scholarly journals Dental Plaque Removal by Ultrasonic Toothbrushes

2020 ◽  
Vol 8 (1) ◽  
pp. 28
Author(s):  
Ilya Digel ◽  
Inna Kern ◽  
Eva Maria Geenen ◽  
Nuraly Akimbekov

With the variety of toothbrushes on the market, the question arises, which toothbrush is best suited to maintain oral health? This thematic review focuses first on plaque formation mechanisms and then on the plaque removal effectiveness of ultrasonic toothbrushes and their potential in preventing oral diseases like periodontitis, gingivitis, and caries. We overviewed the physical effects that occurred during brushing and tried to address the question of whether ultrasonic toothbrushes effectively reduced the microbial burden by increasing the hydrodynamic forces. The results of published studies show that electric toothbrushes, which combine ultrasonic and sonic (or acoustic and mechanic) actions, may have the most promising effect on good oral health. Existing ultrasonic/sonic toothbrush models do not significantly differ regarding the removal of dental biofilm and the reduction of gingival inflammation compared with other electrically powered toothbrushes, whereas the manual toothbrushes show a lower effectiveness.

2021 ◽  
Vol 11 (7) ◽  
pp. 3008
Author(s):  
Gabriela Ciavoi ◽  
Luciana Dobjanschi ◽  
Tunde Jurca ◽  
Gyongyi Osser ◽  
Ioana Scrobota ◽  
...  

Mouthrinse solutions represent a group of products used for maintaining oral hygiene after tooth brushing. Substances contained by plants bring benefits for the whole mouth health. The purpose of this study was to comparatively evaluate the effectiveness of a commercial mouthwash and of an herbal infusion on dental plaque formation and gingival inflammation. The participants in the study (90 patients) were divided into two groups, the CM group, which rinsed with a commercial fluoride-containing mouthwash and the IM group, which used an herbal infusion. The Silness–Loe plaque index (PI) and the Loe–Silness gingival index (GI) were assessed at baseline and in three following monitoring sessions. Both mouthwashes used had good results in reducing plaque index and gingival index values. In all monitoring sessions, the average PI value calculated in the CM group was relatively lower than in the IM group, probably because of the fluoride contained in the commercial mouthwash. The average GI value calculated in the CM group was slightly higher in showing gingival inflammation than that of the IM group, therefore the IM group had a better average result than the CM group in GI value. Herbal mouthwashes are adequate to induce proper oral prevention through the preservation of good oral health.


Author(s):  
Asma Gasmi Benahmed ◽  
Amin Gasmi ◽  
Maryam Dadar ◽  
Maria Arshad ◽  
Geir Bjørklund

2020 ◽  
Vol 11 (1) ◽  
pp. 22-25
Author(s):  
Nucharee Juntarachot ◽  
Bhagavathi Sundaram Sivamaruthi ◽  
Sasithorn Sirilun ◽  
Piyachat Tongpong ◽  
Phakkharawat Sittiprapaporn ◽  
...  

Background: Dextran is a branched polysaccharide and one of the polymers, present in the biofilm matrix. The dextran plays a perilous role in dental plaque formation, which is involved in the development of some common oral diseases like dental caries. The dextran-hydrolyzing enzymes are under investigation to treat and manage the dental plaques. Aims and Objective: The present study reporting the preliminary observations on the effect of the use of dextranase-containing mouthwash (DMW) on dental plaque and oral health. Materials and Methods: DMW was prepared with food-grade dextranase, preservatives, gellingagents, and water as detailed. Four weeks of experimental design was employed in fourteen healthy volunteers. The selected volunteers were recommended to use DMW for at least twice a day. The plaque index (PI), probing depth (PD), gingival index (GI) and bleeding on probing (BOP) of the volunteer's teeth have been assessed before and after four weeks of DMW use. Results:The volunteers were insisted to use a DMW solution twice a day for four weeks. The PI, PD, GI, and BOP was measured before and after the treatment. The plaque index of the subject at baseline and after treatment was 2.22 ± 0.48, and 1.88 ± 0.50, respectively. PI was significantly reduced after the use of DMW solution for four weeks. The value of PD was 2.00 and 2.00 at baseline and after the use of DMW, respectively. The value of PD was not changed when compared to the baseline values. The sensory evaluation of DMW was performed using questionnaires. Conclusion: The preliminary study results suggested that the use of DMW solution for four weeks (twice a day) notably reduced the PI without any change in PD. However, GI and BOP values were not affected after the use of DMW. The participants, based on the sensory evaluation, accepted the prepared DMW solution. Additional detailed research on the impact of DMW on oral hygiene is needed to confirm the beneficial effects of DMW.


