Assessing Quality of Life using the Oral Health Impact Profile (OHIP-14) in Subjects with and without Orthodontic Treatment need in Chennai, Tamil Nadu, India

Mary, A Vinita; Mahendra, Jaideep; John, Joseph; Moses, Joyson; Ebenezar, A V Rajesh; Kesavan, R

doi:10.7860/jcdr/2017/27309.10442

Cited by 22 publications

(26 citation statements)

References 26 publications

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“…Similarly, the study provides that the psychosocial behavior of the individuals gets impacted by the tooth loss and untreated decay, reducing the self-esteem of an individual 11. The mean scores of Group I subjects were lower than that of Group II subjects for all the aspects of QoL and the total scores; although, there was no statistically significant difference between the 2 groups 12. The difference in the financial QoL was dependent on the special type of diet which was taken following the procedure.…”

Section: Discussionmentioning

confidence: 87%

Effect of immediate versus delayed loadings of dental implants on the oral health-related quality of life in Saudi population

Bahammam

Fareed

2019

SMJ

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Objectives: To assess the effects of immediate and delayed loadings of dental implants on the overall quality of life (QoL) of patients. Methods: The prospective analysis was conducted in the Department of Periodontology Clinics, Faculty of Dentistry Hospital, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia. The study was conducted from November 2013 to August 2016 and was according to the principles of the Helsinki Declaration. Quality of life in 24 patients (10 males and 14 females), aged between 18-60 years were assessed. Among the patients, 8 were opted for immediate implant loading (Group I), while 16 have opted for delayed implant loading (Group II). The quality of life was analyzed using a QoL assessment scale before and after the implant loading. Results: Overall assessment revealed that the QoL among the patients immediately after loading of dental implant (Group I) was better as compared to the delayed loading of dental implant (Group II). The differences of functional and financial aspects were significant between both groups. The majority of the immediate implant’s loadings have been performed in the anterior aesthetic zone and has a significant impact on the QoL. Conclusion: The results concluded that immediate loading of dental implant is better than the delayed loading of a dental implant with a prosthesis.

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Section: Discussionmentioning

confidence: 87%

Effect of immediate versus delayed loadings of dental implants on the oral health-related quality of life in Saudi population

Bahammam

Fareed

2019

SMJ

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“…Malocclusion is a common disease that impairs occlusal function, increases the incidence of caries, causes psychological discomfort, endangers health and reduces the quality of life 1–3 . An epidemiologic survey in America showed that 57% to 59% of each racial group has at least some degree of orthodontic treatment need 4 .…”

Section: Introductionmentioning

confidence: 99%

Orthodontic Treatment Planning based on Artificial Neural Networks

Kong

Tang

et al. 2019

Sci Rep

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In this study, multilayer perceptron artificial neural networks are used to predict orthodontic treatment plans, including the determination of extraction-nonextraction, extraction patterns, and anchorage patterns. The neural network can output the feasibilities of several applicable treatment plans, offering orthodontists flexibility in making decisions. The neural network models show an accuracy of 94.0% for extraction-nonextraction prediction, with an area under the curve (AUC) of 0.982, a sensitivity of 94.6%, and a specificity of 93.8%. The accuracies of the extraction patterns and anchorage patterns are 84.2% and 92.8%, respectively. The most important features for prediction of the neural networks are “crowding, upper arch” “ANB” and “curve of Spee”. For handling discrete input features with missing data, the average value method has a better complement performance than the k-nearest neighbors (k-NN) method; for handling continuous features with missing data, k-NN performs better than the other methods most of the time. These results indicate that the proposed method based on artificial neural networks can provide good guidance for orthodontic treatment planning for less-experienced orthodontists.

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“…Malocclusion usually impairs the occlusal function causing psychological discomfort which will eventually result in the reduced quality of life. 25 …”

Section: Discussionmentioning

confidence: 99%

Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review

Khanagar

Al-Ehaideb

Vishwanathaiah

et al. 2021

Journal of Dental Sciences

100

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Background/purpose In the recent years artificial intelligence (AI) has revolutionized in the field of dentistry. The aim of this systematic review was to document the scope and performance of the artificial intelligence based models that have been widely used in orthodontic diagnosis, treatment planning, and predicting the prognosis. Materials and methods The literature for this paper was identified and selected by performing a thorough search for articles in the electronic data bases like Pubmed, Medline, Embase, Cochrane, and Google scholar, Scopus and Web of science, Saudi digital library published over the past two decades (January 2000–February 2020). After applying the inclusion and exclusion criteria, 16 articles were read in full and critically analyzed. QUADAS-2 were adapted for quality analysis of the studies included. Results AI technology has been widely applied for identifying cephalometric landmarks, determining need for orthodontic extractions, determining the degree of maturation of the cervical vertebra, predicting the facial attractiveness after orthognathic surgery, predicting the need for orthodontic treatment, and orthodontic treatment planning. Most of these artificial intelligence models are based on either artificial neural networks (ANNs) or convolutional neural networks (CNNs). Conclusion The results from these reported studies are suggesting that these automated systems have performed exceptionally well, with an accuracy and precision similar to the trained examiners. These systems can simplify the tasks and provide results in quick time which can save the dentist time and help the dentist to perform his duties more efficiently. These systems can be of great value in orthodontics.

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Assessing Quality of Life using the Oral Health Impact Profile (OHIP-14) in Subjects with and without Orthodontic Treatment need in Chennai, Tamil Nadu, India

Abstract: Hence, it is stated that there is an urgent need to educate the school children and in turn their parents regarding the malocclusion for its treatment to prevent any effect on quality of life of the young adults.

Cited by 22 publications

References 26 publications

Effect of immediate versus delayed loadings of dental implants on the oral health-related quality of life in Saudi population

Effect of immediate versus delayed loadings of dental implants on the oral health-related quality of life in Saudi population

Orthodontic Treatment Planning based on Artificial Neural Networks

Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review

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