Anatomical evaluation and cone-beam computed tomography of some maxillary nerve block approaches in dog

犬上颌神经阻滞术的解剖学评估和锥形束计算机断层扫描

阅读:1

Abstract

Effective pain management is a cornerstone of modern veterinary surgical care, with regional nerve blocks as a crucial tool for targeted analgesia. The maxillary nerve, a major sensory branch of the trigeminal nerve, innervates numerous facial and oral structures, making its blockade essential in oral and maxillofacial procedures in dogs. Despite several described approaches namely the subzygomatic, infraorbital, and maxillary tuberosity techniques, there remains limited comparative anatomical and radiological data to guide clinical decision-making. This study evaluated these three approaches using anatomical dissection and cone-beam computed tomography (CBCT) in six canine cadavers (n = 6). Each received an injectate (methylene blue, iohexol, and bupivacaine) via the three techniques. Pre- and post-injection CBCT scans were analyzed using NNT Viewer v3 and OnDemand3D software, measuring contrast spread in sagittal and dorsal planes (1- and 10-mm slices) and correlating with dissections. Results demonstrated that the infraorbital approach had significantly higher staining of the maxillary nerve compared to the maxillary tuberosity and subzygomatic approaches (P < 0.05). The maximum amount of diffusion of the contrast medium along the maxillary nerve was for the infraorbital approach. Sagittal (10 mm) and dorsal (1 mm) sections had the highest compliance with the length of dye diffusion measured in the anatomical sections. In the maxillary tuberosity approach, sagittal and dorsal views with a thickness of 10 mm had the highest compliance with the length of dye diffusion measured in the anatomical sections. The infraorbital method provided the most consistent and effective blockade, suggesting its preferential use in clinical practice for optimized analgesia.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。