Assessment of occlusion with the T-Scan system in patients undergoing orthognathic surgery

Agbaje, Jimoh Olubanwo; Casteele, Elke Van de; Salem, A. Z. M.; Anumendem, Dickson; Shaheen, Eman; Sun, Yi; Politis, Constantinus

doi:10.1038/s41598-017-05788-x

Cited by 52 publications

(35 citation statements)

References 27 publications

(20 reference statements)

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“…In fact, should be important to assess if military pilots could present job-related adaptations of the stomatognathic apparatus performing an accurate analysis of dental occlusion of these subjects. T-scan system (T-Scan III, Tekscan Inc. Boston, MA, USA with T-Scan HD sensor) is one of the most precise 15,16 and commonly used computerized analyzing systems to objectively assess dental occlusion status and the masticatory activity in a dynamic perspective 17–21 . The system records relative force values and objectively quantifies dynamic occlusal relationships by displaying numerical values for occlusion and disclusion times 20 .…”

Section: Introductionmentioning

confidence: 99%

Occlusion time analysis in military pilots affected by bruxism

Nota

Tecco

Cioffi³

et al. 2019

Sci Rep

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Military pilots are characterized by peculiar job conditions related to intense accelerative stresses. For this, they frequently report work-related neck and back pain and are affected by bruxism. The aim of this case-control study is to analyze the occlusion time (OT) in a sample of military pilots affected by bruxism, compared with healthy non-pilot subjects. 14 military pilots, all males (mean age 35.14 ± 2.32 y), affected by bruxism, were compared with an age matched control group of 14 male subjects (mean age 32.29 ± 4.84 y). The T-Scan computerized occlusal analysis system (Tek-Scan Inc., Boston, MA, USA) was used to record the subjects’ occlusion times during 4 mandibular opening-closing movements. Military pilots affected by bruxism showed a statistically significant lower (reduced of 85%) mean OT, compared with control subjects (p < 0.0001). Military pilots are characterized by a highly reduced occlusion time compared to healthy non-pilot subjects. This feature could not be only related with the presence of bruxism but with their particular clinical job-related condition that causes different dental and stomatognathic system problems. Further studies are encouraged to enhance the scientific knowledge in this field.

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Section: Introductionmentioning

confidence: 99%

Occlusion time analysis in military pilots affected by bruxism

Nota

Tecco

Cioffi³

et al. 2019

Sci Rep

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“…It is a digital occlusion analysis system that measures tooth contact, force, and timing and then records them. It uses a thin, flexible, pressure-sensitive bite transducer implanted in a dental-arch-shaped recording sensor [37].…”

Section: Precise Physiological Reinstation Of Occlusionmentioning

confidence: 99%

“…Social properties and attributions of robots Internet of Things (IoT) Dhelim et al [25] Patient management and treatment plans Practice intelligence platform, computer vision software Hellopearl [28] AI training with radiographic data of common pathologies AI-empowered radiograph diagnostic Hellopearl [28] Denti [29] Oral-cancer-screening device Visual enhanced lesion (VEL) scope Dentistry iQ [30] Dental caries diagnostics DIAGOdent laser system Dentistry iQ [30] Dental fear, dental anxiety, dentist phobia, odontophobia, or dentophobia Air abrasion Gentle Dental [34] Precise physiological reinstation of occlusion Functioning masticatory system Agbaje et al [37] Intraoral scanner Planmeca Emerald…”

Section: Application Technology Authormentioning

confidence: 99%

Shaping the Future of Smart Dentistry: From Artificial Intelligence (AI) to Intelligence Augmentation (IA)

Hassani

Andi

Ghodsi

et al. 2021

IoT

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Digitization is the emerging process in the current transformation of industry. Understanding the role and socio-economic consequences of digitalization is crucial for the way technology is being deployed in each sector. One of the affected sectors is dentistry. This study highlights the current advances and challenges in integrating and merging artificial intelligence (AI), intelligence augmentation (IA), and machine learning (ML) in dentistry. We conduct a comparative analysis to give an overview of which technology is being currently deployed and what role IA and AI will play in dentistry, as AI plays an assistive role in advancing human capabilities. We find that challenges range from AI finding its way into routine medical practice to qualitative challenges of retrieving adequate data input. Other challenges lie in the yet unanswered questions of liability in how to reduce deployment costs of new technology. Given these challenges, we provide an outlook of how future technology can be deployed in daily-life dentistry and how robots and humans will interact, given the current technology developments. The aim of this paper is to discuss the future of dentistry and whether it is AI or IA conquering the modern dentistry era.

