Treatment effects of two different appliances on pharyngeal airway space in mixed dentition Malay children

Fareen, Nashid; Alam, Mohammad Khursheed; Khamis, Mohd Fadhli; Mokhtar, Norehan

doi:10.1016/j.ijporl.2019.07.008

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…The soft tissue profile is portrayed by chin prominence and thickness; facial profile angle and convexity; nose prominence and nasolabial angle; upper lip length, protrusion, and thickness; lower lip thickness, contour, and relation to the inferior sulcus [3,24,25,[27][28][29]. In our previous studies, craniofacial changes and changes in airway space of these two appliances were compared but detailed comparison of soft tissue changes is focused in this part [30,31]. The mean and standard deviation of pretreatment, posttreatment, and treatment changes values are presented in Tables 1-4.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Soft Tissue Changes Produced by Two Different Appliances on Mixed Dentition Children

Fareen

Alam

Khamis

et al. 2021

BioMed Research International

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Objective. This study was focused on comparing and analyzing the soft tissue changes induced by Reverse Twin-Block (RTB) and Reverse Pull Face Mask (RPFM) in early and late mixed dentition Malay children having Class III malocclusion. Methods. This cross-sectional study includes a total sample of 95 Malay children of both early (8-9 years) and late (10-11 years) mixed dentition stages. The comparison was between 49 samples treated by RTB and 46 samples treated by RPFM. Both pre- and posttreatment changes were assessed with Holdaway’s analysis using the CASSOS software. In each cephalogram, 71 anatomic landmarks were traced. Descriptive and multiple regression analyses were performed for statistical evaluation. Results. Statistically significant changes were noticed in soft tissue facial angle, subnasale to H-line, skeletal profile convexity, upper lip strain, H-line angle, lower lip to H-line, and inferior sulcus to H-line measurements. Gender disparity was noticed in upper lip strain. Other significant changes were influenced by the type of appliance. However, the mean differences were minute to notice clinically. Age difference did not have any effect on the treatment changes. Conclusions. RPFM revealed treatment outcome with more protruded upper lip than RTB.

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Section: Discussionmentioning

confidence: 99%

Comparison of Soft Tissue Changes Produced by Two Different Appliances on Mixed Dentition Children

Fareen

Alam

Khamis

et al. 2021

BioMed Research International

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“…Linear measurements were performed using Image J software (Rasband software, W.S., Image J, National Institutes of Health, Bethesda, MD, http://rsb.info.nih.gov/ij/ ). Many studies have applied McNamara method for assessment of upper airway, which can be divided into nasopharynx (upper pharynx) and oropharynx (lower pharynx) [ 17 – 19 ]. The upper pharyngeal width (UPW) was measured linearly from a point on the posterior wall of the soft palate to the posterior pharyngeal wall where there was the greatest closure of the airway.…”

Section: Methodsmentioning

confidence: 99%

Automated Evaluation of Upper Airway Obstruction Based on Deep Learning

Jeong

Nang

2023

BioMed Research International

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Objectives. This study is aimed at developing a screening tool that could evaluate the upper airway obstruction on lateral cephalograms based on deep learning. Methods. We developed a novel and practical convolutional neural network model to automatically evaluate upper airway obstruction based on ResNet backbone using the lateral cephalogram. A total of 1219 X-ray images were collected for model training and testing. Results. In comparison with VGG16, our model showed a better performance with sensitivity of 0.86, specificity of 0.89, PPV of 0.90, NPV of 0.85, and F1-score of 0.88, respectively. The heat maps of cephalograms showed a deeper understanding of features learned by deep learning model. Conclusion. This study demonstrated that deep learning could learn effective features from cephalograms and automated evaluate upper airway obstruction according to X-ray images. Clinical Relevance. A novel and practical deep convolutional neural network model has been established to relieve dentists’ workload of screening and improve accuracy in upper airway obstruction.

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Treatment effects of two different appliances on pharyngeal airway space in mixed dentition Malay children

Cited by 2 publications

References 24 publications

Comparison of Soft Tissue Changes Produced by Two Different Appliances on Mixed Dentition Children

Comparison of Soft Tissue Changes Produced by Two Different Appliances on Mixed Dentition Children

Automated Evaluation of Upper Airway Obstruction Based on Deep Learning

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