Effects of different reference brain regions on the SUV ratio of 18F-Florzolotau PET images in Alzheimer′s disease
10.3760/cma.j.cn321828-20231129-00126
- VernacularTitle:不同参考脑区对阿尔茨海默病 18F－Florzolotau PET图像SUV比值的影响
- Author:
Qi ZHANG
1
;
Rong SHI
;
Min WANG
;
Jiaying LU
;
Luyao WANG
;
Qianhua ZHAO
;
Fangyang JIAO
;
Ming LI
;
Yihui GUAN
;
Chuantao ZUO
;
Jiehui JIANG
Author Information
1. 上海大学通信与信息工程学院，上海 200444
- Keywords:
Alzheimer disease;
Cognitive dysfunction;
Amyloid beta-peptides;
tau proteins;
Benzothiazoles;
Positron-emission tomography;
18F-florzolotau
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2024;44(5):279-284
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To compare the effects of different reference brain regions on the semi-quantitative SUV ratio (SUVR) of 18F-Florzolotau PET images of Alzheimer′s disease (AD). Methods:The 18F-Florzolotau PET images of 28 (13 males, 15 females, age (57.3±9.5) years) normal controls (NC), 19 patients (4 males, 15 females, age (73.3±7.3) years) with β-amyloid (Aβ)-positive mild cognitive impairment (MCI) and 40 patients (19 males, 21 females, age (61.9±9.1) years) with AD were collected from Huashan Hospital, Fudan University between November 2018 and July 2020. Six semi-quantitative reference brain regions were defined, including whole cerebellum (WC), cerebellar gray matter (GM), cerebellar white matter (WM), parametric estimation of reference signal intensity (PERSI), WC after partial volume correction (WC_pvc), cerebellar GM after partial volume correction (GM_pvc). SUVR was calculated for 14 ROIs, which included the whole brain defined by the automated anatomical labeling (AAL) template, fusiform, inferior temporal, lingual, middle temporal, occipital, parahippocampal, parietal, posterior cingulate, precuneus defined by the AAL template, and Meta ROI composed of the above brain regions, and braak_Ⅰ-Ⅱ, braak_Ⅲ-Ⅳ, braak_Ⅴ-Ⅵ defined by the Desikan Killiany template. AUC was used to evaluate the classification ability of SUVR, and the correlation between SUVR and clinical scale scores were assessed by Spearman rank correlation analysis. Results:The SUVRs of most brain regions showed a steady upward trend in the AD disease spectrum. In the classification task of NC and MCI, the overall performance of SUVR based on WC_pvc was relatively optimal (AUCs: 0.975-1.000). In the classification task of NC and AD, SUVRs of 10 ROIs based on the WC_pvc method showed the relatively best performance (AUCs: 0.976-1.000). The correlation between SUVR of fusiform based on cerebellar WM and mini-mental state examination (MMSE) score was the strongest ( rs=-0.72, P<0.001), and the SUVR of precuneus based on WC_pvc showed the strongest correlation with clinical dementia rating (CDR) score ( rs=0.78, P<0.001). Conclusion:The SUVR based on WC_pvc method performs well in classification and correlation tasks, and is recommended to be used in semi-quantification of 18F-Florzolotau PET images of AD.
