Correlation Analysis Between 3D and Plane DAT Binding Parameters of 11C-CFT PET/CT and the Clinical Characteristics of Patients with Parkinson's Disease.

IF 2.5 4区 医学 Q3 NEUROSCIENCES
Xiaodong Wu, Ziyuan Li, Jing Gan, Feng Wei, Ping Wu, Sheng Liang, Yufei Ma, Lin Ding, Chuantao Zuo, Zhenguo Liu, Hui Wang, Yafu Yin
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引用次数: 0

Abstract

Objective: The aim of this study was to investigate the correlation between dopamine transporter (DAT) positron emission tomography (PET)/computed tomography (CT) and the clinical characteristics and rating scales of Parkinson's disease (PD) patients. Additionally, we sought to assess the scientific validity and feasibility of integrating 3D-dopaminergic binding parameters into the clinical scoring system for PD.

Methods: A total of 75 patients with PD who underwent 11C-methyl-N-2β-methyl ester-3β-(4-fluorophenyl) tropane (11C-CFT) PET/CT from April, 2019 to June, 2021 were retrospectively analyzed. Clinical characteristics, including age, sex, and disease duration, as well as the modified Hoehn-Yahr (H-Y) scale, Unified Parkinson's Disease Rating Scale (UPDRS) parts II and III (II-III), and Mini-Mental State Examination (MMSE) scores of PD patients during the corresponding time periods were collected. DAT binding parameters and their derived parameters based on plane and 3D images in the neostriatum were analyzed for consistency with plane and 3D parameters, and the correlation between DAT parameters and the clinical features of patients were assessed using SPSS software.

Results: The DAT binding parameters derived from 3D images demonstrated good consistency with the plane parameters (p < 0.05). The asymmetry index (ai) of DAT binding parameters based on 3D and plane images showed good consistency in the anterior putamen (p < 0.05). The plane parameters of the anterior and posterior putamen were statistically correlated with the UPDRS II-III score and H-Y score of PD patients (p < 0.05), whereas those of the caudate nucleus were correlated with UPDRS II and MMSE scores. The 3D parameters in the neostriatum showed good statistical correlation with disease duration, UPDRS II-III score, H-Y score, and H-Y stage of PD patients (p < 0.05), and the ai was significantly correlated with MMSE score (p < 0.05). The 3D parameters in the putamen and posterior putamen exhibited significant statistical correlation with the UPDRS II-III score, H-Y score, and H-Y stage in PD patients (p < 0.05). The ai in the putamen showed statistical correlation with UPDRS III and MMSE scores, and the ai in the posterior putamen showed statistical correlation with UPDRS II score (p < 0.05).

Conclusions: Quantitative parameters based on plane and 3D images of 11C-CFT PET/CT showed good consistency. Moreover, 3D parameters in the neostriatum had a stronger correlation with activities of daily living, UPDRS motor scores, disease severity and duration, and cognition compared with plane parameters in PD patients.

11C-CFT PET/CT三维、平面数据结合参数与帕金森病患者临床特征的相关性分析
目的:探讨多巴胺转运体(DAT)正电子发射断层扫描(PET)/计算机断层扫描(CT)与帕金森病(PD)患者临床特征及评定量表的相关性。此外,我们试图评估将3d -多巴胺能结合参数整合到PD临床评分系统中的科学有效性和可行性。方法:回顾性分析2019年4月至2021年6月接受11c -甲基- n -2β-甲酯-3β-(4-氟苯基)tropane (11C-CFT) PET/CT检查的75例PD患者。收集PD患者相应时间段的临床特征,包括年龄、性别、病程,以及修改后的Hoehn-Yahr (H-Y)量表、统一帕金森病评定量表(UPDRS)第二部分和第三部分(II-III)、迷你精神状态检查(MMSE)评分。分析基于新纹状体平面和三维图像的DAT绑定参数及其衍生参数与平面和三维参数的一致性,并利用SPSS软件评估DAT参数与患者临床特征的相关性。结果:三维图像得到的DAT结合参数与平面参数具有较好的一致性(p < 0.05)。三维图像与平面图像的DAT结合参数不对称指数(ai)在前壳核内一致性较好(p < 0.05)。前、后壳核平面参数与PD患者UPDRS II- iii评分、H-Y评分相关(p < 0.05),尾状核平面参数与UPDRS II、MMSE评分相关(p < 0.05)。新纹状体三维参数与PD患者病程、UPDRS II-III评分、H-Y评分、H-Y分期有较好的统计学相关性(p < 0.05), ai与MMSE评分有显著相关性(p < 0.05)。PD患者的UPDRS II-III评分、H-Y评分、H-Y分期与硬壳核及后硬壳核三维参数有显著的统计学相关性(p < 0.05)。壳核ai与UPDRS III、MMSE评分有统计学相关性,后壳核ai与UPDRS II评分有统计学相关性(p < 0.05)。结论:基于11C-CFT PET/CT平面和三维图像的定量参数具有良好的一致性。此外,与PD患者的平面参数相比,新纹状体的3D参数与日常生活活动、UPDRS运动评分、疾病严重程度和持续时间以及认知有更强的相关性。
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来源期刊
CiteScore
2.80
自引率
5.60%
发文量
173
审稿时长
2 months
期刊介绍: JIN is an international peer-reviewed, open access journal. JIN publishes leading-edge research at the interface of theoretical and experimental neuroscience, focusing across hierarchical levels of brain organization to better understand how diverse functions are integrated. We encourage submissions from scientists of all specialties that relate to brain functioning.
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