Oral Diseases ◽  
2019 ◽  
Author(s):  
Samantha Simoni Santi ◽  
Maísa Casarin ◽  
Alessandra Pascotini Grellmann ◽  
Leandro Chambrone ◽  
Fabricio Batistin Zanatta

2016 ◽  
Vol 12 (2) ◽  
pp. 2-10
Author(s):  
С. Григорьев ◽  
S. Grigoryev ◽  
А. Козьменко ◽  
A. Kozmenko

<p class="p1"><span class="s1">The article presents the effectiveness study results of the foam «Oral Care Foam 2 in 1» with the aim of moisturizing the mucous tunic of the mouth and preventing oral diseases for patients with xerostomia caused by medication taking. The clinical trial was conducted at the premises of the Dental Therapy Department of the Ural State Medical University. There was analyzed thedata on 60 patients having the signs of a dry mouth, having bacterial test provenoral moniliosis. On the basis of the study ndings one can conclude that usingthe foam «Oral Care Foam 2 in 1» regularly improves the quality of oral hygiene care, slows down the process of dental plaque formation and growth in patients with xerostomia caused by medication taking; causes no irritation and can be used for moisturizing purposes. </span></p>


2020 ◽  
Vol 1 (1) ◽  
pp. 17-24
Author(s):  
Karin Tika Fitria ◽  
Naning Nur Handayatun

ABSTRAKLatar Belakang: Eliminasi plak yang merupakan etiologi utama penyakit gigi karies dan periodontal menjadi kunci pencegahan penyakit gigi dan mulut. Penggunaan sumba yang sebelumnya telah terbukti dapat mendeteksi plak merupakan bahan yang mudah dijangkau oleh berbagai kalangan masyarakat. Kegiatan Pengabdian masyarakat ini bertujuan untuk meningkatkan keterampilan menyikat gigi dengan penggunaan sumba sebagai bahan untuk visualisasi plak gigiMetode: Kegiatan pengabdian masyarakat dilakukan pada murid kelas 5 SDN 33/IV Penyengat Olak Kabupaten Muaro Jambi. Kegiatan diawali dengan penyuluhan kesehatan gigi dan mulut, demonstrasi dan praktik pembuatan disclosing solution atau plak detector dari sumba. Bimbingan menyikat gigi secara personal serta lomba gigi bersih sebagai positive reinforcementHasil: Peningkatan pengetahuan sebanyak 100% pada anak yang diberikan penyuluhan dan demonstrasi penggunaan sumba sebagai plak detector. Perbedaan bermakna skor plak (p=0,000) terlihat antrara sebelum dan sesudah penyuluhan, demonstrasi, praktik penggunaan sumba dan bimbingan menyikat gigiKesimpulan: Terjadi peningkatan pengetahuan dan peningkatan nilai skor plak setelah pemberian penyuluhan, demonstrasi, praktik pengunaan sumba serta bimbingan menyikat gigi pada anak ABSTRACTIntroduction: Elimination of plaque, as the main etiology of caries and periodontal disease, is the key to preventing dental and oral diseases. The use of sumba, which has previously been proven to be able to detect plaque, is a material that is easily accessible by various groups of people. This community service activity aims to improve tooth brushing skills by using sumba to visualisize the dental plaque.Methods: Community service activities were carried out on 5th grade students of SDN 33 / IV Penyengat Olak, Muaro Jambi Regency. The activity began with dental and oral health education, demonstration and practice of making disclosing solutions or plaque detectors from Sumba. Guidance on personal brushing and clean teeth competitions as positive reinforcementResults: 100% increase in knowledge in children who were given counseling and demonstrations on the use of Sumba to visualize the dental plaque. Significant differences in plaque scores (p = 0.000) were seen between before and after counseling, demonstrations, practice of using Sumba and guidance on brushing teeth.Conclusion: There was an increase in knowledge and an increase in the value of plaque scores after counseling, demonstrations, the practice of using Sumba and guidance on brushing teeth in children.


