Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway.

Tytuł:
Morphological specificity analysis of an image-based 3D model of airway filling in a difficult airway.
Autorzy:
Chen W; Department of Anesthesiology, The First Affiliated Hospital of Kunming Medical University, No 295 Xichang Road, Wuhua District, Kunming City, Yunnan Province, 650032, People's Republic of China. .
Ma L; Department of Anesthesiology, The First Affiliated Hospital of Kunming Medical University, No 295 Xichang Road, Wuhua District, Kunming City, Yunnan Province, 650032, People's Republic of China.
Shao J; Department of Anesthesiology, The First Affiliated Hospital of Kunming Medical University, No 295 Xichang Road, Wuhua District, Kunming City, Yunnan Province, 650032, People's Republic of China.
Bi C; Department of Anesthesiology, The First Affiliated Hospital of Kunming Medical University, No 295 Xichang Road, Wuhua District, Kunming City, Yunnan Province, 650032, People's Republic of China.
Xie Y; Department of Anesthesiology, The First Affiliated Hospital of Kunming Medical University, No 295 Xichang Road, Wuhua District, Kunming City, Yunnan Province, 650032, People's Republic of China.
Zhao S; Department of Anesthesiology, The First Affiliated Hospital of Kunming Medical University, No 295 Xichang Road, Wuhua District, Kunming City, Yunnan Province, 650032, People's Republic of China.
Źródło:
BMC anesthesiology [BMC Anesthesiol] 2022 Nov 03; Vol. 22 (1), pp. 336. Date of Electronic Publication: 2022 Nov 03.
Typ publikacji:
Observational Study; Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Original Publication: [London] : BioMed Central, 2001-
MeSH Terms:
Imaging, Three-Dimensional*/methods
Respiratory System*
Humans ; Magnetic Resonance Imaging ; Posture
References:
Radiographics. 2017 Sep-Oct;37(5):1424-1450. (PMID: 28800287)
Br J Anaesth. 2015 Dec;115(6):827-48. (PMID: 26556848)
Magn Reson Med. 2014 Apr;71(4):1501-10. (PMID: 23788203)
Rev Esp Anestesiol Reanim (Engl Ed). 2018 Jan;65(1):41-48. (PMID: 29031661)
J Biomech. 2015 Oct 15;48(13):3685-91. (PMID: 26329463)
J Appl Physiol (1985). 2000 Jul;89(1):323-37. (PMID: 10904068)
Anaesthesia. 1984 Nov;39(11):1105-11. (PMID: 6507827)
Br J Anaesth. 1988 Aug;61(2):211-6. (PMID: 3415893)
Am J Orthod Dentofacial Orthop. 2012 Dec;142(6):801-13. (PMID: 23195366)
PLoS One. 2018 Aug 30;13(8):e0203142. (PMID: 30161197)
Anesth Analg. 2004 Dec;99(6):1774-1779. (PMID: 15562070)
Eur J Anaesthesiol. 2008 Sep;25(9):714-20. (PMID: 18471331)
BMJ Open. 2019 Jul 27;9(7):e029782. (PMID: 31352422)
Case Rep Anesthesiol. 2015;2015:453547. (PMID: 25632355)
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:2587-90. (PMID: 17282767)
Anesthesiology. 2013 Dec;119(6):1360-9. (PMID: 24071617)
Anesthesiology. 2019 Oct;131(4):818-829. (PMID: 31584884)
Can Anaesth Soc J. 1985 Jul;32(4):429-34. (PMID: 4027773)
Br J Anaesth. 2011 May;106(5):617-31. (PMID: 21447488)
Anesthesiology. 2022 Jan 1;136(1):31-81. (PMID: 34762729)
Anesthesiology. 2013 Feb;118(2):251-70. (PMID: 23364566)
Eur Radiol. 2015 Oct;25(10):2960-8. (PMID: 25801196)
Contributed Indexing:
Keywords: Difficult airway; Morphological; Three-dimensional model; Upper airway
Entry Date(s):
Date Created: 20221104 Date Completed: 20221107 Latest Revision: 20221222
Update Code:
20240105
PubMed Central ID:
PMC9632020
DOI:
10.1186/s12871-022-01880-6
PMID:
36329383
Czasopismo naukowe
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 mm 3 for Group A and 5,336.22 ± 316.13 mm 3 for Group B (p = 0.003). The volumes the maximum extension position were 9,186.58 ± 512.61 mm 3 for Group A and 6,735.46 ± 794.63 mm 3 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 mm 3 , rate of change 31%; Group B: volume increase 1,632.89 ± 662.66 mm 3 , 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.
(© 2022. The Author(s).)
Zaloguj się, aby uzyskać dostęp do pełnego tekstu.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies