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尿动力学特征和伪影。

Urodynamic features and artefacts.

机构信息

Faculty of Advanced Technology, University of Glamorgan, Treforest, Pontypridd, UK.

出版信息

Neurourol Urodyn. 2012 Sep;31(7):1104-17. doi: 10.1002/nau.22209. Epub 2012 Mar 30.

DOI:10.1002/nau.22209
PMID:22473568
Abstract

AIMS

The aims of this study are to compile a list of common features and artefacts found in urodynamics, to produce definitions of these features, and describe any necessary remedial action. An image and word description for each event has been included as well as statistics providing information on the prevalence and frequency of each event.

METHODS

In order to identify the most common features and artefacts 200 consecutive urodynamic traces were reviewed. A random 10% sample was cross-checked to ensure event classification accuracy. To extract significant pressure peaks from the data, an algorithm was written capable of detecting initial resting pressure and updating it as necessary. Significant pressure peaks were defined as those that differed from resting pressure values by 10 cmH(2) O or more. When describing the events, standard sources were consulted for published definitions. The images selected for each event are typical examples but do not represent the variation that can occur between examples. The patients whose files were used in this study suffered from a variety of lower urinary tract disorders so that it is likely that they cover all common or important urodynamic pressure events.

RESULTS

In total 10,355 pressure events were identified and classified into 19 different categories. For each category, a description, example image and remedial action are included. Where published definitions do not exist, new ones are proposed.

CONCLUSIONS

All common or important urodynamic pressure events have been included in this study and descriptions of the events have been included in one article for the first time.

摘要

目的

本研究旨在列出尿动力学中常见的特征和伪影,并为这些特征定义,以及描述任何必要的补救措施。每个事件都包括图像和文字描述,以及有关每个事件的发生率和频率的统计信息。

方法

为了识别最常见的特征和伪影,我们回顾了 200 份连续的尿动力学记录。随机抽取 10%的样本进行交叉检查,以确保事件分类的准确性。为了从数据中提取显著的压力峰值,我们编写了一个能够检测初始静息压力并根据需要更新它的算法。显著的压力峰值定义为与静息压力值相差 10cmH2O 或更多的压力峰值。在描述事件时,我们查阅了标准来源以获取已发表的定义。为每个事件选择的图像是典型示例,但不代表示例之间可能发生的变化。在这项研究中使用的文件中的患者患有各种下尿路疾病,因此他们可能涵盖了所有常见或重要的尿动力压力事件。

结果

总共确定了 10355 个压力事件,并将其分类为 19 个不同类别。对于每个类别,都包括描述、示例图像和补救措施。对于没有已发表定义的类别,我们提出了新的定义。

结论

本研究纳入了所有常见或重要的尿动力压力事件,并首次在一篇文章中对这些事件的描述进行了总结。

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