Sahu Rohit Kumar, Rajguru Jagadish P, Pattnaiak Naina, Bardhan Debajyoti, Nayak Bikash
Department of Oral Medicine and Radiology, Hi-Tech Dental College and Hospital, Bhubaneswar, Odisha, India.
Department of Oral and Maxillofacial Pathology, Hi-Tech Dental College and Hospital, Bhubaneswar, Odisha, India.
J Family Med Prim Care. 2020 Jan 28;9(1):206-214. doi: 10.4103/jfmpc.jfmpc_934_19. eCollection 2020 Jan.
Digital imaging has the potential to improve diagnostic accuracy and make quantitative diagnoses. In the recent decades, software for radiographic analysis has been investigated and developed for the detection of lesions and the quantitative assessment of the depth of a caries lesion. In addition, the accuracy of diagnosis may also be enhanced by programs that filter the images. These programs can adjust the brightness and contrast, determine the gray level, invert the shades of gray, and apply pseudocolors. Few studies compared different types of digital images in the diagnosis of changes in the tooth crown.
The main aim of this study was to assess the the diagnostic accuracy of a direct digital radiography (DDR)-CMOS image with four types of filtered images for the detection of occlusal caries.
Fifty randomly selected patients' teeth were clinically examined and digitally radiographed. Radiographed images are converted into four filter images with the help of software. Filtered images were then selected for inter- and intraobserver examination and the result was subjected to statistical analysis.
DDR-CMOS and negative image were found to be more useful in diagnosing occlusal caries.
数字成像有提高诊断准确性并进行定量诊断的潜力。在最近几十年里,已对用于检测病变和定量评估龋损深度的放射成像分析软件进行了研究和开发。此外,通过对图像进行滤波的程序也可提高诊断准确性。这些程序可以调整亮度和对比度、确定灰度级、反转灰度阴影并应用伪彩色。很少有研究比较不同类型的数字图像在诊断牙冠变化方面的情况。
本研究的主要目的是评估直接数字射线摄影(DDR)-互补金属氧化物半导体(CMOS)图像与四种类型的滤波图像在检测咬合面龋齿方面的诊断准确性。
随机选择50例患者的牙齿进行临床检查并进行数字射线摄影。借助软件将射线摄影图像转换为四种滤波图像。然后选择滤波图像进行观察者间和观察者内检查,并对结果进行统计分析。
发现DDR-CMOS和负像在诊断咬合面龋齿方面更有用。