Argüello-Sánchez Raúl, Calderón-Alday Ivette Alejandra, Hernández-Morales Antonio, Rodríguez-Méndez Benjamín Gonzalo, Medina-Castro Diego, López-Callejas Régulo, Medina-Solís Carlo Eduardo
Faculty of Dentistry, Autonomous University of the Mexico State, Av. Paseo Tollocan 13, Colonia Universidad, Toluca de Lerdo C.P. 50130, Estado de México, Mexico.
Stomatology Department of the Mexico State Health Institute, Av. Estado de México S/N, Colonia Rancho Guadalupe, Metepec C.P. 52140, Estado de México, Mexico.
Clin Pract. 2024 Dec 26;15(1):3. doi: 10.3390/clinpract15010003.
BACKGROUND/OBJECTIVES: The damage assessment of dental instruments, such as endodontic files, is crucial to ensure patient safety and treatment quality. Conventional scanning electron microscopy (SEM) has been the gold standard for this purpose; however, its limited accessibility and complex sample preparation protocols hinder its routine use in clinical settings. This study proposes a novel system that leverages digital photography and advanced image processing techniques as a viable alternative to SEM.
Our system accurately detects early instrument damage by capitalizing on the high resolution of digital images. Its exceptionally user-friendly interface, portability, and key features make it highly suitable for daily clinical practice.
Our findings suggest that the proposed system provides image quality comparable to SEM.
Image stacking provides a practical, efficient, and objective method for assessing endodontic instruments' morphology. By detecting early damage, this system significantly improves the safety and quality of endodontic procedures, especially for reusable NiTi files, instilling confidence and security in its use. It offers a cost-effective and user-friendly alternative to traditional methods such as visual inspection and SEM, making it a comfortable and confident choice for both research and clinical settings.
背景/目的:评估诸如根管锉等牙科器械的损伤情况对于确保患者安全和治疗质量至关重要。传统的扫描电子显微镜(SEM)一直是用于此目的的金标准;然而,其有限的可及性和复杂的样品制备方案阻碍了它在临床环境中的常规使用。本研究提出了一种利用数码摄影和先进图像处理技术的新型系统,作为SEM的可行替代方案。
我们的系统通过利用数字图像的高分辨率准确检测器械早期损伤。其极其用户友好的界面、便携性和关键特性使其非常适合日常临床实践。
我们的研究结果表明,所提出的系统提供了与SEM相当的图像质量。
图像叠加为评估根管器械的形态提供了一种实用、高效且客观的方法。通过检测早期损伤,该系统显著提高了根管治疗程序的安全性和质量,特别是对于可重复使用的镍钛锉,增强了其使用的信心和安全性。它为诸如目视检查和SEM等传统方法提供了一种经济高效且用户友好的替代方案,使其成为研究和临床环境中舒适且可靠的选择。