Tanyaluck Thientunyakit1,2, Thonnapong Thongpraparn3, Chakmeedaj Sethanandha3, Takahiro Yamada4, Yuichi Kimura5, Weerasak Muangpaisan6, Kazunari Ishii4,7. 1. Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand. stanyalu@hotmail.com. 2. Division of Nuclear Medicine, Department of Radiology, Faculty of Medicine, Siriraj Hospital, 2 Wanglang Road, Bangkok Noi, Bangkok, 10700, Thailand. stanyalu@hotmail.com. 3. Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand. 4. Institute of Advanced Clinical Medicine, Kindai University Hospital, 377-2 Ohnohigashi, Osaka-Sayama, Osaka, 589-8511, Japan. 5. Graduate School of Biology-Oriented Science and Technology, Kindai University, 930 Nishimitani, Kinokawa City, Wakayama, 649-6493, Japan. 6. Department of Preventive and Social Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang, Siriraj, Bangkok Noi, Bangkok, 10700, Thailand. 7. Department of Radiology, Faculty of Medicine, Kindai University, 377-2 Ohnohigashi, Osaka-Sayama, , Osaka, 589-8511, Japan.
Abstract
PURPOSE: To determine the association between occipital amyloid-PET uptake and neurocognitive performance in Alzheimer's disease (AD). MATERIALS AND METHODS: Fifty-eight participants with normal aged, mild cognitive impairment (MCI) due to AD and AD subjects who underwent F-18 florbetapir brain PET/CT scans were divided into four groups (A, normal; B, MCI; C, mild AD; and D, moderate/severe AD). Semiquantitative analyses of SUVR images were performed. The differences between groups and the correlations between florbetapir uptake and Thai Mental State Examination (TMSE) scores were determined. Significant differences were defined using a P < 0.001, uncorrected, or a P < 0.05, FWE for the voxel-based analyses with Statistical Parametric Mapping (SPM). RESULTS: There was a slightly higher florbetapir uptake in the precuneus, parietal, and occipital association cortices in Group B > A. The occipital florbetapir uptake in Groups C and D was significantly higher than in Group A, in addition to the precuneus, anterior cingulate, posterior cingulate, temporoparietal, and frontal cortices. There was a strong negative correlation between TMSE scores and florbetapir uptake in the occipital lobe. CONCLUSIONS: Occipital amyloid uptake is associated with clinically advanced AD, and is inversely correlated with neurocognitive performance and may be useful for evaluating AD severity.
PURPOSE: To determine the association between occipital amyloid-PET uptake and neurocognitive performance in Alzheimer's disease (AD). MATERIALS AND METHODS: Fifty-eight participants with normal aged, mild cognitive impairment (MCI) due to AD and AD subjects who underwent F-18florbetapir brain PET/CT scans were divided into four groups (A, normal; B, MCI; C, mild AD; and D, moderate/severe AD). Semiquantitative analyses of SUVR images were performed. The differences between groups and the correlations between florbetapir uptake and Thai Mental State Examination (TMSE) scores were determined. Significant differences were defined using a P < 0.001, uncorrected, or a P < 0.05, FWE for the voxel-based analyses with Statistical Parametric Mapping (SPM). RESULTS: There was a slightly higher florbetapir uptake in the precuneus, parietal, and occipital association cortices in Group B > A. The occipital florbetapir uptake in Groups C and D was significantly higher than in Group A, in addition to the precuneus, anterior cingulate, posterior cingulate, temporoparietal, and frontal cortices. There was a strong negative correlation between TMSE scores and florbetapir uptake in the occipital lobe. CONCLUSIONS: Occipital amyloid uptake is associated with clinically advanced AD, and is inversely correlated with neurocognitive performance and may be useful for evaluating AD severity.
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