Automated deviation and modoling of the pressure-geometry relationship of esophageal body in impedance planimetry studies

Zhiyue Lin, Yinglian Xiao, I. Hirano, P. Kahrilas, J. Pandolfino
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Abstract

This study aimed to develop an automated method to investigate the pressure-geometry relationship of esophageal body in patients with eosinophilic esophagitis (EoE). Esophageal cross-sectional areas (CSAs) and intrabag pressure data were measured in 25 EoE patients with a functional luminal imaging probe (FLIP) and analyzed by a manual reading and by a customized MATLAB program with three functions: minimizing artifacts with a median filter; isolating contraction waves with a nonlinear pulse detector and deriving median values of a minimal pressure segment and corresponding narrowest esophageal CSAs during each distension; and modeling the distensibility of the esophageal body with a polynomial regression technique to derive the distension slope and distension plateau. This regression technique was also applied to manual readings for comparison. Such comparison shows that results of automated method highly correlated with manual reading (R≥0.84) and offered advantages in minimizing the influence of artifacts and inter-observer variability.
阻抗平面测量研究中食道体压力几何关系的自动偏差与建模
本研究旨在建立一种自动化方法来研究嗜酸性粒细胞性食管炎(EoE)患者食管体的压力几何关系。使用功能性腔内成像探头(FLIP)测量25例EoE患者的食管横截面积(csa)和袋内压力数据,并通过手动读数和定制的MATLAB程序进行分析,该程序具有三个功能:使用中值滤波器最小化伪影;用非线性脉冲检测器分离收缩波,计算每次扩张时最小压力段和相应最窄食管csa的中值;并利用多项式回归技术对食管体的膨胀性进行建模,推导出膨胀性斜率和膨胀性平台。这种回归技术也应用于手动读数进行比较。这样的比较表明,自动化方法的结果与人工读数高度相关(R≥0.84),并且在最小化伪影和观察者间变异的影响方面具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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