Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway
Abstract Background The purpose of this study was to analyze position-specific morphological changes of the upper airway and to further assess the impact of these changes in difficult airway during intubation. Methods This observational comparative study included two groups (n = 20 patients/group):...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-11-01
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| Series: | BMC Anesthesiology |
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| Online Access: | https://doi.org/10.1186/s12871-022-01880-6 |
| _version_ | 1797984712468201472 |
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| author | Wendong Chen Li Ma Jianlin Shao Chun Bi Yuchen Xie Shuangyan Zhao |
| author_facet | Wendong Chen Li Ma Jianlin Shao Chun Bi Yuchen Xie Shuangyan Zhao |
| author_sort | Wendong Chen |
| collection | DOAJ |
| description | Abstract Background The purpose of this study was to analyze position-specific morphological changes of the upper airway and to further assess the impact of these changes in difficult airway during intubation. Methods This observational comparative study included two groups (n = 20 patients/group): Group A had normal airway and Group B had difficult airway. Data obtained from two-dimensional magnetic resonance imaging were imported to Mimics V20.0 software for processing. We then reconstructed three-dimensional models of upper airway filling in patients in the supine and maximum extension position based on the imaging data. Those models were projected on coronal, sagittal, and horizontal planes to investigate multiple morphological features. We measured the surface area, radial length, and corner angle of the projected areas. Results Group A had larger upper airway filling volumes compared to Group B The volumes for the supine position were 6,323.83 ± 156.06 mm3 for Group A and 5,336.22 ± 316.13 mm3 for Group B (p = 0.003). The volumes the maximum extension position were 9,186.58 ± 512.61 mm3 for Group A and 6,735.46 ± 794.63 mm3 for Group B (p = 0.003). Airway volume increased in the upper airway filling model as the body position varied from the supine to maximum extension position (Group A: volume increase 2,953.75 ± 524.6 mm3, rate of change 31%; Group B: volume increase 1,632.89 ± 662.66 mm3, rate of change 25%; p = 0.052). Conclusion The three-dimensional reconstruction model developed in this study was used to digitally quantify morphological features of a difficult airway and could be used as a novel airway management assessment tool. |
| first_indexed | 2024-04-11T07:06:07Z |
| format | Article |
| id | doaj.art-d2e087d208334d2a80f39a061e9501af |
| institution | Directory Open Access Journal |
| issn | 1471-2253 |
| language | English |
| last_indexed | 2024-04-11T07:06:07Z |
| publishDate | 2022-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Anesthesiology |
| spelling | doaj.art-d2e087d208334d2a80f39a061e9501af2022-12-22T04:38:23ZengBMCBMC Anesthesiology1471-22532022-11-012211910.1186/s12871-022-01880-6Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airwayWendong Chen0Li Ma1Jianlin Shao2Chun Bi3Yuchen Xie4Shuangyan Zhao5Department of Anesthesiology, The First Affiliated Hospital of Kunming Medical UniversityDepartment of Anesthesiology, The First Affiliated Hospital of Kunming Medical UniversityDepartment of Anesthesiology, The First Affiliated Hospital of Kunming Medical UniversityDepartment of Anesthesiology, The First Affiliated Hospital of Kunming Medical UniversityDepartment of Anesthesiology, The First Affiliated Hospital of Kunming Medical UniversityDepartment of Anesthesiology, The First Affiliated Hospital of Kunming Medical UniversityAbstract Background The purpose of this study was to analyze position-specific morphological changes of the upper airway and to further assess the impact of these changes in difficult airway during intubation. Methods This observational comparative study included two groups (n = 20 patients/group): Group A had normal airway and Group B had difficult airway. Data obtained from two-dimensional magnetic resonance imaging were imported to Mimics V20.0 software for processing. We then reconstructed three-dimensional models of upper airway filling in patients in the supine and maximum extension position based on the imaging data. Those models were projected on coronal, sagittal, and horizontal planes to investigate multiple morphological features. We measured the surface area, radial length, and corner angle of the projected areas. Results Group A had larger upper airway filling volumes compared to Group B The volumes for the supine position were 6,323.83 ± 156.06 mm3 for Group A and 5,336.22 ± 316.13 mm3 for Group B (p = 0.003). The volumes the maximum extension position were 9,186.58 ± 512.61 mm3 for Group A and 6,735.46 ± 794.63 mm3 for Group B (p = 0.003). Airway volume increased in the upper airway filling model as the body position varied from the supine to maximum extension position (Group A: volume increase 2,953.75 ± 524.6 mm3, rate of change 31%; Group B: volume increase 1,632.89 ± 662.66 mm3, rate of change 25%; p = 0.052). Conclusion The three-dimensional reconstruction model developed in this study was used to digitally quantify morphological features of a difficult airway and could be used as a novel airway management assessment tool.https://doi.org/10.1186/s12871-022-01880-6Difficult airwayThree-dimensional modelUpper airwayMorphological |
| spellingShingle | Wendong Chen Li Ma Jianlin Shao Chun Bi Yuchen Xie Shuangyan Zhao Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway BMC Anesthesiology Difficult airway Three-dimensional model Upper airway Morphological |
| title | Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway |
| title_full | Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway |
| title_fullStr | Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway |
| title_full_unstemmed | Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway |
| title_short | Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway |
| title_sort | morphological specificity analysis of an image based 3d model of airway filling in a difficult airway |
| topic | Difficult airway Three-dimensional model Upper airway Morphological |
| url | https://doi.org/10.1186/s12871-022-01880-6 |
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