2020 ◽  
Author(s):  
Wenzhe You ◽  
Aimin Hao ◽  
Shuai Li ◽  
Yong Wang ◽  
Bin Xia

Abstract Background: Dental plaque is the cause of many common oral diseases (e.g., caries, gingivitis, and periodontitis). Therefore, the detection and control of dental plaque are of great significance to children’s oral health. The objectives of this study are to design an artificial intelligence (AI) model based on deep learning to detect dental plaque on primary teeth and evaluate the diagnostic accuracy of the AI model. Methods : A convolutional neural network (CNN) framework was adopted, and a total of 886 photos of primary teeth taken by an intraoral camera (1280*960 pixels; TPC Ligang, Shenzhen, China) were used for training the AI model. To validate the clinical feasibility, 98 photos of primary teeth taken by the intraoral camera were assessed by the AI model. Additionally, teeth photos were taken with a digital camera (3216*2136 pixels, Canon EOS 60D, Japan). One experienced pediatric dentist looked at these photos and drew the region of dental plaque on them. Then, a plaque-disclosing agent was applied, and the areas of dental plaque were identified. The mean intersection-over-union (MIoU) was employed to indicate the detection accuracy. Results : Compared to that of the dentist, the AI model demonstrated a higher MIoU (0.6947 vs 0.7364). However, the 2 modalities yielded no significant difference in diagnosing dental plaque on primary teeth (P > .05). Conclusions : The AI model showed clinically acceptable performance in detecting dental plaque on primary teeth compared with the experienced pediatric dentist. This finding illustrates the potential application in adopting such AI technology in helping children improve their oral health.


2017 ◽  
Vol 45 (5) ◽  
pp. 1585-1596 ◽  
Author(s):  
Prem K. Sreenivasan ◽  
Kakarla V.V. Prasad

Objective The natural accumulation of supragingival plaque on surfaces of human teeth is associated with gingival inflammation and the initiation of common oral diseases. This study evaluated the distribution of dental plaque and gingivitis scores within the dental arches after prophylaxis. Methods Adult subjects from the Dharwad, India area representing the general population who provided written informed consent were scheduled for screening. Healthy subjects over the age of 18 years, not currently requiring any medical or dental care, and presenting with a complement of at least 20 natural teeth were recruited for this parallel design study. Enrolled subjects (n = 41) underwent oral examinations for dental plaque (PI) and gingivitis (GI) using the Turesky modification of the Quigley-Hein and the Löe-Silness Index, respectively, at the baseline visit, followed by a whole mouth dental prophylaxis. Subjects were given fluoride toothpaste for twice daily oral hygiene for the next 30 days. Subjects were recalled on days 15 and 30 for PI and GI examinations identical to baseline. Results Analyses indicated that mean scores for PI and GI on either arch and the whole mouth were higher than 2 and 1, respectively, during all examinations. Anterior surfaces consistently exhibited lower PI scores than posterior regions of either arch, or the entire dentition. Regional GI differences within the dentition were similar to PI scores, with lower scores on anterior than posterior teeth. Prophylaxis reduced both the frequency and mean scores of both PI and GI, irrespective of arch, with lower scores observed on anterior than posterior regions during all recall visits. Molar and lingual regions consistently exhibited higher PI and GI scores compared with anterior surfaces. At all examinations, mean scores for both plaque and gingivitis were higher on approximal vestibular than mid-vestibular surfaces. Conclusions Differences observed in PI and GI within the dentition have several practical implications: (a) there are advantages of whole mouth assessments for oral health (b) a need for oral hygiene formulations to reduce the larger deposits of dental plaque in the posterior region and resultant gingival inflammation, and (c) a requirement for ongoing oral hygiene education.


