Objective Computerized Determination of the Minimum Cross-Sectional Area of the Nasal Passage on Computed Tomography
Abstract
Objectives/hypothesis Current methods that measure cross-sectional areas of the nasal passage on computed tomography (CT) do not determine the minimum cross-sectional area that may be an important factor in nasal airway resistance. Objective measurement of the dimensions of the nasal passage may help in the diagnosis, as well as the choice and evaluation of surgical treatment for upper airway insufficiencies. Study design Retrospective and clinical study. Methods Software was developed that automatically calculates the minimum cross-sectional area of the nasal passage on CT. Results Evaluation shows that the minimization algorithm in the software reliably calculates the position and orientation of the oblique plane on which the minimum cross-section lies. Conclusion The developed method may be used for objective and observer-independent evaluation of surgical treatment options.
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Computational analysis of nasal fluid dynamics from simulations on computed tomography is expensive and still not widely used.
“Other permeability assessment techniques, such as computational analysis of nasal fluid dynamics from simulations on computed tomography, are expensive and still not widely used [79,80].”
From Position Paper on Nasal Obstruction: Evaluation and Treatment (2018) · cites this paper as [79]
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- Authors
- Bakker, N. H., Lohuis, P. J. F. M., Menger, D. J., Trenit??, G. J. N., Fokkens, W. J., & Grimbergen, C. A.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- Corresponding author
- Lohuis, Peter J. F. M.
- Venue
- The Laryngoscope
- Publisher
- Wiley
- Published
- 2005-10
- Volume
- 115
- Issue
- 10
- Pages
- 1809-1812
- ISSN
- 0023-852X (ISSN-L)
- OpenAlex
- W2133859439
- Cited by
- 18
- References
- 9
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 1 · 2018: 2 · 2016: 1 · 2015: 2 · 2014: 1
- FWCI
- 1.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Laryngoscope (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Health Sciences › Medicine › Surgery › Nasal Surgery and Airway Studies
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Keywords
- nasal passages, minimum cross-sectional area, nasal resistance, computed tomography, automated measurement software, upper airway obstruction, minimization algorithms
- MeSH terms
- Algorithms, Body Weights and Measures, Humans, Image Processing, Computer-Assisted, Nose, Paranasal Sinus Diseases, Retrospective Studies, Software, Tomography, X-Ray Computed, Anatomy, Cross-Sectional
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