Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease
Open accessAbstract
Background: Despite convenience, accessibility, and strong correlation to severity of Alzheimer disease (AD) pathology, medial temporal lobe atrophy (MTA) has not been used as a criterion in the diagnosis of prodromal and probable AD. Methods: Using a newly validated visual rating system, mean MTA scores of three bilateral medial temporal lobe structures were compared for subjects with no cognitive impairment (NCI) (n = 117), nonamnestic mild cognitive impairment (MCI) (n = 46), amnestic MCI (n = 45), and probable AD (n = 53). Correlations between MTA scores and neuropsychological test scores at baseline, and predictors of change in diagnosis at 1-year follow-up were evaluated. Results: With NCI as the reference group, a mean MTA cut score of 1.33 yielded an optimal sensitivity/specificity of 85%/82% for probable AD subjects and 80%/82% for amnestic MCI subjects. MTA and Clinical Dementia Rating Sum of Boxes scores at baseline were independent and additive predictors of diagnosis at baseline, and of transition from NCI to MCI or from MCI to dementia at 1-year follow-up. Conclusion: Medial temporal lobe atrophy (MTA) scores 1) distinguish probable Alzheimer disease (AD) and amnestic mild cognitive impairment (MCI) subjects from nonamnestic MCI and no cognitive impairment (NCI) subjects, 2) help predict diagnosis at baseline, and 3) predict transition from NCI to MCI and from MCI to probable AD. MTA scores should be used as a criterion in the clinical diagnosis of AD. AD = Alzheimer disease; ADRDA = Alzheimer9s Disease and Related Disorders Association; aMCI = amnestic mild cognitive impairment; ANOVA = analysis of variance; CDRSB = Clinical Dementia Rating Sum of Boxes; ERC = entorhinal cortex; FADRC-CC = Florida Alzheimer9s Disease Research Center–Clinical Core; HPC = hippocampus; HR = hazard ratio; MCI = mild cognitive impairment; MMSE = Mini-Mental State Examination; MTA = medial temporal lobe atrophy; MTL = medial temporal lobe; NACC = National Alzheimer9s Coordinating Center; naMCI = nonamnestic mild cognitive impairment; NCI = no cognitive impairment; NINCDS = National Institute of Neurological and Communicative Disorders and Stroke; NS = not significant; PRC = perirhinal cortex; VRS = visual rating system.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Medial temporal lobe atrophy on MRI is considered an early and sensitive marker for AD, and is assumed to reflect underlying neuronal loss in hippocampus and temporal lobe.
“Medial temporal lobe (MTA) atrophy as observed on MRI is considered to be an early and sensitive marker for AD, and is assumed that it reflects underlying neuronal loss in hippocampus and temporal lobe (Clerx et al., 2013; Jack et al., 1997; Duara et al., 2008).”
From T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease (2015) · cites this paper as Duara et al., 2008
The Abstract reports that MRI-based MTA scores distinguish probable AD and amnestic MCI from comparison groups, with 85% sensitivity for probable AD at the reported cut score. The GLOSSARY discussion says MTA may serve as an early marker and correlates with medial temporal degenerative pathology at autopsy. It does not specifically identify neuronal loss in the hippocampus and temporal lobe as what the MRI finding reflects. Page numbers are not available for these passages. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
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 · see citing works
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 · see citing works
Rates 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 · see citing works
Cognitive Reserve and Alzheimer Disease
Stern, Y. (2006) · Alzheimer Disease & Associated Disorders · doi:10.1097/01.wad.0000213815.20177.19 · Cited by 838 · see citing works
Flagged first, then by citations
Research works printed but not linked: 31
- [1]1. Du AT, Schuff N, Amend D, et al. Magnetic resonance imaging of the entorhinal cortex and hippocampus in mild cognitive impairment and Alzheimer's disease. J Neuro Neurosurg Psychiatry 2001;71:441-447.
- [2]2. Killiany RJ, Hyman BT, Gomez-Isla T, et al. MRI measures of entorhinal cortex versus hippocampus in preclinical AD. Neurology 2002;58:1188-1196.
- [5]5. Rusinek H, Endo Y, De Santi S, et al. Atrophy rate in medial temporal lobe during progression of Alzheimer disease. Neurology 2004;63:2354-2359.
- [6]6. Bobinski M, de Leon MJ, Wegiel J, et al. The histological validation of post mortem magnetic resonance imagingdetermined hippocampal volume in Alzheimer's disease. Neuroscience 2000;95:721-725.
- [7]7. Jack CR, Dickson DW, Parisi JE, et al. Antemortem MRI findings correlate with hippocampal neuropathology in typical aging and dementia. Neurology 2002;58:750-757.
- [8]8. Gosche KM, Mortimer JA, Smith CD, Markesbery WR, Snowdon DA. Hippocampal volume as an index of Alzheimer neuropathology: findings from the Nun Study. Neurology 2002;58:1476-1482.
