Lin Yu, Fu Ying, Zeng Yi-Fang, Hu Jian-Ping, Lin Xiao-Zhen, Cai Nai-Qing, Weng Qiang, Zhao Yi-Jing, Lin Yi, Cao Dai-Rong, Wang Ning
1Department of Neurology and Institute of Neurology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
2Central Laboratory, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Aging Dis. 2020 Oct 1;11(5):1082-1090. doi: 10.14336/AD.2019.1103. eCollection 2020 Oct.
The focus of our investigation was to determine the feasibility of using six visual rating scales as whole-brain imaging markers for monitoring atrophied brain volume in Parkinson's disease (PD). This was a prospective cross-sectional single-center observational study. A total of 98 PD patients were enrolled and underwent an MRI scan and a battery of neuropsychological evaluations. The brain volume was calculated using the online resource MRICloud. Brain atrophy was rated based on six visual rating scales. Correlation analysis was performed between visual rating scores and brain volume and clinical features. We found a significant negative correlation between the total scores of visual rating scores and quantitative brain volume, indicating that six visual rating scales reliably reflect whole brain atrophy in PD. Multiple linear regression-based analyses indicated severer non-motor symptoms were significantly associated with higher scores on the visual rating scales. Furthermore, we performed sample size calculations to evaluate the superiority of visual rating scales; the result show that using total scores of visual rating scales as an outcome measure, sample sizes for differentiating cognition injury require significantly fewer subjects (n = 177) compared with using total brain volume (n = 2524). Our data support the use of the total visual rating scores rather than quantitative brain volume as a biomarker for monitoring cerebral atrophy.
我们研究的重点是确定使用六种视觉评分量表作为全脑成像标记物来监测帕金森病（PD）脑萎缩体积的可行性。这是一项前瞻性横断面单中心观察性研究。共纳入98例PD患者，他们接受了MRI扫描和一系列神经心理学评估。使用在线资源MRICloud计算脑体积。基于六种视觉评分量表对脑萎缩进行评分。对视觉评分与脑体积及临床特征进行相关性分析。我们发现视觉评分总分与定量脑体积之间存在显著负相关，表明六种视觉评分量表能可靠地反映PD患者的全脑萎缩情况。基于多元线性回归的分析表明，较严重的非运动症状与视觉评分量表上的较高分数显著相关。此外，我们进行了样本量计算以评估视觉评分量表的优越性；结果显示，将视觉评分量表总分作为结果指标时，与使用全脑体积相比，区分认知损伤所需的样本量显著更少（n = 177），而使用全脑体积时需要2524例受试者（n = 2524）。我们的数据支持使用视觉评分总分而非定量脑体积作为监测脑萎缩的生物标志物。
