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PMID: 33677758 Published · ppublish English Comparative Study Journal Article

Agreement between rhinomanometry and computed tomography-based computational fluid dynamics.

International journal of computer assisted radiology and surgery ·Vol. 16 ·No. 4 ·2021-04-00 ·页码 629-638

Berger M, Giotakis AI, Pillei M, Mehrle A, Kraxner M, Kral F, Recheis W, Riechelmann H, Freysinger W

Abstract

Active anterior rhinomanometry (AAR) and computed tomography (CT) are standardized methods for the evaluation of nasal obstruction. Recent attempts to correlate AAR with CT-based computational fluid dynamics (CFD) have been controversial. We aimed to investigate this correlation and agreement based on an in-house developed procedure. In a pilot study, we retrospectively examined five subjects scheduled for septoplasty, along with preoperative digital volume tomography and AAR. The simulation was performed with Sailfish CFD, a lattice Boltzmann code. We examined the correlation and agreement of pressure derived from AAR (RhinoPress) and simulation (SimPress) and these of resistance during inspiration by 150 Pa pressure drop derived from AAR (RhinoRes150) and simulation (SimRes150). For investigation of correlation between pressures and between resistances, a univariate analysis of variance and a Pearson's correlation were performed, respectively. For investigation of agreement, the Bland-Altman method was used. The correlation coefficient between RhinoPress and SimPress was r = 0.93 (p < 0.001). RhinoPress was similar to SimPress in the less obstructed nasal side and two times greater than SimPress in the more obstructed nasal side. A moderate correlation was found between RhinoRes150 and SimRes150 (r = 0.65; p = 0.041). The simulation of rhinomanometry pressure by CT-based CFD seems more feasible with the lattice Boltzmann code in the less obstructed nasal side. In the more obstructed nasal side, error rates of up to 100% were encountered. Our results imply that the pressure and resistance derived from CT-based CFD and AAR were similar, yet not same.

Keywords
Agreement analysis Computational fluid dynamics Method comparison Nasal obstruction Rhinomanometry Simulation
MeSH 主题词
Adult Aged Computer Simulation Cone-Beam Computed Tomography/methods Female Humans Hydrodynamics Male Nasal Obstruction/diagnostic imaging,surgery Nasal Septum/diagnostic imaging,surgery Pilot Projects Reproducibility of Results Retrospective Studies Rhinomanometry/methods Rhinoplasty Software Tomography, X-Ray Computed Young Adult
作者与单位
共 9 位作者,点击展开单位 / ORCID
Berger Manuel ORCID
Department of Environmental, Process and Energy Engineering, MCI, The Entrepreneurial School, Innsbruck, Austria. | Department of Otorhinolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Giotakis Aris I ORCID
Department of Otorhinolaryngology, Medical University of Innsbruck, Innsbruck, Austria. [email protected].
Pillei Martin ORCID
Department of Environmental, Process and Energy Engineering, MCI, The Entrepreneurial School, Innsbruck, Austria. | Department of Fluid Mechanics, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.
Mehrle Andreas
Department of Mechatronics, MCI, The Entrepreneurial School, Innsbruck, Austria.
Kraxner Michael
Department of Environmental, Process and Energy Engineering, MCI, The Entrepreneurial School, Innsbruck, Austria.
Kral Florian
Department of Otorhinolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Recheis Wolfgang ORCID
University Hospital of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Riechelmann Herbert ORCID
Department of Otorhinolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Freysinger Wolfgang ORCID
Department of Otorhinolaryngology, Medical University of Innsbruck, Innsbruck, Austria.
Article Info
Journal
International journal of computer assisted radiology and surgery
Abbr.
Int J Comput Assist Radiol Surg
ISSN
1861-6429
Corresponding email
Published
2021-04-00
电子出版
2021-00-07
页码
629-638
Language
English
Country/Region
Germany
NLM ID
101499225
基金资助
Medizinische Universität Innsbruck · D-153110-019-014
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