不同参考脑区对阿尔茨海默病^(18)F-Florzolotau PET图像SUV比值的影响  

Effects of different reference brain regions on the SUV ratio of ^(18)F-Florzolotau PET images in Alzheimer′s disease

作　　者：张琪 石蓉 王敏 鲁佳荧 王璐瑶 赵倩华 焦方阳 李明[3] 管一晖[3] 左传涛[3] 蒋皆恢 Zhang Qi;Shi Rong;Wang Min;Lu Jiaying;Wang Luyao;Zhao Qianhua;Jiao Fangyang;Li Ming;Guan Yihui;Zuo Chuantao;Jiang Jiehui(School of Communication&Information Engineering,Shanghai University,Shanghai 200444,China;School of Life Sciences,Shanghai University,Shanghai 200444,China;Department of Nuclear Medicine&PET Center,Huashan Hospital,Fudan University,Shanghai 200235,China;Department of Neurology,Huashan Hospital,Fudan University,Shanghai 200040,China)

机构地区：[1]上海大学通信与信息工程学院,上海200444 [2]上海大学生命科学学院,上海200444 [3]复旦大学附属华山医院核医学/PET中心,上海200235 [4]复旦大学附属华山医院神经内科,上海200040

出　　处：《中华核医学与分子影像杂志》2024年第5期279-284,共6页Chinese Journal of Nuclear Medicine and Molecular Imaging

基　　金：国家自然科学基金(62206165、81971641);上海市科技计划项目(22YF1413900)。

摘　　要：目的比较不同参考脑区对阿尔茨海默病(AD)^(18)F-Florzolotau PET图像SUV比值(SUVR)的影响。方法从复旦大学附属华山医院收集2018年11月至2020年7月间正常对照(NC)28名[男13名,女15名,年龄(57.3±9.5)岁]、β淀粉样蛋白(Aβ)阳性的轻度认知障碍(MCI)患者19例[男4例,女15例,年龄(73.3±7.3)岁]和AD患者40例[男19例,女21例,年龄(61.9±9.1)岁]的^(18)F-Florzolotau PET图像。定义6种参考脑区:全小脑(WC)、小脑灰质(GM)、小脑白质(WM)、参考信号强度的参数化估计(PERSI)、部分容积校正(PVC)后的WC(WC_pvc)、PVC后的小脑GM(GM_pvc),分别计算14个ROI[由自动解剖标记(AAL)模板定义的全脑,由AAL模板定义的梭状回、颞下回、舌回、颞中回、枕叶、海马旁回、顶叶、后扣带回、楔前叶以及上述脑区构成的Meta ROI,由Desikan Killiany模板定义的braak_Ⅰ~Ⅱ、braak_Ⅲ~Ⅳ、braak_Ⅴ~Ⅵ]的SUVR,用AUC衡量SUVR对疾病组与NC的分类能力,并评估SUVR与临床量表评分的相关性(Spearman秩相关分析)。结果大部分脑区的SUVR在AD疾病谱中表现出稳定的上升趋势。在NC与MCI的分类中,基于WC_pvc的SUVR整体表现相对最优(AUCs:0.975~1.000);在NC与AD的分类中,10个脑区SUVR在WC_pvc方法下效能最优(AUCs:0.976~1.000)。基于小脑WM的梭状回SUVR表现出与简易精神状态检查量表(MMSE)评分最高的相关性(rs=-0.72,P<0.001);基于WC_pvc的楔前叶SUVR表现出与临床痴呆评定量表(CDR)评分最高的相关性(rs=0.78,P<0.001)。结论基于WC_pvc的SUVR在AD疾病鉴别、相关性分析等任务中获得了较好的效能,推荐将其用于AD^(18)F-Florzolotau PET图像半定量分析。Objective To compare the effects of different reference brain regions on the semi-quantitative SUV ratio(SUVR)of^(18)F-Florzolotau PET images of Alzheimer′s disease(AD).Methods The^(18)F-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)withβ-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-Ⅵdefined 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

关 键 词：阿尔茨海默病 认知功能障碍 淀粉样β肽类 TAU蛋白质类 苯并噻唑类 正电子发射断层显像术 ^(18)F-florzolotau 

分 类 号：R749.16[医药卫生—神经病学与精神病学] R816.1[医药卫生—临床医学]