Dataset Information

Dental students' and lecturers' perception of the degree of difficulty of caries detection associated learning topics in Brazil.

ABSTRACT: It aimed to explore the degree of difficulty of caries-detection-associated-topics perceived by dental students and lecturers as pedagogical step in the development of learning objects for e-learning.A convenience sample comprising ninety-eight subjects from different academic levels (undergraduate/graduate students and pediatric dentistry lecturers) participated. Two spreadsheets (isolated/relative) were created considering key topics in the caries detection process. The isolated evaluation intended to explore each topic in an isolated way, while the relative intended to classify, comparatively, the participants' perceived difficulty per topic. Afterwards, data were analyzed. All values on spreadsheets were combined obtaining the subject's final perception. Associations between the subjects' degree of the perceived difficulty and academic level were estimated. ANOVA was used to determine differences regarding the perception among evaluated topics in distinct groups.Caries histopathology and detection of proximal carious lesions were the topics perceived as the most difficult in the process of caries detection by both students and lecturers. Differentiation between an extrinsic pigmentation and a brown-spot (caries lesion) as well as differential diagnosis between caries and enamel developmental defects or non-carious lesions were considered as more difficult by undergraduates in comparison to graduates/lecturers (regression-coefficient=14.54; Standard Error=3.34; P<0.001 and 8.40, 3.31, and 0.01 respectively).Topics as histopathology and detection of proximal caries lesions were identified as the most difficult despite the academic level. However, some topics are differently perceived according to the group. These results are useful for developing pedagogical material, based on the students real learning needs/expectations.

SUBMITTER: Lara JS

PROVIDER: S-EPMC4722168 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Dental students' and lecturers' perception of the degree of difficulty of caries detection associated learning topics in Brazil.

Lara Juan Sebastian JS Braga Mariana Minatel MM Shitsuka Caleb C Wen Chao Lung CL Haddad Ana Estela AE

Journal of educational evaluation for health professions 20151225

<h4>Purpose</h4>It aimed to explore the degree of difficulty of caries-detection-associated-topics perceived by dental students and lecturers as pedagogical step in the development of learning objects for e-learning.<h4>Methods</h4>A convenience sample comprising ninety-eight subjects from different academic levels (undergraduate/graduate students and pediatric dentistry lecturers) participated. Two spreadsheets (isolated/relative) were created considering key topics in the caries detection proc ...[more]

PMID: 26708573

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Project description:IntroductionAwareness about dental implants is increasing among dental patients, which demands a higher level of competence for dental students. So, the objective of this study was to assess the knowledge and perception of undergraduate dental students about dental implants.Materials and methodsThis cross-sectional questionnaire-based survey was conducted after taking ethical clearance and approval from the Institutional Review Committee of B.P. Koirala Institute of Health Sciences and informed consent from each dental college of Nepal. The sample included all those students who were present at the time of survey. Data collection were carried out during the academic schedules of the colleges, supervised, and monitored by the investigators themselves. Collected data were coded, entered in Microsoft excel 2013 and descriptive analysis was carried out.ResultsA majority of the total (54.6%) and 59.2% of 5th year respondents perceived to be moderately well-informed about dental implants. The main advantage of dental implants was thought to be longevity by 53.1% of total and 48.4% of 5th year students; only 27.6% of the total and 42.2% of 5th year students said the main advantage of dental implants is they are more conservative than other tooth-replacement modalities. Highest percentage of the total respondents (31.9%) said most important factor for implant success to be implant type and material, whereas 59.8% of 5th year students said case selection. Those who felt dental implants require additional oral hygiene maintenance and care by the patient and dentist were 58.4% of total and 75.1% of 5th year students. Over two-thirds (67.5%) of total thought that economic feasibility will limit use of dental implants in Nepal. The difficulty encountered to place implants was perceived to be average by 56.8% of total and 58.1% of 5th year. There were differences in the perception and knowledge at different academic levels, but not as expected.ConclusionsIt could not be concluded that knowledge about dental implants increased with increase in academic level. Even at the late-clinical year a majority of students gave unsatisfactory responses.

Project description:ObjectivesThis study aimed to investigate the accuracy of deep learning algorithms to diagnose tooth caries and classify the extension and location of dental caries in cone beam computed tomography (CBCT) images. To the best of our knowledge, this is the first study to evaluate the application of deep learning for dental caries in CBCT images.MethodsThe CBCT image dataset comprised 382 molar teeth with caries and 403 noncarious molar cases. The dataset was divided into a development set for training and validation and test set. Three images were obtained for each case, including axial, sagittal, and coronal. The test dataset was provided to a multiple-input convolutional neural network (CNN). The network made predictions regarding the presence or absence of dental decay and classified the lesions according to their depths and types for the provided samples. Accuracy, sensitivity, specificity, and F1 score values were measured for dental caries detection and classification.ResultsThe diagnostic accuracy, sensitivity, specificity, and F1 score for caries detection in carious molar teeth were 95.3%, 92.1%, 96.3%, and 93.2%, respectively, and for noncarious molar teeth were 94.8%, 94.3%, 95.8%, and 94.6%. The CNN network showed high sensitivity, specificity, and accuracy in classifying caries extensions and locations.ConclusionsThis research demonstrates that deep learning models can accurately identify dental caries and classify their depths and types with high accuracy, sensitivity, and specificity. The successful application of deep learning in this field will undoubtedly assist dental practitioners and patients in improving diagnostic and treatment planning in dentistry.Clinical significanceThis study showed that deep learning can accurately detect and classify dental caries. Deep learning can provide dental caries detection accurately. Considering the shortage of dentists in certain areas, using CNNs can lead to broader geographic coverage in detecting dental caries.

Project description:Dental caries is still a major public health problem owing to its high prevalence and incidence in several regions. Planning and development of effective preventive and treatment modalities for the management of dental caries demand information on disease pattern and treatment needs of the populations. However, there is a paucity of this information in Uganda. The aim of the present study was to identify the dental caries pattern and treatment needs among Ugandan adolescent students. This was a descriptive cross-sectional study conducted among 11- to 19-year-old adolescents attending two secondary schools in Kampala and Mukono districts of Uganda. At both schools, random sampling was used to select the participating classes and the adolescents. Decayed teeth and treatment needs were recorded using the World Health Organization Basic Oral Health Survey criteria. A total of 406 adolescents comprising of 249 female and 157 male students participated in the study. Data were analysed using STATA, version 12.0. The prevalence of decayed teeth (DT) was expressed as a percentage of individuals with DT score ?1. The treatment needs were categorised into three groups. Associations between dependent and independent variables were evaluated using cross-tabulation, chi-square test, and Poisson regression analysis. The overall prevalence of decayed teeth was 62.6% and mean DT was 1.7?±?2.3. A total of 696 decayed teeth were observed, and the molar teeth, particularly the second molar (50.6%), were the most significantly affected. The prevalence of caries was higher in the mandible (51.4%) compared to the maxilla though the difference was not statistically significant. Decayed teeth were significantly (p < 0.05) associated with difficulty in chewing, history of dental pain in the past 12 months, poor perception of tooth state, and the female participants. Majority (59.4%) of the study participants required restorations of teeth. About 83.2% (n?=?579) of the teeth needed restorations, while 44 needed extractions. In conclusion, the prevalence of decayed teeth was high among the study population. It is recommended that school health programmes should include oral health preventive and curative interventions to achieve optimum health.

Dataset Information

Dental students' and lecturers' perception of the degree of difficulty of caries detection associated learning topics in Brazil.

Publications

Dental students' and lecturers' perception of the degree of difficulty of caries detection associated learning topics in Brazil.

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