Background and PurposeDementia with Lewy bodies (DLB) needs to be distinguished from Alzheimer’s disease (AD) because of important differences in patient management and outcome. Severe cardiac sympathetic degeneration occurs in DLB, but not in AD, offering a potential system for a biological diagnostic marker. The primary aim of this study was to investigate the diagnostic accuracy, in the ante-mortem differentiation of probable DLB from probable AD, of cardiac imaging with the ligand 123I-meta-iodobenzylguanidine (MIBG) which binds to the noradrenaline reuptake site, in the first multicenter study.MethodsWe performed a multicenter study in which we used 123I-MIBG scans to assess 133 patients with clinical diagnoses of probable (n = 61) or possible (n = 26) DLB or probable AD (n = 46) established by a consensus panel. Three readers, unaware of the clinical diagnosis, classified the images as either normal or abnormal by visual inspection. The heart-to-mediastinum ratios of 123I-MIBG uptake were also calculated using an automated region-of-interest based system.ResultsUsing the heart-to-mediastinum ratio calculated with the automated system, the sensitivity was 68.9% and the specificity was 89.1% to differentiate probable DLB from probable AD in both early and delayed images. By visual assessment, the sensitivity and specificity were 68.9% and 87.0%, respectively. In a subpopulation of patients with mild dementia (MMSE ≥ 22, n = 47), the sensitivity and specificity were 77.4% and 93.8%, respectively, with the delayed heart-to-mediastinum ratio.ConclusionsOur first multicenter study confirmed the high correlation between abnormal cardiac sympathetic activity evaluated with 123I-MIBG myocardial scintigraphy and a clinical diagnosis of probable DLB. The diagnostic accuracy is sufficiently high for this technique to be clinically useful in distinguishing DLB from AD, especially in patients with mild dementia.

Our objective was to determine whether the consumption of green tea, coffee, or black tea influences the incidence of dementia and mild cognitive impairment (MCI) in older people. We conducted a population-based prospective study with Japanese residents aged >60 years from Nakajima, Japan (the Nakajima Project). Participants received an evaluation of cognitive function and blood tests. The consumption of green tea, coffee, and black tea was also evaluated at baseline. Of 723 participants with normal cognitive function at a baseline survey (2007–2008), 490 completed the follow up survey in 2011–2013. The incidence of dementia during the follow-up period (mean ± SD: 4.9±0.9 years) was 5.3%, and that of MCI was 13.1%. The multiple-adjusted odds ratio for the incidence of overall cognitive decline (dementia or MCI) was 0.32 (95% CI: 0.16–0.64) among individuals who consumed green tea every day and 0.47 (95% CI: 0.25–0.86) among those who consumed green tea 1–6 days per week compared with individuals who did not consume green tea at all. The multiple-adjusted odds ratio for the incidence of dementia was 0.26 (95% CI: 0.06–1.06) among individuals who consumed green tea every day compared with those who did not consume green tea at all. No association was found between coffee or black tea consumption and the incidence of dementia or MCI. Our results indicate that green tea consumption is significantly associated with reduced risk of cognitive decline, even after adjustment for possible confounding factors.

FDG uptake in PCG and PTL is reduced in AD regardless of whether or not PVE correction is applied, supporting the notion that the reduced FDG uptake in these areas is not the result of atrophy. Furthermore, FDG uptake by grey matter tissue in the MTL, including hippocampal areas, is relatively preserved, suggesting that compensatory mechanisms may play a role in patients with mild AD.

UMIN00003419.

Background/Aim: Magnetic resonance imaging (MRI), cerebral blood flow single photon emission computed tomography (CBF-SPECT), fluorodeoxyglucose-positron emission tomography (FDG-PET) and cerebrospinal fluid (CSF) biomarkers are used for the diagnosis of Alzheimer’s disease (AD). We aimed to reveal the relative sensitivity of these tools in a memory clinic setting. Methods: In 207 patients with probable AD in our memory clinic, medial temporal lobe atrophy on MRI, hypoperfusion/hypometabolism of the parietotemporal lobe and posterior cingulate gyrus in ethylcysteinate dimer-CBF-SPECT/FDG-PET, and abnormalities of CSF amyloid β-protein 1–42, total tau and phosphorylated tau were evaluated as findings characteristic of AD. Results: The AD findings were observed in 77.4% of all AD patients with MRI, 81.6% with CBF-SPECT, 93.1% with FDG-PET and 94.0% with CSF biomarkers. At the stage of Clinical Dementia Rating (CDR) 0.5, CSF biomarkers were the most sensitive (90.0%); at the stage of CDR 1, FDG-PET (96.7%) and CSF biomarkers (95.5%) were highly sensitive. At the stage of CDR 2, all tools showed high positive percentages. Conclusion: The diagnosis of AD was most often supported by CSF biomarkers and FDG-PET at the early stage of dementia (CDR 1) and by CSF biomarkers at the earlier stage (CDR 0.5).

Our results indicate that MBs, particularly CAA-related MBs would cause gray matter atrophy and glucose hypometabolism in AD.

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The aim of this study was to compare optimized voxel-based morphometry (VBM) and 18 F-FDG PET for discrimination between patients with Alzheimer's disease (AD) and healthy subjects in relation to age. Methods: The study population consisted of 2 groups; the first group (27 AD patients and 40 control subjects) was used to determine the locations of significant abnormalities for both PET and VBM using statistical parametric mapping, and the second group (34 AD patients and 50 control subjects) was used to compare the diagnostic performance of PET and VBM. In the second group, a z-score map for PET or VBM of each subject was obtained by comparison with the mean and SD of PET or gray-matter MR images of the control subjects. Receiver-operating-characteristic (ROC) curve analysis was then performed to compare the diagnostic performance between PET and VBM. Furthermore, group 2 was divided into the early-and late-onset subgroups, and ROC analysis was performed for each subgroup. Results: In the first group, VBM revealed a significant decrease in gray-matter concentration in the hippocampus complex in AD, whereas PET showed a significant reduction in 18 F-FDG uptake in the posterior cingulate and parietotemporal lobe. The diagnostic performance of PET (0.988 6 0.008; mean 6 SE), as measured by the area under the ROC curve, was higher than that of VBM with (0.782 6 0.059) or without (0.832 6 0.049) modulation. PET yielded a sensitivity, specificity, and overall accuracy of 100%, 92%, and 95%, respectively, whereas for VBM the sensitivity, specificity, and accuracy were 74%, 92%, and 85%. Modulation for the VBM did not improve these values (56%, 94%, and 79%, respectively). When the early-and late-onset subjects were analyzed separately, the superiority of 18 F-FDG PET was significant only in the early-onset subgroup. Conclusion: The present study indicates that the detection of metabolic alteration by 18 F-FDG PET yields a better diagnostic performance for the discrimination between AD patients and healthy control subjects than does the morphologic approach by VBM, particularly in the early-onset subjects.