701
  19. Progressive brain atrophy on serial MRI in dementia with Lewy bodies, AD, and vascular dementia.
    Neurology. 2001 May 22;56(10):1386-8 PMID: 11376193
  20. Neuropathological stageing of Alzheimer-related changes.
    Acta Neuropathol. 1991;82(4):239-59 PMID: 1759558
  21. Using serial registered brain magnetic resonance imaging to measure disease progression in Alzheimer disease: power calculations and estimates of sample size to detect treatment effects.
    Arch Neurol. 2000 Mar;57(3):339-44 PMID: 10714659
  22. The analysis of repeated 'direct' measures of change illustrated with an application in longitudinal imaging.
    Stat Med. 2004 Nov 15;23(21):3275-86 PMID: 15490432
  23. "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.
    J Psychiatr Res. 1975 Nov;12(3):189-98 PMID: 1202204
  24. Differentiating AD from aging using semiautomated measurement of hippocampal atrophy rates.
    Neuroimage. 2004 Oct;23(2):574-81 PMID: 15488407
  25. Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD.
    Neurology. 2004 Feb 24;62(4):591-600 PMID: 14981176
  26. Alzheimer's disease: longitudinal CT studies of ventricular change.
    AJR Am J Roentgenol. 1989 Jun;152(6):1257-62 PMID: 2785749
  27. The application of serial MRI analysis techniques to the study of cerebral atrophy in late-onset dementia.
    Med Image Anal. 2004 Mar;8(1):69-79 PMID: 14644147
  28. MR image-based measurement of rates of change in volumes of brain structures. Part II: application to a study of Alzheimer's disease and normal aging.
    Magn Reson Imaging. 2002 Jan;20(1):41-8 PMID: 11973028
  29. Accurate registration of serial 3D MR brain images and its application to visualizing change in neurodegenerative disorders.
    J Comput Assist Tomogr. 1996 Nov-Dec;20(6):1012-22 PMID: 8933812
  30. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.
    Neurology. 1984 Jul;34(7):939-44 PMID: 6610841
  31. Serial brain MRI at 3-6 month intervals as a surrogate marker for Alzheimer's disease.
    Br J Radiol. 2002 Jun;75(894):506-13 PMID: 12124237
Article Info
Journal
Journal of neurology
Abbr.
J Neurol
ISSN
0340-5354
Published
2006-09-00
Epub
2006-00-22
Pages
1147-53
Language
English
Region
Germany
NLM ID
0423161
Subset
IM
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