Measuring Upper Airway Volume: Accuracy and Reliability of Dolphin 3D Software Compared to Manual Segmentation in Craniosynostosis Patients

Water, Valerie R. De; Saridin, Joan; Bouw, Frederik; Murawska, Magdalena M.; Koudstaal, Maarten J.

doi:10.1016/j.joms.2013.07.034

Cited by 28 publications

(15 citation statements)

References 11 publications

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“…Contrary to our results, the distribution or localization of the differences in volume were not elucidated by El and Palomo, who found them statistically significant, leading the authors to conclude "poor accuracy" and suggest systematic errors of the tested software products. De Water et al 4 reported greater differences in volumetric measurements (9%-43%) between Dolphin 3D software and manual segmentation. In their study, the nasal and pharyngeal airways of 20 craniosynostosis subjects were assessed before and after LeFort III osteotomy using CT.…”

Section: Discussionmentioning

confidence: 98%

“…Segmentation of the nasal cavity using commercial dental software yielded unacceptable results compared with the standard method of manual segmentation. 4 In the ear, nose, and throat literature, segmentation of the nasal cavity is addressed using different semiautomatic methods; although these were found to be accurate compared with manual segmentation, they were not time efficient (up to 3.5 hours to segment 1 airway). 5,6 Moreover, commercial products have not been adequately tested for accuracy.…”

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confidence: 99%

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New algorithm for semiautomatic segmentation of nasal cavity and pharyngeal airway in comparison with manual segmentation using cone-beam computed tomography

Alsufyani

Hess

Noga

et al. 2016

American Journal of Orthodontics and Dentofacial Orthopedics

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Section: Discussionmentioning

confidence: 98%

mentioning

confidence: 99%

New algorithm for semiautomatic segmentation of nasal cavity and pharyngeal airway in comparison with manual segmentation using cone-beam computed tomography

Alsufyani

Hess

Noga

et al. 2016

American Journal of Orthodontics and Dentofacial Orthopedics

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“…Craniosynostosis or premature atresia of cranial sutures is a developmental disorder classified among the so-called bony face deformations [ 19 ]. It may occur as an isolated form (nonsyndromic) or as a part of congenital craniofacial syndromes [ 9 , 11 , 20 , 21 ].…”

Section: Discussionmentioning

confidence: 99%

“…A significant increase of CI was achieved without an adjunctive helmet treatment [ 17 ]. Water et al [ 19 ] measured the upper airway volume using Dolphin 3D Software and found a significant increase in airway volume in patients with craniosynostosis after Le Fort III osteotomy. The airway was divided into the oropharynx (compartment A) and the nasal passage (compartment B).…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2018

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Craniosynostosis is caused by premature fusion of one or more cranial sutures, restricting skull, brain and face growth. Nonsyndromic craniosynostosis could disturb the proportions of face. Although morphometric diameters of nasal cavity in healthy children are already known, they have not been established yet in children with nonsyndromic craniosynostosis. The aim our study was to check whether diameters of bone structures of nasal cavity in children with nonsyndromic craniosynostosis measured in CT are within normal range. 249 children aged 0–36 months (96 with clinical diagnosis of nonsyndromic craniosynostosis and 153 in control group) were included into the study. The following diameters were measured on head CT scans: anterior bony width (ABW), bony choanal aperture width (BCAW), right and left posterior bony width (between bone sidewall and nasal cavity septum—RPBW and LPBW). The study group has been divided into 4 categories, depending on child’s age. The dimensions measured between bone structures of nasal cavity were statistically significantly lower in comparison to the control group. They did not depend on the sex for ABW, nor on age in groups 7–12 months and < 2 years for BCAW, RPBW and LPBW. The measured dimensions increased with age. In children with nonsyndromic craniosynostosis the diameter of pyriform aperture and bony choanal aperture were lower than in controls, what may be described as fronto-orbital anomalies. Morphometric measurements of anthropometric indicators on CT scans could be used as standards in the clinical identification of craniosynostosis type and may help in planning surgical procedures, particularly in the facial skeleton in children.

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“…3D static CT images of the upper airway were segmented for volumetric analysis using level-set based deformable models [17] and region growing algorithm [18][19]. In [3][20] static 3D T2-weighted MR images, were segmented using a fuzzy connectedness-based algorithm that required 4 min/study.…”

Section: Introductionmentioning

confidence: 99%

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

Javed

Kim

Khoo

et al. 2016

IEEE Trans. Biomed. Eng.

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Goal We demonstrate a novel and robust approach for visualization of upper airway dynamics and detection of obstructive events from dynamic 3D magnetic resonance imaging (MRI) scans of the pharyngeal airway. Methods This approach uses 3D region growing, where the operator selects a region of interest that includes the pharyngeal airway, places two seeds in the patent airway, and determines a threshold for the first frame. Results This approach required 5 sec/frame of CPU time compared to 10 min/frame of operator time for manual segmentation. It compared well with manual segmentation, resulting in Dice Coefficients of 0.84 to 0.94, whereas the Dice Coefficients for two manual segmentations by the same observer were 0.89 to 0.97. It was also able to automatically detect 83% of collapse events. Conclusion Use of this simple semi-automated segmentation approach improves the workflow of novel dynamic MRI studies of the pharyngeal airway and enables visualization and detection of obstructive events. Significance Obstructive sleep apnea is a significant public health issue affecting 4-9% of adults and 2% of children. Recently, 3D dynamic MRI of the upper airway has been demonstrated during natural sleep, with sufficient spatio-temporal resolution to non-invasively study patterns of airway obstruction in young adults with OSA. This work makes it practical to analyze these long scans and visualize important factors in an MRI sleep study, such as the time, site, and extent of airway collapse.

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Measuring Upper Airway Volume: Accuracy and Reliability of Dolphin 3D Software Compared to Manual Segmentation in Craniosynostosis Patients

Cited by 28 publications

References 11 publications

New algorithm for semiautomatic segmentation of nasal cavity and pharyngeal airway in comparison with manual segmentation using cone-beam computed tomography

New algorithm for semiautomatic segmentation of nasal cavity and pharyngeal airway in comparison with manual segmentation using cone-beam computed tomography

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

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

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