{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T17:50:04Z","timestamp":1773683404970,"version":"3.50.1"},"reference-count":50,"publisher":"S. Karger AG","issue":"1-2","license":[{"start":{"date-parts":[[2015,12,2]],"date-time":"2015-12-02T00:00:00Z","timestamp":1449014400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"},{"start":{"date-parts":[[2015,12,2]],"date-time":"2015-12-02T00:00:00Z","timestamp":1449014400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Dement Geriatr Cogn Disord"],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>&lt;b&gt;&lt;i&gt;Aims:&lt;\/i&gt;&lt;\/b&gt; To assess how hippocampal volume (HV) from volumetric magnetic resonance imaging (vMRI) is related to the amyloid status at different stages of Alzheimer's disease (AD) and its relevance to patient care. &lt;b&gt;&lt;i&gt;Methods:&lt;\/i&gt;&lt;\/b&gt; We evaluated the ability of HV to predict the florbetapir positron emission tomography (PET) amyloid positive\/negative status by group in healthy controls (HC, n = 170) and early\/late mild cognitive impairment (EMCI, n = 252; LMCI, n = 136), and AD dementia (n = 75) subjects from the Alzheimer's Disease Neuroimaging Initiative Grand Opportunity (ADNI-GO) and ADNI2. Logistic regression analyses, including elastic net classification modeling with 10-fold cross-validation, were used with age and education as covariates. &lt;b&gt;&lt;i&gt;Results:&lt;\/i&gt;&lt;\/b&gt; HV predicted amyloid status only in LMCI using either logistic regression [area under the curve (AUC) = 0.71, p &lt; 0.001] or elastic net classification modeling [positive predictive value (PPV) = 72.7%]. In EMCI, age (AUC = 0.70, p &lt; 0.0001) and age and\/or education (PPV = 63.1%), but not HV, predicted amyloid status. &lt;b&gt;&lt;i&gt;Conclusion:&lt;\/i&gt;&lt;\/b&gt; Using clinical neuroimaging, HV predicted amyloid status only in LMCI, suggesting that HV is not a biomarker surrogate for amyloid PET in clinical applications across the full diagnostic spectrum.<\/jats:p>","DOI":"10.1159\/000441351","type":"journal-article","created":{"date-parts":[[2015,12,1]],"date-time":"2015-12-01T22:01:22Z","timestamp":1449007282000},"page":"68-79","source":"Crossref","is-referenced-by-count":14,"title":["Relationship of Hippocampal Volume to Amyloid Burden across Diagnostic Stages of Alzheimer's Disease"],"prefix":"10.1159","volume":"41","author":[{"given":"Paula 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