RESUMEN
In this article, we propose a new approach to analyze large genomics data. We considered individual genetic variants as pixels in an image and transformed a collection of variants into an artificial image object (AIO), which could be classified as a regular image by CNN algorithms. Using schizophrenia as a case study, we demonstrate the principles and their applications with 3 datasets. With 4,096 SNVs, the CNN models achieved an accuracy of 0.678 ± 0.007 and an AUC of 0.738 ± 0.008 for the diagnosis phenotype. With 44,100 SNVs, the models achieved class-specific accuracies of 0.806 ± 0.032 and 0.820 ± 0.049, and AUCs of 0.930 ± 0.017 and 0.867 ± 0.040 for the bottom and top classes stratified by the patient's polygenic risk scores. These results suggest that, once transformed to images, large genomics data can be analyzed effectively with image classification algorithms.
RESUMEN
A patient with skeletal Class III malocclusion was treated in 2 phases during the early permanent dentition. In phase 1, maxillary protraction was combined with rapid palatal expansion; in phase 2, fixed appliances were placed. The results were good posttreatment, and, 1 year later, a favorable growth tendency could be observed. This report shows that treatment for a patient with skeletal Class III malocclusion can be started in the early permanent dentition, with very good final results.
Asunto(s)
Maloclusión de Angle Clase III/prevención & control , Maloclusión de Angle Clase III/terapia , Ortodoncia Correctiva/métodos , Ortodoncia Interceptiva/métodos , Técnicas de Movimiento Dental/instrumentación , Factores de Edad , Niño , Dentición Permanente , Femenino , Humanos , Maloclusión de Angle Clase III/diagnóstico , Maloclusión de Angle Clase III/diagnóstico por imagen , Mandíbula/crecimiento & desarrollo , Mandíbula/patología , Maxilar/crecimiento & desarrollo , Desarrollo Maxilofacial , Aparatos Ortodóncicos , Radiografía , Prevención Secundaria , Resultado del TratamientoRESUMEN
OBJECTIVE: The purpose of this study is to evaluate the methods of treatment on Class III malocclusion with mandibular deviations, and clarify the principles of expansion and multiloop edgewise arch wire technique. METHODS: 8 skeletal class III with mandibular deviations patients were selected (male 3, female 5, aged 12-18). They were all corrected with maxillary expansion and multiloop edgewise arch wire technique. RESULTS: In all cases, molar relationships were class I, the overbite and the overjet were normal, and the upper and lower midline were harmony. CONCLUSION: Mild and moderate skeletal class III with mandibular deviation can be corrected successfully by maxillary expansion and multiloop edgewise arch wire technique.