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“…8 Kelompok usia ini dianggap rentan mengalami gangguan sendi temporomandibula. 9 Kelompok usia ini disebut kelompok produktif yang erat kaitannya mengalami stres, emosi dan tingkat kecemasan yang tinggi. 10 Kelompok usia ini lebih banyak terdiri wanita daripada laki-laki.…”

Section: Pembahasanunclassified

<p>Posisi kondilus setelah perawatan ortodontik pada maloklusi kelas II divisi 1 dengan pencabutan premolar</p><p>Condylar position after orthodontic treatment in class II division 1 malocclusion with premolar extraction</p>

et al. 2021

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Pendahuluan: Maloklusi kelas II divisi 1 dilaporkan seringkali memicu terjadinya gangguan sendi temporomandibula. Posisi kondilus mengalami perubahan pada akhir perawatan ortodontik dengan pencabutan premolar pada maloklusi kelas II divisi 1. Tujuan penelitian menganalisis posisi kondilus pada akhir perawatan ortodontik supaya dapat memberikan pelayanan yang efektif dan komprehensif kepada pasien. Metode: Jenis penelitian deskriptif observasional dengan desain kohort dilakukan pada Klinik Spesialis RSKGM FKG UI dari Maret sampai Mei 2019. Subjek sebanyak 30 orang mengalami maloklusi kelas II divisi 1 yang memiliki gejala gangguan temporomandibular yang memenuhi kriteria inklusi. Metode sampling yang digunakan adalah sampling konsekutif. Foto transkranial dibandingkan dan diukur ruang sendinya bagian anterior, posterior dan superior dan dianalisis menggunakan uji Mc Nemar. Hasil: Sebelum dan sesudah perawatan ortodontik, posisi kondilus kanan dan kiri tidak mengalami perubahan yang signifikan (p>0,05). Sebelum dan sesudah perawatan ortodontik, AJS (Anterior Joint Space), PJS (Posterior Joint Space), SS (Superior Space) kanan dan kiri tidak mengalami perubahan yang signifikan (p>0,05). Gejala gangguan sendi temporomandibula pada akhir perawatan ortodontik adalah kliking dan krepitasi dilaporkan masih ada sedangkan gejala tidak nyaman dan keterbatasan membuka mulut dilaporkan sudah hilang. Simpulan: Tidak terdapat perbedaan posisi kondilus kanan dan kiri, sebelum dan sesudah perawatan ortodontik dengan pencabutan premolar pada maloklusi kelas II divisi 1. Keluhan gangguan sendi temporomandibular tidak ditemukan lagi pada akhir perawatan ortodontik.Kata kunci: Posisi kondilus, perawatan ortodontik, maloklusi kelas II divisi 1, pencabutan premolar. ABSTRACTIntroduction: Class II division 1 malocclusion is reported to trigger temporomandibular joint disorders often. The position of the condyles changed at the end of orthodontic treatment with premolar removal in class II division 1 malocclusion. This study aimed to analyse the position of the condyles at the end of orthodontic treatment to provide effective and comprehensive services to patients. Methods: This type of descriptive observational study with a cohort design was conducted at the Specialist Clinic of University of Indonesia Dental Hospital from March to May 2019. Thirty subjects experienced class II division 1 malocclusion who had temporomandibular disorders that met the inclusion criteria. The sampling method used was consecutive sampling. Transcranial radiographs were compared, and anterior, posterior and superior joint spaces were measured and analysed using the McNemar test. Results: Before and after orthodontic treatment, the position of the right and left condyles did not change significantly (p>0.05). Before and after orthodontic treatment, AJS (Anterior Joint Space), PJS (Posterior Joint Space), SS (Superior Space) right and left did not change significantly (p>0.05). Symptoms of temporomandibular joint disorder at the end of orthodontic treatment were clicking, and crepitus was reported to be present, while the symptoms of discomfort and limited opening of the mouth were reported to have disappeared. Conclusion: There is no difference in the position of the right and left condyles before and after orthodontic treatment with premolar extraction in class II division 1 malocclusion. Complaints of temporomandibular joint disorders were not found again at the end of orthodontic treatment. Keywords: Condyle position, orthodontic treatment, class II division 1 malocclusion, premolar extraction.

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Assessment of occlusion with the T-Scan system in patients undergoing orthognathic surgery

Cited by 52 publications

References 27 publications

Occlusion time analysis in military pilots affected by bruxism

Occlusion time analysis in military pilots affected by bruxism

Shaping the Future of Smart Dentistry: From Artificial Intelligence (AI) to Intelligence Augmentation (IA)

<p>Posisi kondilus setelah perawatan ortodontik pada maloklusi kelas II divisi 1 dengan pencabutan premolar</p><p>Condylar position after orthodontic treatment in class II division 1 malocclusion with premolar extraction</p>

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