Wu Simon, Curran Matthew W T, Hachisuka Akiko, Rajshekar Mithun, Chan K Ming
Division of Physical Medicine and Rehabilitation, University of Alberta, Edmonton, Alberta, Canada.
Division of Plastic Surgery, University of Alberta, Edmonton, Alberta, Canada.
Muscle Nerve. 2022 Sep;66(3):297-303. doi: 10.1002/mus.27654. Epub 2022 Jun 19.
INTRODUCTION/AIMS: It is important to quantify the amount of crossover innervation from the anterior interosseous nerve (AIN) through Martin-Gruber anastomosis (MGA) particularly in patients with high ulnar nerve injury who undergo nerve transfer surgery. The objective of this study is to describe a novel electrophysiological method for quantifying innervation from the AIN that can be done using conventional nerve conduction study setup and commonly available software for analysis.
Seven subjects with MGA and nine patients who had undergone AIN to ulnar nerve transfer underwent conventional motor nerve conduction studies. Recording was done over the hypothenar and first dorsal interosseous muscles while stimulating the median and ulnar nerves at the wrist and elbow. Datapoint-by-datapoint subtraction of the compound muscle action potentials evoked at the elbow and wrist was performed after they had been onset-aligned. The results were compared to the collision technique and innervation ratio method.
Results from the digital subtraction method were highly correlated with the collision technique (r = 0.96, p < 0.05). In contrast, its correlation with the innervation ratio method is substantially lower.
In comparison to previously described techniques, the digital subtraction method has a number of practical advantages. It uses conventional nerve conduction study setup, and the added step of digital alignment and subtraction can be done through commonly available software. With the increasing use of nerve transfer surgery in severe high ulnar nerve injury, this could be a useful method to identify the presence of MGA prior to surgery and for evaluating nerve recovery following surgery.
引言/目的:量化通过马丁 - 格鲁伯吻合术(MGA)从前臂骨间前神经(AIN)交叉支配的数量非常重要,特别是对于接受神经移植手术的高位尺神经损伤患者。本研究的目的是描述一种新颖的电生理方法,用于量化来自AIN的支配,该方法可使用传统的神经传导研究设置和常用的分析软件来完成。
对7例有MGA的受试者和9例接受过AIN至尺神经移植的患者进行了传统的运动神经传导研究。在刺激腕部和肘部的正中神经和尺神经时,在小鱼际肌和第一背侧骨间肌上进行记录。在复合肌肉动作电位在起始点对齐后,逐点减去在肘部和腕部诱发的复合肌肉动作电位。将结果与碰撞技术和支配率方法进行比较。
数字减法方法的结果与碰撞技术高度相关(r = 0.96,p < 0.05)。相比之下,其与支配率方法的相关性要低得多。
与先前描述的技术相比,数字减法方法具有许多实际优点。它使用传统的神经传导研究设置,并且数字对齐和减法的附加步骤可以通过常用软件完成。随着神经移植手术在严重高位尺神经损伤中的使用越来越多,这可能是一种在手术前识别MGA的存在以及评估手术后神经恢复的有用方法。