Abat Vahide Hazal, Kaptan Rabia Figen
Faculty of Dentistry, Uskudar University, Istanbul 34768, Turkey.
Faculty of Dentistry, Yeditepe University, Istanbul 34728, Turkey.
Diagnostics (Basel). 2025 Jan 28;15(3):305. doi: 10.3390/diagnostics15030305.
: This study aims to evaluate the accuracy of digital dental radiography in determining working length in root canal treatment via various image modules. : A total of 40 intact single-rooted, single-canal human premolar teeth were examined. Following meticulous cleaning, the teeth were placed in a maxillary premolar socket within a dry human skull. X-ray images were systematically captured via a Carestream RVG digital sensor under standardized conditions. The digital images are processed under five distinct image modules: 1. original module, 2. autoenhancement module, 3. autoenhancement+negative module, 4. negative module, 5. colored module. Three calibrated observers determined the working length of each digital radiograph after the specified image modules were applied. The agreement between the actual working length and the lengths determined by the observers was evaluated via Pearson correlation analysis. A significance level of 0.05 was set for the statistical tests. : A high level of intra- and interobserver agreement, with a strong correlation between the actual measurements and all image module groups, was obtained ( < 0.001). The original image module group demonstrated the highest compatibility (ICC = 0.940, r = 0.912), whereas the colored image module group exhibited the lowest compatibility (ICC = 0.924, r = 0.879) with the actual measurement. : This study demonstrates the accuracy of digital radiography in determining working length through the application of various image modules, with the original image module exhibiting the closest alignment to actual working lengths. These findings support the continued use and further development of computer-based image processing tools to optimize clinical outcomes in root canal therapy.
本研究旨在评估数字化牙科放射成像通过各种图像模块在根管治疗中确定工作长度的准确性。共检查了40颗完整的单根、单根管人类前磨牙。经过仔细清洁后，将牙齿置于干燥人类颅骨的上颌前磨牙牙槽窝内。在标准化条件下，通过Carestream RVG数字传感器系统地采集X线图像。数字图像在五个不同的图像模块下进行处理：1. 原始模块；2. 自动增强模块；3. 自动增强 + 负片模块；4. 负片模块；5. 彩色模块。在应用指定的图像模块后，三名经过校准的观察者确定每张数字放射照片的工作长度。通过Pearson相关分析评估实际工作长度与观察者确定的长度之间的一致性。统计检验设定的显著性水平为0.05。获得了较高的观察者内和观察者间一致性，实际测量值与所有图像模块组之间具有很强的相关性（<0.001）。原始图像模块组显示出最高的兼容性（ICC = 0.940，r = 0.912），而彩色图像模块组与实际测量值的兼容性最低（ICC = 0.924，r = 0.879）。本研究证明了数字化放射成像通过应用各种图像模块在确定工作长度方面的准确性，其中原始图像模块与实际工作长度的 alignment最接近。这些发现支持继续使用和进一步开发基于计算机的图像处理工具，以优化根管治疗的临床结果。
