American journal of dentistry · 2024
Influence of file compression on radiographic diagnosis of periodontal bone loss on smartphones.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Savegnago Gleica D, Jacques Youdeline J, Ortigara Gabriela B, Vizzotto Mariana B, Liedke Gabriela S
Аннотация
PURPOSE: To evaluate the influence of imaging compression on radiographic diagnosis of periodontal bone loss on smartphones.
METHODS: 45 digital periapical radiographs with diverse periodontal bone loss patterns were selected. All radiographs were performed with a CMOS-type sensor and were exported from the acquisition software with two compressions: JPEG with a 10% compression rate and JPEG with a 90% compression rate. Images were shared using the WhatsApp application and three examiners evaluated all radiographs on the smartphone. The examiners' diagnostic agreement was evaluated using the Kappa index. The McNemar and Cochran's Q statistical tests were used to compare the impact of the image compression, examiner, and type of periodontal bone defect on the diagnosis. Statistical analysis was performed using the SPSS software.
RESULTS: Kappa values were greater than 0.7 for all examiners and no statistically significant difference for the periodontal diagnosis, regardless of the image compression, the examiner background, and the type of periodontal bone defect.
CLINICAL SIGNIFICANCE: The use of smartphones to analyze and share images has become very common in dentistry. This study shows that images can be shared and analyzed on smartphones without compromising periodontal diagnosis, regardless of their spatial resolution.
METHODS: 45 digital periapical radiographs with diverse periodontal bone loss patterns were selected. All radiographs were performed with a CMOS-type sensor and were exported from the acquisition software with two compressions: JPEG with a 10% compression rate and JPEG with a 90% compression rate. Images were shared using the WhatsApp application and three examiners evaluated all radiographs on the smartphone. The examiners' diagnostic agreement was evaluated using the Kappa index. The McNemar and Cochran's Q statistical tests were used to compare the impact of the image compression, examiner, and type of periodontal bone defect on the diagnosis. Statistical analysis was performed using the SPSS software.
RESULTS: Kappa values were greater than 0.7 for all examiners and no statistically significant difference for the periodontal diagnosis, regardless of the image compression, the examiner background, and the type of periodontal bone defect.
CLINICAL SIGNIFICANCE: The use of smartphones to analyze and share images has become very common in dentistry. This study shows that images can be shared and analyzed on smartphones without compromising periodontal diagnosis, regardless of their spatial resolution.