2020 ◽  
Author(s):  
Wenzhe You ◽  
Aimin Hao ◽  
Shuai Li ◽  
Yong Wang ◽  
Bin Xia

Abstract Background: Dental plaque is the cause of many common oral diseases (e.g., caries, gingivitis, and periodontitis). Therefore, the detection and control of dental plaque are of great significance to children’s oral health. The objectives of this study are to design an artificial intelligence (AI) model based on deep learning to detect dental plaque on primary teeth and evaluate the diagnostic accuracy of the AI model.Methods: A conventional neural network (CNN) framework was adopted, and a total of 886 photos of primary teeth taken by an intraoral camera (1280×960 pixels; TPC Ligang, Shenzhen, China) were used to train the AI model. To validate the clinical feasibility, 98 photos of primary teeth taken by the intraoral camera were assessed by the AI model. Additionally, tooth photos were acquired using a digital camera (3216×2136 pixels, Canon EOS 60D, Japan). One experienced pediatric dentist looked at these photos and marked the regions the photos containing dental plaque. Then, a plaque-disclosing agent was applied, and the areas of dental plaque were identified. After a week, the dentist drew the dental plaque area on the 98 photos taken by the digital camera a second time to evaluate the consistency of manual diagnosis. In another round of comparison, 102 photos of primary teeth taken by the same intraoral camera were marked to denote the dental plaque area obtained both by the AI model and by the pediatric dentist to evaluate the diagnostic ability of each approach based on photos with lower-resolution (fewer pixels) than those taken by the digital camera. The mean intersection-over-union (MIoU) metric was employed to indicate the detection accuracy.Results: The MIoU for the detection of dental plaque on the tested tooth photos was 0.726 ± 0.165.The MIoU of the dentist when diagnosing the 98 photos taken by the digital camera for the first time was 0.695 ± 0.269, while after one week, the MIoU of the dentist was 0.689 ± 0.253. Compared to the dentist, the AI model demonstrated a higher MIoU (0.736 ± 0.174), and the results did not change after a week. When both the dentist and the AI model assessed the 102 photos taken by the intraoral camera. the MIoU of the pediatric dentist was 0.652 ± 0.195, and the MIoU of the AI model was 0.724 ±0.159. The results of a paired t-test found no significant difference between the AI model and human specialist (P > .05) in diagnosing dental plaque on primary teeth.Conclusions: The AI model showed clinically acceptable performance in detecting dental plaque on primary teeth compared with an experienced pediatric dentist. This finding illustrates the potential application in adopting such AI technology for helping children improve their oral health.


2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Mohammad Nima Motallaei ◽  
Mohsen Yazdanian ◽  
Hamid Tebyanian ◽  
Elahe Tahmasebi ◽  
Mostafa Alam ◽  
...  

Dental plaque is a biofilm composed of complex microbial communities. It is the main cause of major dental diseases such as caries and periodontal diseases. In a healthy state, there is a delicate balance between the dental biofilm and host tissues. Nevertheless, due to the oral cavity changes, this biofilm can become pathogenic. The pathogenic biofilm shifts the balance from demineralization-remineralization to demineralization and results in dental caries. Dentists should consider caries as a result of biological processes of dental plaque and seek treatments for the etiologic factors, not merely look for the treatment of the outcome caused by biofilm, i.e., dental caries. Caries prevention strategies can be classified into three groups based on the role and responsibility of the individuals doing them: (1) community-based strategy, (2) dental professionals-based strategy, and (3) individual-based strategy. The community-based methods include fluoridation of water, salt, and milk. The dental professionals-based methods include professional tooth cleaning and use of varnish, fluoride gel and foam, fissure sealant, and antimicrobial agents. The individual-based (self-care) methods include the use of fluoride toothpaste, fluoride supplements, fluoride mouthwashes, fluoride gels, chlorhexidine gels and mouthwashes, slow-release fluoride devices, oral hygiene, diet control, and noncariogenic sweeteners such as xylitol. This study aimed to study the research in the recent five years (2015–2020) to identify the characteristics of dental biofilm and its role in dental caries and explore the employed approaches to prevent the related infections.


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