Chen Yuna, Pan Yongsheng, Kang Shangyu, Lu Junshen, Tan Xin, Liang Yi, Lyu Wenjiao, Li Yifan, Huang Haoming, Qin Chunhong, Zhu Zhangzhi, Li Saimei, Qiu Shijun
Department of Endocrinology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Postdoctoral Research Station, Guangzhou University of Chinese Medicine, Guangzhou, China.
Front Neurosci. 2021 Oct 26;15:728874. doi: 10.3389/fnins.2021.728874. eCollection 2021.
Diabetes with high blood glucose levels may damage the brain nerves and thus increase the risk of dementia. Previous studies have shown that dementia can be reflected in altered brain structure, facilitating computer-aided diagnosis of brain diseases based on structural magnetic resonance imaging (MRI). However, type 2 diabetes mellitus (T2DM)-mediated changes in the brain structures have not yet been studied, and only a few studies have focused on the use of brain MRI for automated diagnosis of T2DM. Hence, identifying MRI biomarkers is essential to evaluate the association between changes in brain structure and T2DM as well as cognitive impairment (CI). The present study aims to investigate four methods to extract features from MRI, characterize imaging biomarkers, as well as identify subjects with T2DM and CI.
血糖水平高的糖尿病可能会损害脑神经,从而增加患痴呆症的风险。先前的研究表明,痴呆症可通过大脑结构的改变反映出来,这有助于基于结构磁共振成像(MRI)对脑部疾病进行计算机辅助诊断。然而,2型糖尿病(T2DM)介导的脑结构变化尚未得到研究,只有少数研究关注利用脑部MRI对T2DM进行自动诊断。因此,识别MRI生物标志物对于评估脑结构变化与T2DM以及认知障碍(CI)之间的关联至关重要。本研究旨在探究从MRI中提取特征的四种方法,表征成像生物标志物,并识别患有T2DM和CI的受试者。