Classification of high-resolution manometry data according to videofluoroscopic parameters using pattern recognition.
Classification of high-resolution manometry data according to videofluoroscopic parameters using pattern recognition.
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DOI：
10.1177/0194599813489506
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发表时间：
2013-07
期刊：
影响因子：
--
通讯作者：
McCulloch TM
中科院分区：
文献类型：
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作者：
Hoffman MR;Jones CA;Geng Z;Abelhalim SM;Walczak CC;Mitchell AR;Jiang JJ;McCulloch TM
确定应用于咽部吞咽的高分辨率测压（HRM）时空图的模式识别技术是否可以识别改良钡剂吞咽损伤特征（MBSImp）报告的吞咽障碍特征。评估数据分析新方法的病例系列。大学医院。对30例吞咽困难受试者（335次吞咽）同时进行HRM和视频透视检查。根据MBSImp指南对视频透视研究进行评分，同时使用新程序分析HRM图。使用多层感知器人工神经网络（ANN）进行模式识别，以确定是否可以单独从HRM图中识别MBSImp的7个咽部组件以及渗透/抽吸状态。还进行了受试者工作特征（ROC）分析。MBSImp参数被正确识别为正常或紊乱，平均比率约为91%（ROC曲线下面积范围为0.902至0.981）。结合两个MBSIMP参数的分类导致分类准确率超过93%（ROC曲线下的面积范围为0.963至0.989）。结合HRM时空图的多参数定量分析的模式识别可用于识别目前使用视频荧光透视评估的吞咽异常。HRM能够在床旁提供定量的功能数据，同时避免辐射暴露，这使得HRM成为一种有吸引力的工具，可以补充，有时甚至取代传统的视频透视检查。
To determine if pattern recognition techniques applied to high-resolution manometry (HRM) spatiotemporal plots of the pharyngeal swallow can identify features of disordered swallowing reported on the Modified Barium Swallow Impairment Profile (MBSImP). Case series evaluating new method of data analysis. University hospital. Simultaneous HRM and videofluoroscopy was performed on 30 subjects (335 swallows) with dysphagia. Videofluoroscopic studies were scored according to the MBSImP guidelines while HRM plots were analyzed using a novel program. Pattern recognition using a multilayer perceptron artificial neural network (ANN) was performed to determine if seven pharyngeal components of the MBSImP as well as penetration/aspiration status could be identified from the HRM plot alone. Receiver operating characteristic (ROC) analysis was also performed. MBSImP parameters were identified correctly as normal or disordered at an average rate of approximately 91% (area under the ROC curve ranged from 0.902 to 0.981). Classifications incorporating two MBSImP parameters resulted in classification accuracies over 93% (area under the ROC curve ranged from 0.963 to 0.989). Pattern recognition coupled with multiparameter quantitative analysis of HRM spatiotemporal plots can be used to identify swallowing abnormalities which are currently assessed using videofluoroscopy. The ability to provide quantitative, functional data at the bedside while avoiding radiation exposure make HRM an appealing tool to supplement and, at times, replace traditional videofluoroscopic studies.