- [9]9. Likeman M, Anderson VM, Stevens JM, et al. Visual assessment of atrophy on magnetic resonance imaging in the diagnosis of pathologically confirmed young-onset dementias. Arch Neurol 2005;62:1410-1415.
- [10]10. Barkhof F, Polvikoski TM, van Straaten EC, et al. The significance of medial temporal lobe atrophy: a postmortem MRI study in the very old. Neurology 2007;69:15211527.
- [11]11. Wahlund LO, Julin P, Johansson SE, Scheltens P. Visual rating and volumetry of the medial temporal lobe on magnetic resonance imaging in dementia: a comparative study. J Neurol Neurosurg Psychiatry 2000;69:630-635.
- [12]12. DeCarli C, Frisoni GB, Clark CM, et al. Qualitative estimates of medial temporal atrophy as a predictor of progression from mild cognitive impairment to dementia. Arch Neurol 2007;64:108-115.
- [13]13. Urs R, Potter E, Barker W, Appel J, Loewenstein DA, Zhao W, Duara D. Visual rating system (VRS) for assessing magnetic resonance images (MRIs): a tool in the diagnosis of MCI and Alzheimer's disease. J Comput Assist Tomogr (in press).
- [14]14. Folstein M, Folstein S, McHugh P. Mini-Mental State: a practical method for grading the cognitive state of patients for the physician. J Psychiatr Res 1975;12:189-198.
- [15]15. Loewenstein DA, Barker WW, Harwood DG, et al. Utility of a modified mini-mental state examination with extended delayed recall in screening for mild cognitive impairment and dementia among community dwelling elders. Int J Geriatr Psychiatry 2000;15:434-440.
- [17]17. Lacritz LH, Cullum CM, Weiner M, Rosenberg RN. Comparison of the Hopkins Verbal Learning Test Revised to the California Verbal Learning Test in Alzheimer's disease. Appl Neuropsychol 2001;8:180-184.
- [19]19. Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology 1993;43:2412-2414.
- [20]20. McKhann G, Drachman DA, Folstein MF, Katzman R, Price DL, Stadlan E. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of the Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology 1984; 34:939-944.
- [22]22. Sonnenberg FA, Beck JR. Markov models in medical decision making: a practical guide. Med Decis Making 1993; 13:322-338.
- [23]23. Scheltens P, Leys D, Barkhof F, et al. Atrophy of medial temporal lobes on MRI in 'probable' Alzheimer's disease and normal ageing: diagnostic value and neuropsychological correlates J Neurol Neurosurg Psychiatry 1992;55:967-72.
- [24]24. Crystal H, Dickson D, Fuld P, et al. Clinico-pathologic studies in dementia: nondemented subjects with pathologically confirmed Alzheimer's disease. Neurology 1988;38: 1682-1687.
- [25]25. Fleisher AS, Raman R, Siemers ER, et al. Phase 2 safety trial targeting amyloid beta production with a gammasecretase inhibitor in Alzheimer disease. Arch Neurol 2008;65:1031-1038.
- [26]26. Petersen RC, Doody R, Kurz A, et al. Current concepts in mild cognitive impairment. Arch Neurol 2001;58:1985-1992.
- [27]27. Ganguli M, Dodge HH, Shen C, DeKosky ST. Mild cognitive impairment, amnestic type: an epidemiologic study. Neurology 2004;63:115-121.
- [28]28. Ritchie K, Artero S, Touchon J. Classification criteria for mild cognitive impairment: a population-based validation study. Neurology 2001;56:37-42.
- [29]29. Pe ´re `s K, Chrysostome V, Fabrigoule C, Orgogozo JM, Dartigues JF, Barberger-Gateau P. Restriction in complex activities of daily living in MCI: impact on outcome. Neurology 2006;67:461-466.
- [30]30. Luis CA, Barker WW, Loewenstein DA, et al. Conversion to dementia among two groups with cognitive impairment. Dement Geriatr Cogn Disord 2004;18: 307-313.
- [31]31. de Leon MJ, DeSant S, Zinkowski R, et al. Key Symposium: MRI and CSF studies in the early diagnosis of Alzheimer's disease. J Intern Med 2004;256:205-223.
- [32]32. Lopez OL, Litvan I, Catt KE, et al. Accuracy of four clinical diagnostic criteria for the diagnosis of neurodegenerative dementias. Neurology 1999;53:1292-1299.
- [33]33. Lopez OL, Becker JT, Klunk W, et al. Research evaluation and diagnosis of probable Alzheimer's disease over the last two decades. Neurology 2000;55:1854-1862.
- [34]34. Nagy Z, Esiri MM, Hindley NJ, et al. Accuracy of clinical operational diagnostic criteria for Alzheimer's disease in relation to different pathological diagnostic protocols. Dement Geriatr Cogn Disord 1998;9:219-226.
