Study and application of a mathematical model for the provisional assessment of areas and nasal resistance, obtained using acoustic rhinometry and active anterior rhinomanometry.

G. Zambetti, M. Moresi, R. Romeo, F. Filiaci
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引用次数: 9

Abstract

Nasal resistance (NR) depends on the geometrical features and tortuosity of the nasal airway and on the air flow. Knowing the longitudinal distribution of cross-sectional areas (CSAs) in the nasal cavity (which can be obtained using acoustic rhinometry) and the laminar nasal resistance (obtainable by processing the rhinomanometric results), it is possible to calculate, utilizing a mathematical model elaborated on the basis of fluid dynamics, the differential nasal resistance (NRdiff) and the cumulative nasal resistance (NRcum), thus localizing the position at which the highest resistance is concentrated and the related longitudinal distribution. Using a mathematical model, we integrated the sigmoid curves DeltaP/Q of rhinomanometry with the cross-sectional areas obtained using acoustic rhinometry, thus obtaining the normal distribution of differential and cumulative nasal resistances. Afterwards, we empirically reduced the cross-sectional areas corresponding to the head, body, tail and the whole inferior turbinate, recalculating the differential and cumulative nasal resistance distribution curves. The results show that reduction of up to 50% of cross-sectional areas does not substantially affect the resistivity role of the nasal valve, while greater reductions move the highest resistivity point to an area at the junction of the body and the head of the inferior turbinate. The study of the differential nasal resistance trend curves as a function of the reduction of cross-sectional areas shows that the resistance variation of the body and the whole inferior turbinate prevail with reductions of up to 40%, while the variation of cross-sectional areas of the body bordering the inferior turbinate head is predominant with higher reductions. The cross-sectional areas of the nasal airway cavity with highest resistivity are mainly located in an anterior position, where the differential nasal resistances are higher, but there are substantial variations produced by reducing the cross-sectional area of the posterior nasal airway. A similar model can produce provisional values for the results obtainable with functional nasal surgery.
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使用声学鼻测量和主动前鼻测量获得的区域和鼻阻力临时评估的数学模型的研究和应用。
鼻阻力(NR)取决于鼻导气管的几何特征和弯曲度以及气流。知道鼻腔横截面积(csa)的纵向分布(可通过声学鼻测量获得)和层流鼻阻力(可通过处理鼻测量结果获得),就可以利用流体动力学基础上阐述的数学模型计算鼻部差阻(NRdiff)和累积鼻阻力(NRcum)。从而确定了最大阻力集中的位置和相关的纵向分布。通过建立数学模型,将鼻压测量的s形曲线DeltaP/Q与声学鼻压测量得到的横截面积进行积分,得到差异鼻阻力和累积鼻阻力的正态分布。然后,我们经验性地缩小了头、身、尾和整个下鼻甲对应的横截面积,重新计算了鼻阻力的差异分布曲线和累积分布曲线。结果表明,减少高达50%的截面积不会实质性影响鼻阀的电阻率作用,而更大的减少将最高电阻率点移动到身体和下鼻甲头部交界处的区域。对鼻阻力随截面积缩小的变化趋势曲线的研究表明,身体和整个下鼻甲的阻力变化占主导地位,减少幅度可达40%,而与下鼻甲头部接壤的身体截面积变化占主导地位,减少幅度较大。电阻率最高的鼻导气管腔截面积主要位于前位,此处鼻阻差较高,但减小后路鼻导气管截面积会产生较大的变化。类似的模型可以为功能性鼻手术的结果提供临时值。
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