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基于智能算法的高压氧疗法综合治疗脑卒中后抑郁对脑神经功能恢复效果的磁共振评价。

Magnetic Resonance Imaging to Evaluate the Recovery Effects of Cerebral Nerve Function in Comprehensive Treatment of Poststroke Depression by Intelligent Algorithm-Based Hyperbaric Oxygen Therapy.

机构信息

Department of Neurology, The Second Affiliated Hospital of Mudanjiang Medical University, Mudanjiang 157000, China.

Student Affairs Department, Mudanjiang Medical University, Mudanjiang 157011, China.

出版信息

Comput Intell Neurosci. 2022 Mar 30;2022:6214223. doi: 10.1155/2022/6214223. eCollection 2022.

Abstract

This research was aimed to discuss magnetic resonance imaging (MRI) evaluation of recovery effects of cerebral nerve function in comprehensive treatment of poststroke depression (PSD) by intelligence-based hyperbaric oxygen therapy. Low-rank matrix algorithm was adopted to denoise MRI images of patients with PSD, and mean square error (MSE) and peak signal-to-noise ratio (PSNR) were the evaluation indicators of the results of image denoising. 118 patients were randomly divided into the control group (administered escitalopram oxalate) and the research group (hyperbaric oxygen therapy was implemented based on the treatment in control group). National Institutes of Health Stroke Scale (NIHSS), Hamilton Depression Scale (HAMD), Pittsburgh Sleep Quality Index (PSQI), glial fibrillary acidic protein (GFAP), and changes of norepinephrine (NE) level of patients in two groups were compared before and after treatment. The value of MSE of MRI images processed by low-rank matrix algorithm was 92.39, which was higher than that calculated by nonlocal mean (NLM) algorithm (80.54). The PSNR value calculated by low-rank matrix algorithm was 25.35, which was lower than that calculated by NLM algorithm (29.07). In contrast, NIHSS score and HAMD score of the research group after treatment were lower than those of the control group, while PSQI score of the research group was higher than that of the control group. The level of GFAP of the research group was at 852.46 ± 94.47, which was significantly lower than that of the control group, reaching 948.53 ± 98.42. However, the level of NE of the research group was 1478.59 ± 99.85, which was higher than that of the control group (1061.80 ± 98.02). All the comparisons of above indicators had statistical meaning ( < 0.05). The low-rank matrix algorithm can help in clinical diagnosis and treatment to provide more accurate MRI images. In addition, hyperbaric oxygen comprehensive therapy can promote the recovery of neurological function in patients with poststroke depression and significantly improve the depressive state and sleep quality of patients.

摘要

本研究旨在探讨基于智力的高压氧治疗对脑卒中后抑郁(PSD)患者的神经功能恢复效果的磁共振成像(MRI)评估。采用低秩矩阵算法对 PSD 患者的 MRI 图像进行降噪处理,均方误差(MSE)和峰值信噪比(PSNR)为图像降噪结果的评价指标。将 118 例患者随机分为对照组(给予草酸艾司西酞普兰)和观察组(在对照组治疗基础上进行高压氧治疗)。比较两组患者治疗前后的美国国立卫生研究院卒中量表(NIHSS)评分、汉密尔顿抑郁量表(HAMD)评分、匹兹堡睡眠质量指数(PSQI)评分、胶质纤维酸性蛋白(GFAP)水平及去甲肾上腺素(NE)水平变化。低秩矩阵算法处理后的 MRI 图像的 MSE 值为 92.39,高于非局部均值(NLM)算法(80.54)的计算值。低秩矩阵算法计算的 PSNR 值为 25.35,低于 NLM 算法(29.07)的计算值。相比之下,观察组治疗后的 NIHSS 评分和 HAMD 评分均低于对照组,PSQI 评分高于对照组。观察组的 GFAP 水平为 852.46±94.47,明显低于对照组,达到 948.53±98.42。然而,观察组的 NE 水平为 1478.59±99.85,高于对照组(1061.80±98.02)。以上所有指标的比较均有统计学意义(<0.05)。低秩矩阵算法可以帮助临床诊断和治疗,提供更准确的 MRI 图像。此外,高压氧综合治疗可以促进脑卒中后抑郁患者神经功能的恢复,显著改善患者的抑郁状态和睡眠质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b14f/8986394/83d7b03ba428/CIN2022-6214223.001.jpg

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