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PMID: 29372235 Published · ppublish English Journal Article

Computational Fluid Dynamics to Evaluate the Effectiveness of Inferior Turbinate Reduction Techniques to Improve Nasal Airflow.

JAMA facial plastic surgery ·Vol. 20 ·No. 4 ·2018-07-01 ·页码 263-270

Lee TS, Goyal P, Li C, Zhao K

Abstract

Inferior turbinate reduction (ITR) is a commonly performed procedure for the treatment of nasal obstruction. Which portion of the inferior turbinates should be surgically addressed to improve nasal airflow has yet to be determined. To use computational fluid dynamics (CFD) analysis to evaluate the airflow changes after reduction along different portions of the inferior turbinate. Computed tomographic scans of 5 patients were selected. Seven CFD models were created for each patient: 1 unaltered and 6 various ITRs, including 3 one-third ITRs (anterior, middle, and posterior one-third); 2 two-thirds ITRs (anterior and posterior two-thirds); and 1 full-length ITR model. Total airflow rate and nasal resistance was obtained through CFD analysis, and regression analysis was performed on the increased nasal volume, locations, and nasal resistance for all 5 patients. Total airflow rate and nasal resistance was obtained through CFD analysis, and regression analysis was performed on the increased nasal volume, locations, and nasal resistance for all 5 patients. Full ITR over the whole length was consistently most effective to improve nasal airflow and resistance for all 5 patients (2 men and 3 women), adjusted for the volume. Regression analysis showed a strong linear (R2≥0.79) relationship between nasal volume changes and nasal airflow. However, the most effective location of partial turbinate reduction was not consistent among patients. Surprisingly, for some patients, posterior ITRs were more effective than anterior ITRs. The site of most effective partial ITR differed from 1 side to the other even in the same individual. The effectiveness of partial ITR and target location likely depends on individual patient anatomy. The fact that full ITRs were consistently most effective and the linear regression between flow and nasal volume changes may indicate that the entire length of the IT has a functional impact on nasal airflow and resistance. NA.

MeSH 主题词
Computer Simulation Humans Hydrodynamics Nasal Obstruction/diagnostic imaging,physiopathology,surgery Tomography, X-Ray Computed Treatment Outcome Turbinates/diagnostic imaging,physiopathology,surgery
作者与单位
共 4 位作者,点击展开单位 / ORCID
Lee Thomas S
Department of Otolaryngology-Head & Neck Surgery, Virginia Commonwealth University, Richmond.
Goyal Parul
Syracuse Otolaryngology, PLLC, Syracuse, New York.
Li Chengyu
Department of Otolaryngology-Head & Neck Surgery, The Ohio State University, Columbus.
Zhao Kai
Department of Otolaryngology-Head & Neck Surgery, The Ohio State University, Columbus.
Article Info
Journal
JAMA facial plastic surgery
Abbr.
JAMA Facial Plast Surg
ISSN
2168-6092
Published
2018-07-01
页码
263-270
Language
English
Country/Region
United States
NLM ID
101589532
基金资助
NIDCD NIH HHS · R01 DC013626 · United States
勘误 / 撤稿关联
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