Second Department of Bone Surgery, Affiliated Hospital of BeiHua University, Jilin 132011, China.
Second Department of Neurology, Affiliated Hospital of BeiHua University, Jilin 132011, China.
J Healthc Eng. 2022 Apr 14;2022:6056502. doi: 10.1155/2022/6056502. eCollection 2022.
The paper analyzes the detection of insomnia and carotid artery stenosis by magnetic sensitivity weighted imaging (SWI) based on radio communication and its relationship with cognitive dysfunction. A total of 148 patients with carotid artery stenosis and insomnia admitted to our hospital from January 2020 to June 2021 are selected. According to different detection methods, wireless communication combined with SWI group and conventional group are established respectively, with 74 cases in each group. The conventional group applies CT angiography (CTA) is in line with the intervention mode of patients complaining of sleep at night. In the wireless communication combined with SWI group, the sleep monitoring system of wireless communication combined with SWI detection method is used to observe the imaging detection rate, insomnia detection rate and diagnostic efficiency of the two groups. The differences of PSG index parameters, sleep quality (PSQI) score and cognitive function (MoCA) score of patients with different disease degrees are compared. Pearson correlation coefficient is used to analyze the correlation between PSQI score and MoCA score. SWI sequence scan based on wireless network communication has high efficiency in the diagnosis of carotid artery stenosis, and the sleep status of patients can be better understood by real-time monitoring of patients, which is of great significance for the follow-up development of effective diagnosis and treatment plans and recovery of patients' cognitive function, and worthy of clinical application.
本文分析了基于无线电通信的磁敏感加权成像(SWI)对失眠和颈动脉狭窄的检测及其与认知功能障碍的关系。选取 2020 年 1 月至 2021 年 6 月我院收治的颈动脉狭窄合并失眠患者 148 例,根据检测方法的不同,分别建立无线通信联合 SWI 组与常规组,每组 74 例。常规组采用 CT 血管造影(CTA)符合夜间睡眠抱怨的患者的介入模式。在无线通信联合 SWI 组中,采用无线通信联合 SWI 检测方法的睡眠监测系统观察两组的影像学检出率、失眠检出率及诊断效能。比较不同疾病程度患者 PSG 指标参数、睡眠质量(PSQI)评分及认知功能(MoCA)评分的差异,采用 Pearson 相关系数分析 PSQI 评分与 MoCA 评分的相关性。基于无线网络通信的 SWI 序列扫描对颈动脉狭窄的诊断具有较高的效率,通过实时监测患者的睡眠状态,对后续制定有效的诊断和治疗方案以及恢复患者的认知功能具有重要意义,值得临床应用。