Sanders Neal W, Mann N Horace, Spengler Dan M
Department of Orthopaedics and Rehabilitation, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
Spine (Phila Pa 1976). 2006 Nov 1;31(23):2735-41; discussion 2742-3. doi: 10.1097/01.brs.0000244674.99258.f9.
This is a retrospective study of 250 patients who describe low back pain with pain drawings. A computer application using artificial neural networks was designed to analyze pain drawings and evaluate the contribution of pain sensation to drawing classification.
The primary goal of this study was to assess the contribution of patient recorded pain sensation marks in classifying pain drawings into one of five broadly defined categories. The hypothesis was that including pain sensation would improve classification.
With no perfect diagnostic test for patients with low back pain, many approaches have been proposed and are used. One common diagnostic tool is the pain drawing. Several quantitative methods have been proposed to score the drawings. Some methods use pain sensation in the scoring; however, the contribution of pain sensation has not been defined.
A custom computer application classified the pain drawing. Data consisted of 250 pain drawings from patients with low back pain.
Patient recorded pain sensation is not necessary in computer-based scoring of pain drawings.
Patient-reported pain sensation does not improve classification when quantitatively scoring pain drawings.
这是一项对250名使用疼痛绘图描述下背痛的患者进行的回顾性研究。设计了一个使用人工神经网络的计算机应用程序来分析疼痛绘图，并评估疼痛感觉对绘图分类的贡献。
本研究的主要目标是评估患者记录的疼痛感觉标记在将疼痛绘图分类为五个大致定义的类别之一时的贡献。假设是纳入疼痛感觉会改善分类。
对于下背痛患者，没有完美的诊断测试，已经提出并使用了许多方法。一种常见的诊断工具是疼痛绘图。已经提出了几种定量方法来对绘图进行评分。一些方法在评分中使用疼痛感觉；然而，疼痛感觉的贡献尚未明确。
一个定制的计算机应用程序对疼痛绘图进行分类。数据包括来自下背痛患者的250张疼痛绘图。
在基于计算机的疼痛绘图评分中，患者记录的疼痛感觉不是必需的。
在对疼痛绘图进行定量评分时，患者报告的疼痛感觉并不能改善分类。
