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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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Modified Visual Magnetic Resonance Rating Scale for Evaluation of Patients with Forgetfulness
Yalçiner, B., Kandemir, M., Taskale, S., Tepe, S. M., & Ünay, D. (2018) · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · doi:10.1017/cjn.2018.333 · Cited by 8
“It has been shown that MTA, VA, and SA increase over time in AD patients,(3,28) whereas SA and VA better correlate with changes in neuropsychometric tests than MTA.(3) In our study, especially high VAs, MTAs, and Ts are also found to be significant in terms of degenerative process.”
BackgroundCase Study: A Precision Medicine Approach to Multifactorial Dementia and Alzheimer's Disease.
Ross, M. K., Raji, C. A., Lokken, K., Bredesen, D. E., Roach, J. C., Funk, C. C., Price, N. D., Rappaport, N., Hood, L., & Heath, J. R. (2021) · PubMed · Cited by 12
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“Structural MRI has been shown to be one of the best and most readily available measures to assess the biological heterogeneity and rate of progression of AD [3].”
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“31,32”
Sakurai, K., Kaneda, D., Inui, S., Uchida, Y., Morimoto, S., Nihashi, T., Kato, T., Ito, K., & Hashizume, Y. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210043 · Cited by 7
“Somestudies havesuggestedtheutilityofventricularenlargement asameasureofADprogression[35,36].”
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Landmark-Based Alzheimer’s Disease Diagnosis Using Longitudinal Structural MR Images
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“, hippocampus, entorhinal cortex, whole brain and ventricle), and supported the idea of using changing rates as biomarkers for AD diagnosis [16].”
BackgroundClassification of MRI and psychological testing data based on support vector machine.
Yang, W., Chen, X., Cohen, D. S., Rosin, E. R., Toga, A. W., Thompson, P. M., & Huang, X. (2017) · PubMed · Cited by 7
Progression of Atrophy in Alzheimer’s Disease and Related Disorders
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Focus on Alzheimer's Disease and Related Disorders
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Virtual reality navigation for the early detection of Alzheimer’s disease
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“Such analysis is important, since there is some evidence that change in MRI-atrophy rates may correlate better with disease progression than change on cognitive tests or clinical rating scales [48].”
BackgroundResultInfluentialClinical predictors of Alzheimer's disease progression
Hishikawa, N., Fukui, Y., Takemoto, M., Sato, K., Shang, J., Yamashita, T., Ohta, Y., & Abe, K. (2018) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.13286 · Cited by 6
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A linear primal–dual multi-instance SVM for big data classifications
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“The change in venticular volume is also associated with the cognitive decline and dementia [55, 56].”
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Alzheimer’s Amyloidopathy: An Alternative Aspect
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“Among the various brain regions, hippocampus volume reduction was found to be a sensitive and reliable imaging biomarker to monitor clinical AD progression (Jack et al., 1999, 2004, 2005).”
BackgroundFDG PET in the Evaluation of Mild Cognitive Impairment and Early Dementia
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Simulation of Local and Global Atrophy in Alzheimer’s Disease Studies
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“for hippocampus and brain) and study durations [11,12] of 6-24 months Figure 3 shows the difference images between the normal aging and the AD simulated images at each timepoint.”
Background
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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