Page 37 - MDA SCATE 2023 Programme Book
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ORAL PRESENTATION ABSTRACTS
ASSESSING EFFECTIVENESS OF WHATSAPP MESSAGING PROGRAM IN ORAL HYGIENE
Abstract 1
CARE FOR ORTHODONTIC PATIENTS
Shivahami a/p Pubalan
Klinik Pergigian Padang Luas, Bera, Pahang, Malaysia
Objective: To evaluate the difference in oral hygiene status of patients with fixed appliances between
weekly WhatsApp application oral hygiene message reminders (trial) group and the verbal instructions
(control) group in a duration of 12-week follow up.
Methods: In this prospective, single-blind, observational randomization study, 40 patients were assigned
to two groups i.e., control (n=20) and trial (n=20). Oral hygiene was measured using the Orthodontic Plaque
Index at three orthodontic checkups: at baseline, at 6 week follow up and at 12 week follow up.
Results: The participants average age was 17 and 80% were females. Friedman test for comparison of OPI
among individual group was used to determine the effect of the intervention on the change in oral hygiene
across the visits. At the end of 12 week follow up, there were improvements in Orthodontic Plaque Index
scores regardless of the intervention. Mann-Whitney U test revealed statistically significant difference (p <
0.05) between the control and trial group whereby the trial group had marked improvement in Orthodontic
Plaque Index.
Conclusion: The results demonstrate that adolescent orthodontic patients receiving regular reminders of
oral hygiene via WhatsApp messaging had a significant improvement in oral hygiene as compared to the
control group.
Accuracy of Smartphone 3D Scanner in Dental Models Digitalization - An In-Vitro
Abstract 2
Study
Yuhao Jiang , Hu Long , Suet Yeo Soo , Hetal A/L Ashvin Kumar , In Meei Tew 1
1
1
2
1
1. The Faculty of Dentistry, The National University of Malaysia
2. Department of Orthodontics, State Key Laboratory of Oral Diseases, West China School of Stomatology,
Sichuan University, Chengdu, Sichuan, China
Objectives: To assess and compare the accuracy of dental models digitization using intraoral and
smartphone scanner.
Methods: A maxillary stone dental model was prepared and scanned by a laboratory scanner (3Shape
E3, Copenhagen, Denmark) as a reference scan. The dental model was then scanned eleven times by an
intraoral scanner (3Shape Trios 3, Copenhagen, Denmark) and a smartphone scanner application (KIRI
Engine). All digital dental models acquired by intraoral and smartphone scanners were superimposed
with reference scan data (trueness assessment) and within the group (precision assessment) using the
best-fit algorithm of Geomagic Wrap software. Parameters such as height and width of selected teeth
(central incisors, canines, first premolars and first molars), the distance between two canine cusp tips and
the distance between mesio-palatal cusp tips of two first molars in each digital dental model generated
by intraoral and smartphone scanners were measured with a digital calliper and compared with those in
digital dental model generated by laboratory scanner. All absolute mean deviations were calculated and
differences between groups were tested using the Mann-Whitney U with a statistically significant value set
at 0.05.
Results: Trueness assessment demonstrated no significant difference in dental model digitization between
intraoral and smartphone scanners (p=0.171). However, the precision assessment showed that the intraoral
scanner yielded higher reproducibility than the smartphone scanner (p<0.001). Further comparison
showed no significant difference between groups in the measurement of width (p=0.592) and height
(p=0.292) of selected teeth, the distance between two canine cusp tips(p=0.401) and the distance between
mesial-palatal cusp tips of two first molars (p=0.478).
Conclusion: The dental models digitised by the smartphone scanner are less precise as compared to those
digitised by the intraoral scanner but there is no significant difference between groups in trueness, width
and height of teeth, inter-canines and inter-molars distance assessment.”
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