Literature DB >> 24095009

Measuring upper airway volume: accuracy and reliability of Dolphin 3D software compared to manual segmentation in craniosynostosis patients.

Valerie R de Water1, Joan K Saridin2, Frederik Bouw3, Magdalena M Murawska4, Maarten J Koudstaal5.   

Abstract

PURPOSE: To test the accuracy and reliability of Dolphin 3-dimensional (3D) software airway analysis compared with manual segmentation in patients who underwent a Le Fort III osteotomy.
MATERIALS AND METHODS: Computed tomographic scans of 20 patients with syndromic craniosynostosis at Sophia's Children's Hospital (Rotterdam, The Netherlands) were used for airway volume measurements using Dolphin 3D. The same scans had been used for measurement using a manual segmentation method. The results of this previous study were reported in 2010. The manual segmentation measuring result was used as a gold standard. The airway was subdivided into the oropharynx and the nasal passage. A linear mixed effects statistical model was applied.
RESULTS: Dolphin 3D measurements differed from manual segmentation by 9 to 43%, depending on the observer, the time at which the measured scan was acquired (pre- or postoperative), and the airway compartment being measured. The highest accuracy for Dolphin 3D was found for measurements from postoperative scans of the nasal passage.
CONCLUSION: The airway analysis tool of Dolphin 3D is not accurate or reliable enough to use in a Le Fort III osteotomy evaluation. When scanning properties are conditioned and measurements are standardized, accuracy and reliability may increase.
Copyright © 2014 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24095009     DOI: 10.1016/j.joms.2013.07.034

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  6 in total

1.  Novel three-dimensional methods to analyze the morphology of the nasal cavity and pharyngeal airway.

Authors:  Xiaowen Niu; Sivaranjani Madhan; Marie A Cornelis; Paolo M Cattaneo
Journal:  Angle Orthod       Date:  2021-05-01       Impact factor: 2.079

2.  Evaluation of volume changes following lateral window maxillary sinus floor elevation using Minics software.

Authors:  Hanfei Zhang; Huiting Hu; Cong Li; Yingxin Ye; Mingdeng Rong; Yong Yang
Journal:  Ann Transl Med       Date:  2022-09

3.  Dynamic 3-D MR Visualization and Detection of Upper Airway Obstruction During Sleep Using Region-Growing Segmentation.

Authors:  Ahsan Javed; Yoon-Chul Kim; Michael C K Khoo; Sally L Davidson Ward; Krishna S Nayak
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-03       Impact factor: 4.538

4.  A new segmentation algorithm for measuring CBCT images of nasal airway: a pilot study.

Authors:  Chen Zhang; Robin Bruggink; Frank Baan; Ewald Bronkhorst; Thomas Maal; Hong He; Edwin M Ongkosuwito
Journal:  PeerJ       Date:  2019-01-28       Impact factor: 2.984

5.  Does overweight affect the sagittal dimension of the posterior airway space in a non-OSAS population? A case control study.

Authors:  Federico Apolloni; Stefano Fusetti
Journal:  Clin Exp Dent Res       Date:  2020-12-08

6.  How does nonsyndromic craniosynostosis affect on bone width of nasal cavity in children? - Computed tomography study.

Authors:  Katarzyna Gruszczyńska; Wirginia Likus; Magdalena Onyszczuk; Rita Wawruszczak; Kamila Gołdyn; Zbigniew Olczak; Magdalena Machnikowska-Sokołowska; Marek Mandera; Jan Baron
Journal:  PLoS One       Date:  2018-07-13       Impact factor: 3.240

  6 in total

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