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Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD
Open accessAbstract
OBJECTIVE: To correlate different methods of measuring rates of brain atrophy from serial MRI with corresponding clinical change in normal elderly subjects, patients with mild cognitive impairment (MCI), and patients with probable Alzheimer disease (AD). METHODS: One hundred sixty subjects were recruited from the Mayo Clinic Alzheimer's Disease Research Center and Alzheimer's Disease Patient Registry Studies. At baseline, 55 subjects were cognitively normal, 41 met criteria for MCI, and 64 met criteria for AD. Each subject underwent an MRI examination of the brain at the time of the baseline clinical assessment and then again at the time of a follow-up clinical assessment, 1 to 5 years later. The annualized changes in volume of four structures were measured from the serial MRI studies: hippocampus, entorhinal cortex, whole brain, and ventricle. Rates of change on several cognitive tests/rating scales were also assessed. Subjects who were classified as normal or MCI at baseline could either remain stable or convert to a lower-functioning group. AD subjects were dichotomized into slow vs fast progressors. RESULTS: All four atrophy rates were greater among normal subjects who converted to MCI or AD than among those who remained stable, greater among MCI subjects who converted to AD than among those who remained stable, and greater among fast than slow AD progressors. In general, atrophy on MRI was detected more consistently than decline on specific cognitive tests/rating scales. With one exception, no differences were found among the four MRI rate measures in the strength of the correlation with clinical deterioration at different stages of the disease. CONCLUSIONS: These data support the use of rates of change from serial MRI studies in addition to standard clinical/psychometric measures as surrogate markers of disease progression in AD. Estimated sample sizes required to power a therapeutic trial in MCI were an order of magnitude less for MRI than for change measures based on cognitive tests/rating scales.
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Self-citationAccurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J. M., Matthews, P. M., Federico, A., & Stefano, N. D. (2002) · NeuroImage · doi:10.1006/nimg.2002.1040 · Cited by 2,013
Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Waring, S. C., Tangalos, E. G., & Kokmen, E. (1999) · Neurology · doi:10.1212/wnl.52.7.1397 · Cited by 1,404
Self-citationMedial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease
Jack, C. R., Petersen, R. C., Xu, Y. C., Waring, S. C., O'Brien, P. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., & Kokmen, E. (1997) · Neurology · doi:10.1212/wnl.49.3.786 · Cited by 1,128
Self-citationRates of hippocampal atrophy correlate with change in clinical status in aging and AD
Jack, C. R., Petersen, R. C., Xu, Y., O’Brien, P. C., Smith, G. E., Ivnik, R. J., Boeve, B. F., Tangalos, E. G., & Kokmen, E. (2000) · Neurology · doi:10.1212/wnl.55.4.484 · Cited by 937
Self-citationAging, Memory, and Mild Cognitive Impairment
Petersen, R. C., Kokmen, E., Waring, S. C., Smith, G. E., Ivnik, R. J., & Tangelos, E. G. (1997) · International Psychogeriatrics · doi:10.1017/s1041610297004717 · Cited by 895
Self-citationCerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer’s disease
Small, G. W., Ercoli, L. M., Silverman, D. H. S., Huang, S.-C., Komo, S., Bookheimer, S. Y., Lavretsky, H., Miller, K., Siddarth, P., Rasgon, N. L., et al. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.090106797 · Cited by 790
MR volumetric analysis of the human entorhinal, perirhinal, and temporopolar cortices.
Insausti, R., Juottonen, K., Soininen, H. S., Insausti, A. M., Partanen, K. P. L., Vainio, P. A., Laakso, M. P., & Pitkänen, A. (1998) · PubMed Central · Cited by 774
de Leon, M. J., Convit, A., Wolf, O. T., Tarshish, C. Y., DeSanti, S., Rusinek, H., Tsui, W., Kandil, E., Scherer, A. J., Roche, A., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191044198 · Cited by 629
MRI measures of entorhinal cortex vs hippocampus in preclinical AD
Killiany, R., Hyman, B. T., Gómez‐Isla, T., Moss, M. B., Kikinis, R., Jolesz, F. A., Tanzi, R. E., Jones, K., & Albert, M. (2002) · Neurology · doi:10.1212/wnl.58.8.1188 · Cited by 571
Dickerson, B. C., Goncharova, I. I., Sullivan, M., Forchetti, C., Wilson, R. S., Bennett, D. A., Beckett, L. A., & deToledo‐Morrell, L. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00271-8 · Cited by 495
Reiman, E. M., Caselli, R. J., Chen, K., Alexander, G. E., Bandy, D., & Frost, J. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.061509598 · Cited by 467
Karas, G. B., Burton, E. J., Rombouts, S. A. R. B., van Schijndel, R. A., O'Brien, J. T., Scheltens, P., McKeith, I. G., Williams, D. M., Ballard, C. G., & Barkhof, F. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00041-7 · Cited by 418
Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment
Chételat, G., Desgranges, B., de la Sayette, V., Viader, F., Eustache, F., & Baron, J. (2002) · NeuroReport · doi:10.1097/00001756-200210280-00022 · Cited by 405
Freeborough, P. A., & Fox, N. C. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.640753 · Cited by 384
Temporal Lobe Regions on Magnetic Resonance Imaging Identify Patients With Early Alzheimer's Disease
Killiany, R., Moss, M. B., Albert, M., Sándor, T., Tieman, J., & Jolesz, F. A. (1993) · Archives of Neurology · doi:10.1001/archneur.1993.00540090052010 · Cited by 371
Fox, N. C., & Freeborough, P. A. (1997) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880070620 · Cited by 365
Fox, N. C., Cousens, S., Scahill, R. I., Harvey, R. J., & Rossor, M. N. (2000) · Archives of Neurology · doi:10.1001/archneur.57.3.339 · Cited by 356
Usefulness of MRI measures of entorhinal cortex versus hippocampus in AD
de Leon, M. J., Bobinski, M., Convit, A. J., Wolf, O. T., & Insausti, R. (2001) · Neurology · doi:10.1212/wnl.56.6.820 · Cited by 351
Correlation between rates of brain atrophy and cognitive decline in AD
Fox, N. C., Scahill, R. I., Crum, W. R., & Rossor, M. N. (1999) · Neurology · doi:10.1212/wnl.52.8.1687 · Cited by 342
Usefulness of MRI measures of entorhinal cortex versus hippocampus in AD
Xu, Y., Jack, C. R., O’Brien, P. C., Kokmen, E., Smith, G. E., Ivnik, R. J., Boeve, B. F., Tangalos, R. G., & Petersen, R. C. (2000) · Neurology · doi:10.1212/wnl.54.9.1760 · Cited by 337
Self-citationVisser, P. J., Scheltens, P., Verhey, F. R. J., Schmand, B., Launer, L. J., Jolles, J., & Jonker, C. (1999) · Journal of Neurology · doi:10.1007/s004150050387 · Cited by 319
MRI as a biomarker of disease progression in a therapeutic trial of milameline for AD
Jack, C. R., Slomkowski, M., Gracon, S. I., Hoover, T. M., Felmlee, J. P., Stewart, K., Xu, Y., Shiung, M. S., O’Brien, P. C., Cha, R., et al. (2003) · Neurology · doi:10.1212/01.wnl.0000042480.86872.03 · Cited by 297
Self-citationSynphilin-1 is present in Lewy bodies in Parkinson's disease
Wakabayashi, K., Engelender, S., Yoshimoto, M., Tsuji, S., Ross, C. A., & Takahashi, H. (2000) · Annals of Neurology · doi:10.1002/1531-8249(200004)47:4 · Cited by 269
MRI‐Based Hippocampal Volume Measurements in Epilepsy
Jack, C. R. (1994) · Epilepsia · doi:10.1111/j.1528-1157.1994.tb05986.x · Cited by 224
Self-citationAtrophy rates of entorhinal cortex in AD and normal aging
Du, A., Schuff, N. W., Zhu, X., Jagust, W. J., Miller, B. L., Reed, B., Kramer, J. H., Mungas, D., Yaffe, K. S., Chui, H. C., et al. (2003) · Neurology · doi:10.1212/01.wnl.0000044400.11317.ec · Cited by 190
Jack, C. R., Petersen, R. C., Xu, Y. C., O’Brien, P. C., Waring, S. C., Tangalos, E. G., Smith, G. E., Ivnik, R. J., Thibodeau, S. N., & Kokmen, E. (1998) · Annals of Neurology · doi:10.1002/ana.410430307 · Cited by 187
Self-citationDefinition, course, and outcome of mild cognitive impairment
