Literature DB >> 31767289

An optimization method for surgical reduction of hypertrophied inferior turbinate.

Huahui Xiong1, Han Cao1, Yaqi Huang2.   

Abstract

Surgical reductions of the hypertrophied inferior turbinate (HIT) can improve nasal obstruction. However, there is currently a lack of personalized and objective methods to guide surgical operations, which results in the excessive or inadequate resection of HIT. In this study, we proposed an optimizing method based on homotopy deformation to determine the resected amount and shape of the tissue by matching the flow resistance in the two nasal passageways. The simulation results obtained using computational fluid dynamics showed that after such an optimization procedure, the most obstructed nasal side could have a similar air flux as the less obstructed side. A 35% and a 56% less tissue resection in the optimizing operation compared to that in the total turbinectomy could well balance the air flow between the two nasal cavities in the simulations for patients 1 and 2 with unilateral nasal obstruction respectively. Compared with the optimization operation, the total turbinectomy made a more aggressive resection of HIT, which could worsen the air conditioning capacity of the nose. A sensitivity test indicated that in the optimization operation, the most constricted region in the nasal cavity should be adequately enlarged. However, more tissue resection than is required for the optimization operation did not improve the flow in the obstructed side strikingly. Simulations of the optimization operation in both nasal cavities for a patient with bilateral nasal obstruction were also performed. The flow rate could reach the normal level and be well balanced in the two sides after such an optimization procedure.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  CFD simulation; Flow rate; Hypertrophied inferior turbinate; Nasal resistance

Mesh:

Year:  2019        PMID: 31767289     DOI: 10.1016/j.jbiomech.2019.109503

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  1 in total

1.  Glass-cutting medical images via a mechanical image segmentation method based on crack propagation.

Authors:  Yaqi Huang; Ge Hu; Changjin Ji; Huahui Xiong
Journal:  Nat Commun       Date:  2020-11-09       Impact factor: 14.919

  1 in total

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