Three-dimensional evaluation of changes in upper airway volume in growing skeletal Class II patients following mandibular advancement treatment with functional orthopedic appliances

Isidor, Stig; Carlo, Gabriele Di; Cornelis, Marie A.; Isidor, Flemming; Cattaneo, Paolo M.

doi:10.2319/083117-587.1

Cited by 33 publications

(41 citation statements)

References 25 publications

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“…Studies on related topics in various fields have also been gaining more popularity. 3,[11][12][13][14] Although three-dimensional images have gained popularity these days, [15][16][17][18][19] two-dimensional cephalometric analysis is still a vital tool in orthodontic diagnosis and treatment planning since it provides information regarding a patient's skeletal and soft tissue. Currently, computer-assisted cephalometric analysis eliminates human-induced mechanical errors.…”

Section: Discussionmentioning

confidence: 99%

Automated Identification of Cephalometric Landmarks: Part 2- Might It Be Better Than human?

Hwang¹,

Park²,

Moon³

et al. 2019

The Angle Orthodontist

154

112

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Objectives: To compare detection patterns of 80 cephalometric landmarks identified by an automated identification system (AI) based on a recently proposed deep-learning method, the You-Only-Look-Once version 3 (YOLOv3), with those identified by human examiners. Materials and Methods: The YOLOv3 algorithm was implemented with custom modifications and trained on 1028 cephalograms. A total of 80 landmarks comprising two vertical reference points and 46 hard tissue and 32 soft tissue landmarks were identified. On the 283 test images, the same 80 landmarks were identified by AI and human examiners twice. Statistical analyses were conducted to detect whether any significant differences between AI and human examiners existed. Influence of image factors on those differences was also investigated. Results: Upon repeated trials, AI always detected identical positions on each landmark, while the human intraexaminer variability of repeated manual detections demonstrated a detection error of 0.97 ± 1.03 mm. The mean detection error between AI and human was 1.46 ± 2.97 mm. The mean difference between human examiners was 1.50 ± 1.48 mm. In general, comparisons in the detection errors between AI and human examiners were less than 0.9 mm, which did not seem to be clinically significant. Conclusions: AI showed as accurate an identification of cephalometric landmarks as did human examiners. AI might be a viable option for repeatedly identifying multiple cephalometric landmarks.

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Section: Discussionmentioning

confidence: 99%

Automated Identification of Cephalometric Landmarks: Part 2- Might It Be Better Than human?

Hwang¹,

Park²,

Moon³

et al. 2019

The Angle Orthodontist

154

112

View full text Add to dashboard Cite

show abstract

“…The divergence concerning the glossopharyngeal region could be due to the different methodological method of their volumetric measurement in locating the inferior limit of the pharyngeal airway. In addition, Isidor et al (24) , in a retrospective CBCT study, showed significant increase in velopharyngeal and glossopharyngeal airway volume by 855 mm 3 and 1167 mm 3 , respectively. Yet, their lower values could be due to their usageof 2 removable functional appliances for analysis.…”

Section: Discussionmentioning

confidence: 95%

“…The vertical anterior boundary of pharyngeal airway was represented by the line P4 which is perpendicular to FHP and tangent to PNS (Fig. 4) (24,27) . The airway volumetric analysis was performed using the "the airway analysis" module of the software.…”

Section: Pharyngeal Airway Assessmentmentioning

confidence: 99%

“…Nevertheless, these radiographic twodimensional (2D) images do not provide information regarding cross-sectional areas or volumes of the upper airway. The introduction of cone-beam computed tomography (CBCT) has enabled detailed three-dimensional (3D) evaluation of the airway, with the benefit of low radiation dose and shorter scanning time compared to CT and magnetic resonance imaging, respectively (10,23,24) .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Three-Dimensional Evaluation of Pharyngeal Airway Volume Following Treatment of Post-Pubertal Patients with Skeletal Class II Malocclusion via Miniplate-Anchored Herbst Appliance

2020

Al-Azhar Journal of Dental Science

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“…The 3dMD technology has been validated in terms of its accuracy and reliability [14]. The acquired images were loaded to 3dMDVultus editing software (3dMDpatient v.3.0.1, 3dMDVultusTM Software Platform, 3dMD LLC, Atlanta, GA, USA) and exported as 3D surface models [15].…”

Section: Methodsmentioning

confidence: 99%

Lay People Esthetic Evaluation of Primary Surgical Repair on Three-Dimensional Images of Cleft Lip and Palate Patients

et al. 2019

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Background and Objectives: Previous literature has disclosed that facial attractiveness affects the esthetic evaluation of nose and lip deformity on frontal and lateral photographs. However, it has never been debated if the removal of the external facial features on three-dimensional (3D) models (“cropped assessment bias”) could provide a considerable usefulness in the interpretation and comparison of the results. Additionally, it has been assumed on two-dimensional (2D) studies that esthetic assessment biases with respect to observer gender, and it is not acknowledged if and to the extent that “gender assessment bias” may be influenced by a three-dimensional layout. The aim of this study is to investigate if facial traits and observers’ gender may affect the esthetic ratings of unilateral cleft lip and palate (UCLP) patients after soft tissue reconstruction. Materials and Methods: Three-dimensional images of ten UCLP patients’ images were acquired before the intervention (T0), one-month (T1) and six-months (T2) postoperative. Geomagic® software (version 2014; 3D Systems, Rock Hill, SC, USA) was used to remove the external facial features of 3D surface models. Five-point scale developed by Asher-McDade et al. was used to rate both nasolabial attractiveness and impairment for full-face (FF) and cropped-face (CF) 3D images. Forty-three judges (21 males, 22 females) were enrolled for the esthetic evaluation. Intraclass correlation coefficient (ICC) was used to test intra- and inter-examiner reliability; a value of 0.7 was set as the minimum acceptable level of reliability. Results: When comparing the 2 sets of observations (FF and CF), the ICC ranged from 0.654 to 0.823. Concerning gender assessment bias, the ICC ranged from 0.438 to 0.686 and from 0.722 to 0.788 for males and females, respectively. Concerning inter-examiner reliability, ICC for questions 2–7 ranged from 0.448 to 0.644 and from 0.659 to 0.817 at T0 and T2, respectively. Conclusions: The removal of external facial features provides subtle differences on the esthetic assessment of UCLP patients. Moreover, based on our data, examiners’ gender differences may affect esthetic assessment of UCLP patients. Despite the subjectivity of esthetic judgments, a reliable, validated and reproducible scoring protocol should consider the influence of gender differences on 3D esthetic assessment of UCLP patients.

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Three-dimensional evaluation of changes in upper airway volume in growing skeletal Class II patients following mandibular advancement treatment with functional orthopedic appliances

Abstract: An increase in the upper airway volume was found after treatment with functional appliances. This difference was mainly related to the changes at the oropharynx level, which differed significantly from what was observed in the Class I group.

Cited by 33 publications

References 25 publications

Automated Identification of Cephalometric Landmarks: Part 2- Might It Be Better Than human?

Automated Identification of Cephalometric Landmarks: Part 2- Might It Be Better Than human?

Three-Dimensional Evaluation of Pharyngeal Airway Volume Following Treatment of Post-Pubertal Patients with Skeletal Class II Malocclusion via Miniplate-Anchored Herbst Appliance

Lay People Esthetic Evaluation of Primary Surgical Repair on Three-Dimensional Images of Cleft Lip and Palate Patients

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