Smith, G. E., Petersen, R. C., Parisi, J. E., Ivnik, R. J., Kokmen, E., Tangalos, E. G., & Waring, S. (1996) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825589608256619 · Cited by 186
Self-citationBraak, H., & Braak, E. (1994) · Neurobiology of Aging · doi:10.1016/0197-4580(94)90032-9 · Cited by 181
Unbiased whole-brain analysis of gray matter loss in Alzheimer's disease
Rombouts, S. A. R. B., Barkhof, F., Witter, M. P., & Scheltens, P. (2000) · Neuroscience Letters · doi:10.1016/s0304-3940(00)01067-3 · Cited by 168
Assessing the onset of structural change in familial Alzheimer's disease
Schott, J. M., Fox, N. C., Frost, C. D., Scahill, R. I., Janssen, J. C., Chan, D., Jenkins, R., & Rossor, M. N. (2002) · Annals of Neurology · doi:10.1002/ana.10424 · Cited by 163
Methodological considerations for measuring rates of brain atrophy
Gunter, J. L., Shiung, M. M., Manduca, A., & Jack, C. R. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10325 · Cited by 88
Self-citationMayo Clinic Alzheimer’s Disease Patient Registry
Petersen, R. C., Kokmen, E., Tangalos, E. G., Ivnik, R. J., & Kurland, L. T. (1990) · Aging Clinical and Experimental Research · doi:10.1007/bf03323961 · Cited by 79
Self-citationTests of equality of dependent correlation coefficients
Choi, S. C. (1977) · Biometrika · doi:10.1093/biomet/64.3.645 · Cited by 70
Predictive Value of APOE Genotyping in Incipient Alzheimer's Diseasesa
Petersen, R. C., Waring, S. C., Smith, G. E., Tangalos, E. G., & Thibodeau, S. N. (1996) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1996.tb32599.x · Cited by 58
Self-citationStudholme, C., Cardenas, V. A., Schuff, N. W., Rosen, H. J., Miller, B. L., & Weiner, M. W. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45468-3_6 · Cited by 58
Petersen, R. C., & Morris, J. C. (2003) · doi:10.1093/oso/9780195123425.003.0002 · Cited by 35
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Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Self-citationBuckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140
“Structural atrophy predicts conversion from early to late stages of AD (Fox et al., 1999; Killiany et al., 2002; Jack et al., 2004).”
BackgroundThe clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113
Self-citationMild cognitive impairment: a concept in evolution
Petersen, R. C., Caracciolo, B., Brayne, C., Gauthier, S., Jelic, V., & Fratiglioni, L. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12190 · Cited by 1,694
Self-citationMitchell, A. J., & Shiri‐Feshki, M. (2009) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2008.01326.x · Cited by 1,659
“Eight studies (three using Mayo definition and five not using Mayo definition) examined the risk of dementia or AD in healthy age comparable controls head-to-head with the risk in individuals with MCI, a total pooled sample of 6713 individuals (39, 44, 56, 65, 67, 71, 73).”
BackgroundMethod
Metadata
- Authors
- Jack, C. R., Shiung, M. M., Gunter, J. L., O’Brien, P. C., Weigand, S. D., Knopman, D. S., Boeve, B. F., Ivnik, R. J., Smith, G. E., Cha, R. H., Tangalos, E. G., & Petersen, R. C.
- Affiliations
- Mayo Clinic (US)
- ORCID
- Venue
- Neurology
- Published
- 2004-02-24
- Volume
- 62
- Issue
- 4
- Pages
- 591-600
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC2730165
- OpenAlex
- W2005133023
- Cited by
- 827
- References
- 41
- Citations by year
- 2026: 17 · 2025: 19 · 2024: 21 · 2023: 25 · 2022: 20 · 2021: 36 · 2020: 27 · 2019: 38 · 2018: 36 · 2017: 37 · 2016: 33 · 2015: 39 · 2014: 41 · 2013: 48 · 2012: 38
- FWCI
- 28.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (AG-06786, AG 16574, U01AG006786, R01AG011378, AG-11378, U19AG010483, R37AG011378, P50AG016574)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- Alzheimer's disease, brain atrophy rate, serial MRI, hippocampal atrophy, entorhinal cortex atrophy, whole brain atrophy, ventriculomegaly, mild cognitive impairment, disease progression, surrogate markers, cognitive decline, trial size, MCI conversion
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Apolipoproteins E, Atrophy, Brain, Cognition Disorders, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Cohort Studies, Disease Progression, Entorhinal Cortex, Apolipoprotein E4
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