Department of Pain Management, Wuhan Fourth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430000, China.
Department of Radiology, Wuhan Fourth Hospital, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City 430000, China.
Comput Math Methods Med. 2022 Jun 28;2022:2648659. doi: 10.1155/2022/2648659. eCollection 2022.
The objective of this research was to investigate the application effect of cervical spine magnetic resonance imaging (MRI) image segmentation algorithm guidance in the treatment of chronic pain with cervical epidural puncture. A total of 72 patients with chronic pain were selected and divided into a cervical spine MRI image-guided group (group A) and a blind puncture group with traditional experience (group B). The results showed that the puncture time of group A was 9.9 ± 8.2 (min), while that of group B was 15.2 ± 8.9 (min), so the puncture time of patients in group A was significantly shorter than that of group B ( < 0.05). The incidences of pain at the puncture site of patients in group A and group B were 6% and 10%, respectively. The incidence of pain at the puncture site in group A was significantly lower than that in group B ( < 0.05). The success rate of the first puncture in group A was 78%, and that in group B was 54%. The success rate of the first puncture in group A was significantly higher than that in group B ( < 0.05). The complication rate of group A was 22.22%, and that of group B was 80.56%. The incidence of complications in group A was significantly lower than that in group B ( < 0.05). In addition, there was no significant difference in the puncture depth between the two groups ( > 0.05). In summary, the guidance of cervical spine MRI image segmentation algorithm can reduce the time and times of puncture and improve the success rate of puncture, thereby reducing the incidence of postoperative complications.
本研究旨在探讨颈椎磁共振成像（MRI）图像分割算法指导在颈椎硬膜外穿刺治疗慢性疼痛中的应用效果。选取 72 例慢性疼痛患者，分为颈椎 MRI 图像引导组（A 组）和传统经验盲穿组（B 组）。结果显示，A 组穿刺时间为 9.9±8.2（min），B 组为 15.2±8.9（min），A 组患者穿刺时间明显短于 B 组（<0.05）。A、B 两组患者穿刺部位疼痛发生率分别为 6%和 10%，A 组穿刺部位疼痛发生率明显低于 B 组（<0.05）。A 组首次穿刺成功率为 78%，B 组为 54%，A 组首次穿刺成功率明显高于 B 组（<0.05）。A 组并发症发生率为 22.22%，B 组为 80.56%，A 组并发症发生率明显低于 B 组（<0.05）。两组穿刺深度比较差异无统计学意义（>0.05）。综上所述，颈椎 MRI 图像分割算法指导可减少穿刺次数和时间，提高穿刺成功率，降低术后并发症发生率。
