ABSTRACT
To analyze the accuracy rate of a digital image recognition system in matching the palatal rugae Morphology after orthodontic treatment, before orthodontic treatment and to provide theoretical evidence for individual identification in the field of forensic dentistry. High-resolution digital images of the palatal rugae were taken under particular conditions from each patient before and after orthodontic treatment. Features of each digital image were extracted using a digital image recognition system and included in the palatal rugae database. Using an MATLAB software system, information matching of the palatal rugae was performed. From the matching results, the accuracy rate of individual identification of orthodontic patients was 100 %, with a Euclidean distance of 0. The accuracy rate in matching palatal rugae patterns before and after orthodontic treatment was 95.67 %. The results were statistically significant with P < 0.05. Palatal rugae pattern is highly individual-specific. After orthodontic treatment, palatal rugae are morphologically diverse, but these changes do not greatly influence the individual identification in the field of forensic dentistry, which provides a new method of and pathway to forensic identification.
El objetivo de este trabajo consistitó en analizar la tasa de exactitud de un sistema de reconocimiento de imágenes digitales en la adaptación de la morfología de la rugosidad palatina después del tratamiento ortodóncico, antes del tratamiento ortodóncico y proporcionar evidencia teórica para la identificación individual en el campo de la odontología forense. Las imágenes digitales de alta resolución de las rugas palatinas fueron tomadas bajo condiciones particulares de cada paciente antes y después del tratamiento ortodóncico. Las características de cada imagen digital se extrajeron utilizando un sistema de reconocimiento de imagen digital y se incluyeron en la base de datos de rugas palatinas. Utilizando el software MATLAB, se realizó la comparación de información de las rugas palatinas. A partir de los resultados coincidentes, la tasa de exactitud de la identificación individual de los pacientes ortodóncicos fue del 100 %, con una distancia euclídea de 0. La tasa de precisión en los patrones de rugas palatinas coincidentes antes y después del tratamiento ortodóncico fue del 95,67 %. Los resultados fueron estadísticamente significativos con P < 0,05. El patrón palatino de las rugas es altamente individual-específico. Después del tratamiento ortodóncico, las rugas palatinas son morfológicamente diversas, pero estos cambios no influyen mucho en la identificación individual en el campo de la odontología forense, lo que proporciona un nuevo método y vía para la identificación forense.
Subject(s)
Humans , Male , Female , Orthodontics , Image Interpretation, Computer-Assisted , Palate, Hard/diagnostic imaging , Forensic Dentistry , Software , Palate, Hard/anatomy & histologyABSTRACT
Background: Streptococcus pneumoniae, which cause noninvasive pneumococcal diseases, severely impair children's health. This study analyzed serotype distribution and antimicrobial resistance of S. pneumoniae from January 2012 to December 2012 in a Children's Hospital, Shanghai. Methods: A total of 328 pneumococcal isolates were serotyped by multiplex sequential PCR and/or capsule-quellung reaction. The minimum inhibitory concentrations for 11 antimi- crobial agents were determined by broth microdilution method. Results: Among 328 strains, 19F (36.3%), 19A (13.4%), 6A (11.9%), 23F (11.0%), 14 (5.8%), 6B (5.2%), and 15B/C (4.3%) were the most common serotypes. The coverage rates of 7-, 10-, and 13-valent conjugate vaccines (PCV7, PCV10, and PCV13) were 58.2%, 58.2%, and 84.1%, respectively. Out of the isolates, 26 (7.9%) strains were penicillin resistant. Most of the strains displayed high resistance rate to macrolides (98.5% to erythromycin, 97.9% to azithromycin, and 97.0% to clindamycin). Conclusions: The potential coverage of PCV13 is higher than PCV7 and PCV10 because of the emergence of 19A and there should be long-term and systematic surveillance for non-vaccine serotypes. .