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PMID: 37902893 Published · ppublish English Journal Article

On the comparison between pre- and post-surgery nasal anatomies via computational fluid dynamics.

Biomechanics and modeling in mechanobiology ·Vol. 23 ·No. 1 ·2024-02-00 ·页码 305-314

Segalerba E, Dini Ciacci G, Quadrio M, Pralits JO

Abstract

Nasal breathing difficulties (NBD) are widespread and difficult to diagnose; the failure rate of their surgical corrections is high. Computational fluid dynamics (CFD) enables diagnosis of NBD and surgery planning, by comparing a pre-operative (pre-op) situation with the outcome of virtual surgery (post-op). An equivalent comparison is involved when considering distinct anatomies in the search for the functionally normal nose. Currently, this comparison is carried out in more than one way, under the implicit assumption that results are unchanged, which reflects our limited understanding of the driver of the respiratory function. The study describes how to set up a meaningful comparison. A pre-op anatomy, derived via segmentation from a CT scan, is compared with a post-op anatomy obtained via virtual surgery. State-of-the-art numerical simulations for a steady inspiration carry out the comparison under three types of global constraints, derived from the field of turbulent flow control: a constant pressure drop (CPG) between external ambient and throat, a constant flow rate (CFR) through the airways and a constant power input (CPI) from the lungs can be enforced. A significant difference in the quantities of interest is observed depending on the type of comparison. Global quantities (flow rate, pressure drop and nasal resistance) as well as local ones are affected. The type of flow forcing affects the outcome of the comparison between pre-op and post-op anatomies. Among the three available options, we argue that CPG is the least adequate. Arguments favouring either CFR or CPI are presented.

Keywords
CFD Constant power input LES Nasal flow Nasal resistance
MeSH 主题词
Hydrodynamics Nose Respiration Tomography, X-Ray Computed Computer Simulation
作者与单位
共 4 位作者,点击展开单位 / ORCID
Segalerba Eric
Department of Civil, Chemical and Environmental Engineering, University of Genova, Via Montallegro, 1, 16145, Genoa, Italy.
Dini Ciacci Gabriele
Department of Aerospace Sciences and Technologies, Politecnico di Milano, Campus Bovisa, 20156, Milano, Italy.
Quadrio Maurizio
Department of Aerospace Sciences and Technologies, Politecnico di Milano, Campus Bovisa, 20156, Milano, Italy. [email protected].
Pralits Jan O
Department of Civil, Chemical and Environmental Engineering, University of Genova, Via Montallegro, 1, 16145, Genoa, Italy. [email protected].
Article Info
Journal
Biomechanics and modeling in mechanobiology
Abbr.
Biomech Model Mechanobiol
ISSN
1617-7940
Published
2024-02-00
电子出版
2023-00-30
页码
305-314
Language
English
Country/Region
Germany
NLM ID
101135325
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