This study was to explore the value of magnetic resonance imaging (MRI) technology processed by convolutional neural network (CNN) optimization algorithms in the clinical research of patients with chronic pain caused by myofascial trigger points (MTrPs). Firstly, referring to the traditional iterative algorithm, this study iterated the convolution network and data consistency layer as a whole for several times, which increased the fitting ability of the data consistency layer and network. When it was applied to magnetic resonance examination, it could be concluded that the effect of its reconstruction method was better than the traditional convolution neural network without the data consistency layer. The image edge was clear, and the restoration effect of details was better. 100 patients with chronic neck pain caused by MTrP were collected and divided into an ultrasound treatment group and a local anesthetic drug injection group, with 50 cases in each group. In addition, 50 healthy volunteers were selected. After clinical treatment, the results showed that, after 3 weeks of treatment, the visual analog score (VAS) and the pain rating index (PRI) of the injection group were 3.16 ± 1.14 points and 4.92 ± 1.26 points, respectively; the present pain intensity (PPI) score was 2.06 ± 0.85 points, and the number of pain days per month was 7.73 ± 1.15. After 1 month of treatment, the VSA and PRI of the injection group were 1.24 ± 0.89 and 1.31 ± 0.97, respectively; the PPI score was 1.34 ± 0.65, and the number of pain days per month was 5.34 ± 0.98. In addition, there were 38 cases reaching the level of clinical cure, accounting for 76%. Therefore, all indicators in the injection group were better than those in the ultrasound treatment group, and the differences were statistically significant (). The results of MRI examination showed that compared with the healthy control group, patients with chronic pain caused by the myofascial trigger point had reduced axial kurtosis (AK), mean kurtosis (MK), and radial kurtosis (RK) in multiple brain areas such as the right parahippocampal gyrus and the right medial prefrontal cortex. In short, chronic pain caused by the trigger point of the myofascial membrane would affect the microstructure of the gray matter of the patient’s brain. In clinical treatment, the efficacy of local anesthetic injection was better than ultrasound therapy.

中文翻译：

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基于卷积神经网络优化算法的磁共振成像分析肌筋膜触发点引起的慢性疼痛

本研究旨在探讨由卷积神经网络（CNN）优化算法处理的磁共振成像（MRI）技术在肌筋膜触发点（MTrPs）引起的慢性疼痛患者的临床研究中的价值。首先，本研究参考传统的迭代算法，将卷积网络和数据一致性层作为一个整体进行了多次迭代，增加了数据一致性层和网络的拟合能力。应用于磁共振检查时，可以得出其重建方法的效果优于没有数据一致性层的传统卷积神经网络。图像边缘清晰，细节还原效果较好。收集MTrP所致慢性颈痛患者100例，分为超声治疗组和局麻药物注射组，每组50例。此外，还选择了 50 名健康志愿者。经临床治疗，结果显示，治疗3周后，注射组的视觉模拟评分（VAS）和疼痛评分指数（PRI）分别为3.16±1.14分和4.92±1.26分；目前疼痛强度（PPI）评分为2.06±0.85分，每月疼痛天数为7.73±1.15。治疗1个月后，注射组的VSA和PRI分别为1.24±0.89和1.31±0.97；PPI 评分为 1.34±0.65，每月疼痛天数为 5.34±0.98。此外，达到临床治愈水平的有38例，占 76%。因此，注射组各项指标均优于超声治疗组，差异有统计学意义（）。MRI检查结果显示，与健康对照组相比，肌筋膜扳机点引起的慢性疼痛患者的多个脑区的轴向峰态（AK）、平均峰态（MK）和径向峰态（RK）降低。右侧海马旁回和右侧内侧前额叶皮层。总之，肌筋膜触发点引起的慢性疼痛会影响患者大脑灰质的微观结构。在临床治疗中，注射局麻药的疗效优于超声治疗。