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三种用于检测牙釉质裂纹的视觉诊断方法:一项体外研究。

Three Visual-Diagnostic Methods for the Detection of Enamel Cracks: An In Vitro Study.

作者信息

Hausdörfer Tim, Harms Lisa, Kanzow Philipp, Hülsmann Michael

机构信息

Department of Preventive Dentistry, Periodontology and Cariology, University Medical Center Göttingen, D-37075 Göttingen, Germany.

Clinic for Preventive Dentistry, Periodontology and Cariology, Center of Dental Medicine, University of Zurich, CH-8032 Zurich, Switzerland.

出版信息

J Clin Med. 2023 Jan 27;12(3):973. doi: 10.3390/jcm12030973.

Abstract

Tooth fractures are a common cause of tooth loss, frequently starting as enamel cracks. However, methods for the detection of enamel cracks are poorly investigated. The aim of the study was the validation of three clinical methods for the detection of enamel cracks: dental operating microscope (DOM), near-infrared transillumination (NIR), and fiber-optic transillumination (FOTI), with hard-tissue slices serving as controls. A total of 89 extracted teeth, set up as diagnostic models, were investigated, and the maximum crack depth was scored by two examiners. The actual crack depth was determined microscopically (25×) using horizontal sections. The accuracy of each method was analyzed using receiver operating characteristic (ROC) curves. Across all tooth surfaces, the area under the curve (AUC) amounted to 0.57 (DOM), 0.70 (FOTI), and 0.67 (NIR). For crack detection on vestibular/oral surfaces, the AUC was 0.61 (DOM), 0.78 (FOTI), and 0.74 (NIR); for proximal surfaces, it was 0.59 (DOM), 0.65 (FOTI), and 0.67 (NIR). However, the actual crack depth was underestimated with each method ( < 0.001). Under in vitro conditions, FOTI and NIR are suitable for detection of enamel cracks, especially on vestibular and oral tooth surfaces. However, an exact estimation of crack depth is not possible. Therefore, FOTI and NIR seem to be helpful for the clinical detection of enamel cracks.

摘要

牙齿折断是牙齿缺失的常见原因,通常始于牙釉质裂纹。然而,牙釉质裂纹的检测方法研究较少。本研究的目的是验证三种检测牙釉质裂纹的临床方法:牙科手术显微镜(DOM)、近红外透照(NIR)和光纤透照(FOTI),并以硬组织切片作为对照。共研究了89颗拔除的牙齿,将其设置为诊断模型,由两名检查者对最大裂纹深度进行评分。使用水平切片在显微镜下(25倍)确定实际裂纹深度。使用受试者工作特征(ROC)曲线分析每种方法的准确性。在所有牙齿表面,曲线下面积(AUC)分别为0.57(DOM)、0.70(FOTI)和0.67(NIR)。对于前庭/口腔表面的裂纹检测,AUC分别为0.61(DOM)、0.78(FOTI)和0.74(NIR);对于邻面,AUC分别为0.59(DOM)、0.65(FOTI)和0.67(NIR)。然而,每种方法都低估了实际裂纹深度(<0.001)。在体外条件下,FOTI和NIR适用于检测牙釉质裂纹,尤其是在前庭和口腔牙齿表面。然而,无法精确估计裂纹深度。因此,FOTI和NIR似乎有助于牙釉质裂纹的临床检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ed0/9917518/65a25a18ad44/jcm-12-00973-g001.jpg

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