Predicting MCI outcome with clinically available MRI and CSF biomarkers
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41 citations
Cites background from "Predicting MCI outcome with clinica..."
...Thus, unlike several other biological measures that have been found to significantly predict dementia in this cohort, such as structural brain atrophy, regional cerebral hypometabolism, amyloid and tau levels in cerebrospinal fluid [19, 20, 22, 23], serum leptin levels do not appear to be a robust measure, on their own, for identifying those individuals with MCI who are at a highest risk of developing dementia....
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39 citations
39 citations
Cites background from "Predicting MCI outcome with clinica..."
...Recently, several studies appeared that address the problem of predicting conversion from MCI to AD using markers such as neuropsychological tests, MRI, or cerebrospinal fluid (CSF) biomarkers (Buerger et al., 2011; Heister et al., 2011; McEvoy et al., 2011; Modrego et al., 2011)....
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38 citations
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..., 2014) and Alzheimer’s disease dementia (Heister et al., 2011)....
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...…volume/hippocampal volume + inferior lateral ventricle volume) as an index of medial temporal lobe atrophy, which has been shown to be superior to standard hippocampal volume estimates in predicting conversion from mild cognitive impairment to Alzheimer’s disease dementia (Heister et al., 2011)....
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...Our data suggest that the NIHTB-CB fluid cognition composite tests are at least as sensitive as GS tests in detecting cerebral volume loss that occurs in healthy aging (Dodge et al., 2014) and Alzheimer’s disease dementia (Heister et al., 2011)....
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...We then computed the hippocampal occupancy score (HOC; hippocampal volume/hippocampal volume + inferior lateral ventricle volume) as an index of medial temporal lobe atrophy, which has been shown to be superior to standard hippocampal volume estimates in predicting conversion from mild cognitive impairment to Alzheimer’s disease dementia (Heister et al., 2011)....
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38 citations
Cites background from "Predicting MCI outcome with clinica..."
...Other authors have also reported that the use of a single memory test is not optimal in predicting AD, and that adding information on brain atrophy and/or cerebrospinal fluid biomarkers is necessary to improve predictive accuracy in regression models [35, 37, 38]....
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