Kostek Matthew, Polaski Anna, Kolber Benedict, Ramsey Austin, Kranjec Alexander, Szucs Kimberly
Chronic Pain Research Consortium, Duquesne University; Department of Physical Therapy, Duquesne University.
Chronic Pain Research Consortium, Duquesne University; Department of Biological Sciences, Duquesne University.
J Vis Exp. 2016 Dec 19(118):54130. doi: 10.3791/54130.
Numerous qualitative and quantitative techniques can be used to test sensory nerves and pain in both research and clinical settings. The current study demonstrates a quantitative sensory testing protocol using techniques to measure tactile sensation and pain threshold for pressure and heat using portable and easily accessed equipment. These techniques and equipment are ideal for new laboratories and clinics where cost is a concern or a limiting factor. We demonstrate measurement techniques for the following: cutaneous mechanical sensitivity on the arms and legs (von-Frey filaments), radiant and contact heat sensitivity (with both threshold and qualitative assessments using the Visual Analog Scale (VAS)), and mechanical pressure sensitivity (algometer, with both threshold and the VAS). The techniques and equipment described and demonstrated here can be easily purchased, stored, and transported by most clinics and research laboratories around the world. A limitation of this approach is a lack of automation or computer control. Thus, these processes can be more labor intensive in terms of personnel training and data recording than the more sophisticated equipment. We provide a set of reliability data for the demonstrated techniques. From our description, a new laboratory should be able to set up and run these tests and to develop their own internal reliability data.
在研究和临床环境中,有许多定性和定量技术可用于测试感觉神经和疼痛。当前的研究展示了一种定量感觉测试方案,该方案使用便携且易于获取的设备来测量触觉以及压力和热的疼痛阈值。这些技术和设备对于成本是一个考虑因素或限制因素的新实验室和诊所来说非常理想。我们展示了以下测量技术:手臂和腿部的皮肤机械敏感性(von-Frey细丝)、辐射热和接触热敏感性(使用视觉模拟量表(VAS)进行阈值和定性评估)以及机械压力敏感性(痛觉计,使用阈值和VAS)。这里描述和展示的技术及设备能够被全球大多数诊所和研究实验室轻松购买、储存和运输。这种方法的一个局限性是缺乏自动化或计算机控制。因此,相较于更精密的设备,这些过程在人员培训和数据记录方面可能需要更多的人力。我们为所展示的技术提供了一组可靠性数据。根据我们的描述,一个新实验室应该能够设置并进行这些测试,并建立自己内部的可靠性数据。