- [36]36. Silverman W, Wisniewski HM, Bobinski M, Wegiel J. Frequency of stages of Alzheimer-related lesions in different age categories. Neurobiol Aging 1997;18:377379.
- [38]38. Mortimer JA, Borenstein AR, Gosche KM, Snowdon DA. Very early detection of Alzheimer neuropathology and the role of brain reserve in modifying its clinical expression. J Geriatr Psychiatry Neurol 2005;18:218-223.
Cited by
Sorted by citations
Dementia prevention, intervention, and care
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31363-6 · Cited by 6,072 · see citing works
The 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 · see citing works
Brain Imaging in Alzheimer Disease
Johnson, K. A., Fox, N. C., Sperling, R. A., & Klunk, W. E. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006213 · Cited by 875 · see citing works
Lombardi, G., Crescioli, G., Cavedo, E., Lucenteforte, E., Casazza, G., Bellatorre, A.-G., Lista, C., Costantino, G., Frisoni, G., Virgili, G., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009628.pub2 · Cited by 214 · see citing works
Using visual rating to diagnose dementia: a critical evaluation of MRI atrophy scales
Harper, L., Barkhof, F., Fox, N. C., & Schott, J. M. (2015) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2014-310090 · Cited by 187 · see citing works
Boosting power for clinical trials using classifiers based on multiple biomarkers
Kohannim, O., Hua, X., Hibar, D. P., Lee, S., Chou, Y.-Y., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.022 · Cited by 190 · see citing works
“Brain atrophy rates measured by MRI correlate with the progression of Alzheimer’s disease, and offer baseline and transitional predictive power for diagnosis, making them clinically relevant endpoints for power analysis (Duara et al., 2008, Fox et al., 2000, Jack et al., 2004).”
Lin, T.-W., Shih, Y.-H., Chen, S.-J., Lien, C.-H., Chang, C.-Y., Huang, T.-Y., Chen, S.-H., Jen, C. J., & Kuo, Y.-M. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.12.005 · Cited by 153 · see citing works
<scp>EFNS</scp> task force: the use of neuroimaging in the diagnosis of dementia
Filippi, M., Agosta, F., Barkhof, F., Dubois, B., Fox, N. C., Frisoni, G. B., Jack, C. R., Johannsen, P., Miller, B. L., Nestor, P. J., et al. (2012) · European Journal of Neurology · doi:10.1111/j.1468-1331.2012.03859.x · Cited by 141 · see citing works
Clerx, L., Visser, P. J., Verhey, F., & Aalten, P. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110797 · Cited by 132 · see citing works
Resilience and amygdala function in older healthy and depressed adults
Leaver, A. M., Yang, H., Siddarth, P., Vlasova, R. M., Krause, B., St. Cyr, N., Narr, K. L., & Lavretsky, H. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.04.109 · Cited by 44 · see citing works
T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease
Haris, M., Yadav, S. K., Rizwan, A., Singh, A., Cai, K., Kaura, D., Wang, E., Davatzikos, C., Trojanowski, J. Q., Melhem, E. R., et al. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.02.016 · Cited by 33 · see citing works
Soucy, J.-P., Bartha, R., Bocti, C., Borrie, M., Burhan, A. M., Laforce, R., & Rosa-Neto, P. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt199 · Cited by 25 · see citing works
- Authors
- Duara, R., Loewenstein, D. A., Potter, E., Appel, J., Greig, M. T., Urs, R., Shen, Q., Raj, A., Small, B., Barker, W., Schofield, E., Wu, Y., & Potter, H.
- Affiliations
- University of Miami (US)
- ORCID
- Venue
- Neurology
- Published
- 2008-12-09
- Volume
- 71
- Issue
- 24
- Pages
- 1986-1992
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC2676975
- OpenAlex
- W2004838625
- Cited by
- 256
- References
- 6
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 19 · 2023: 10 · 2022: 23 · 2021: 15 · 2020: 18 · 2019: 11 · 2018: 14 · 2017: 14 · 2016: 8 · 2015: 13 · 2014: 13 · 2013: 18 · 2012: 20
- FWCI
- 9.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P50AG025711)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- Alzheimer's disease diagnosis, amnestic mild cognitive impairment, non-amnestic mild cognitive impairment, hippocampus, entorhinal cortex, perirhinal cortex, Clinical Dementia Rating, diagnostic criteria, MRI biomarkers, prodromal Alzheimer's disease, sensitivity and specificity
- MeSH terms
- Aged, Alzheimer Disease, Atrophy, Brain Mapping, Cognition Disorders, Diagnosis, Differential, Disability Evaluation, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Predictive Value of Tests, Severity of Illness Index, Temporal Lobe, Disease Progression, Parahippocampal Gyrus
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review