What diagnostic strategy performs better for caries lesion detection on proximal surfaces of adolescents?

Author(s):  
Caroline M. Moriyama ◽  
Tatiane F. Novaes ◽  
Fernanda R. Ferreira ◽  
Bruna Lorena P. Moro ◽  
José Carlos P. Imparato ◽  
...  
2015 ◽  
Vol 30 (9) ◽  
pp. 2239-2244 ◽  
Author(s):  
D. G. Bussaneli ◽  
M. Restrepo ◽  
T. Boldieri ◽  
T. H. Albertoni ◽  
L. Santos-Pinto ◽  
...  

2015 ◽  
Vol 7 (4) ◽  
pp. 383-390 ◽  
Author(s):  
Janja Jan ◽  
Wan Zaripah Wan Bakar ◽  
Sapna M. Mathews ◽  
Linda O. Okoye ◽  
Benjamin R. Ehler ◽  
...  

10.2196/14140 ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. e14140
Author(s):  
Juan Sebastian Lara ◽  
Mariana Minatel Braga ◽  
Carlos Gustavo Zagatto ◽  
Chao Lung Wen ◽  
Fausto Medeiros Mendes ◽  
...  

Background In the last decade, 3D virtual models have been used for educational purposes in the health sciences, specifically for teaching human anatomy and pathology. These models provide an opportunity to didactically visualize key spatial relations that can be poorly understood when taught by traditional educational approaches. Caries lesion detection is a crucial process in dentistry that has been reported to be difficult to learn. One especially difficult aspect is linking clinical characteristics of the different severity stages with their histological features, which is fundamental for treatment decision-making. Objective This project was designed to develop a virtual 3D digital model of caries lesion formation and progression to aid the detection of lesions at different severity stages as a potential complement to traditional lectures. Methods Pedagogical planning, including identification of objectives, exploration of the degree of difficulty of caries diagnosis–associated topics perceived by dental students and lecturers, review of the literature regarding key concepts, and consultation of experts, was performed prior to constructing the model. An educational script strategy was created based on the topics to be addressed (dental tissues, biofilm stagnation areas, the demineralization process, caries lesion progression on occlusal surfaces, clinical characteristics related to different stages of caries progression, and histological correlations). Virtual 3D models were developed using the Virtual Man Project and refined using multiple 3D software applications. In the next phase, computer graphic modelling and previsualization were executed. After that, the video was revised and edited based on suggestions. Finally, explanatory subtitles were generated, the models were textured and rendered, and voiceovers in 3 languages were implemented. Results We developed a 6-minute virtual 3D dynamic video in 3 languages (English, Spanish, and Brazilian Portuguese) intended for dentists and dental students to support teaching and learning of caries lesion detection. The videos were made available on YouTube; to date, they have received more than 100,000 views. Conclusions Complementary pedagogical tools are valuable to support cariology education. This tool will be further tested in terms of utility and usability as well as user satisfaction in achieving the proposed objectives in specific contexts.


Author(s):  
Jessie R. Balbin ◽  
Renalyn L. Banhaw ◽  
Christian Raye O. Martin ◽  
Joanne Lorie R. Rivera ◽  
Jeffrey R. R. Victorino

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Ana Luiza Sarno Castro ◽  
Maria Isabel Pereira Vianna ◽  
Carlos Maurício Cardeal Mendes

2021 ◽  
Author(s):  
Jinling Hu ◽  
Weidong Ren

Abstract Objective:To explore a differential diagnosis strategy for the causes of coronary artery dilatation (CAD) in infants.Methods: Clinical and echocardiography data for 243 infants with CAD from the Shengjing Hospital of China Medical University were analyzed retrospectively. The patients were divided into congenital and acquired groups according to the CAD causes.Results: The lesion detection rate for CAD in 22,925 infants who underwent echocardiography was 1.06% (243/22,925). The acquired group accounted for 84.77% (206/243) of participants, all of which had Kawasaki disease. The congenital group accounted for 15.23% (37/243) of patients, including coronary artery fistula [12.35% (30/243)], anomalous origin of the coronary artery [2.06% (5/243)], severe pulmonary stenosis [0.41% (1/243)], and moderate aortic stenosis [0.41% (1/243)]. There was no significant difference in the Z-score for CAD between the two groups of children (P>0.05). There were differences in the scope and shape of CAD between the two groups (all P<0. 05). Acquired causes mainly manifested as segmental dilatation, while congenital causes manifested as tubular dilatation. The sensitivity and specificity of segmental dilatation in predicting acquired causes were 97.57% and 100%, respectively, and that of tubular dilatation in predicting congenital causes were 97.30% and 98.06%, respectively. Conclusion: It is particularly important to diagnose the cause of CAD because its treatment depends on its etiology. When an echocardiography examination identifies CAD in infants, comprehensive and systematic analysis can quickly and accurately determine the cause of CAD according to the diagnostic strategy process and evaluation of dilatation and cardiac structure characteristics.


2020 ◽  
Vol 92 ◽  
pp. 103260 ◽  
Author(s):  
Falk Schwendicke ◽  
Karim Elhennawy ◽  
Sebastian Paris ◽  
Philipp Friebertshäuser ◽  
Joachim Krois

2019 ◽  
Author(s):  
Juan Sebastian Lara ◽  
Mariana Minatel Braga ◽  
Carlos Gustavo Zagatto ◽  
Chao Lung Wen ◽  
Fausto Medeiros Mendes ◽  
...  

BACKGROUND In the last decade, 3D virtual models have been used for educational purposes in the health sciences, specifically for teaching human anatomy and pathology. These models provide an opportunity to didactically visualize key spatial relations that can be poorly understood when taught by traditional educational approaches. Caries lesion detection is a crucial process in dentistry that has been reported to be difficult to learn. One especially difficult aspect is linking clinical characteristics of the different severity stages with their histological features, which is fundamental for treatment decision-making. OBJECTIVE This project was designed to develop a virtual 3D digital model of caries lesion formation and progression to aid the detection of lesions at different severity stages as a potential complement to traditional lectures. METHODS Pedagogical planning, including identification of objectives, exploration of the degree of difficulty of caries diagnosis–associated topics perceived by dental students and lecturers, review of the literature regarding key concepts, and consultation of experts, was performed prior to constructing the model. An educational script strategy was created based on the topics to be addressed (dental tissues, biofilm stagnation areas, the demineralization process, caries lesion progression on occlusal surfaces, clinical characteristics related to different stages of caries progression, and histological correlations). Virtual 3D models were developed using the Virtual Man Project and refined using multiple 3D software applications. In the next phase, computer graphic modelling and previsualization were executed. After that, the video was revised and edited based on suggestions. Finally, explanatory subtitles were generated, the models were textured and rendered, and voiceovers in 3 languages were implemented. RESULTS We developed a 6-minute virtual 3D dynamic video in 3 languages (English, Spanish, and Brazilian Portuguese) intended for dentists and dental students to support teaching and learning of caries lesion detection. The videos were made available on YouTube; to date, they have received more than 100,000 views. CONCLUSIONS Complementary pedagogical tools are valuable to support cariology education. This tool will be further tested in terms of utility and usability as well as user satisfaction in achieving the proposed objectives in specific contexts.


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