Foy Brody H, Kay David
Department of Computer Science, University of Oxford, Oxford, Oxfordshire, United Kingdom.
Department of Computer Science, University of Oxford, Oxford, Oxfordshire, United Kingdom.
Respir Physiol Neurobiol. 2017 Jun;240:61-69. doi: 10.1016/j.resp.2017.02.016. Epub 2017 Mar 12.
Many types of lung disease lead to constriction of airways within the conducting zone, causing increases in airway resistance and ventilation heterogeneity (VH). The multiple-breath washout (MBW) and forced oscillation technique (FOT) are two clinical measures of small airway bronchoconstriction. Within this study computational modelling of the MBW and FOT was applied to the analysis of thousands of bronchoconstriction scenarios in the conducting zone of the lungs. The simulations show that MBW indices primarily respond to the severity of constriction, while FOT indices may be able to distinguish between constrictions at differing airway depths. Following this, we show the potential utility in the joint interpretation of indices from the two tests, providing motivations for future clinical investigations.
多种类型的肺部疾病会导致传导区内气道收缩,从而引起气道阻力增加和通气不均一性(VH)。多次呼吸洗脱(MBW)和强迫振荡技术(FOT)是两种用于检测小气道支气管收缩的临床方法。在本研究中,对MBW和FOT进行了计算建模,并将其应用于分析肺部传导区内数千种支气管收缩情况。模拟结果表明,MBW指标主要反映收缩的严重程度,而FOT指标或许能够区分不同气道深度的收缩情况。在此之后,我们展示了联合解读这两种检测指标的潜在效用,为未来的临床研究提供了依据。