CBCT参数对图像质量和金属桩牙垂直根裂诊断的影响:离体研究。

Larissa Pereira Lagos de Melo, Polyane Mazucatto Queiroz, Larissa Moreira-Souza, Mariana Rocha Nadaes, Gustavo Machado Santaella, Matheus Lima Oliveira, Deborah Queiroz Freitas
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引用次数: 0

摘要

目的:本研究的目的是评估峰值电压(kVp)和金属伪影还原(MAR)工具对锥形束计算机断层扫描(CBCT)图像质量和垂直根骨折(VRF)诊断的影响。材料与方法:将20颗单根人牙根内充填金属桩分为对照组(n = 10)和VRF组(n = 10)。将每颗牙齿放入干燥下颌骨的牙槽中,使用不同kVp(70、80、90或99)的Picasso Trio和使用(带或不带)的MAR进行CBCT扫描。5名检查人员采用5分制评估VRF的诊断。通过比较研究方案的随机轴向图像,对伪影的表达进行主观评价。诊断结果采用双向方差分析和Tukey事后检验进行分析,主观评价采用Friedman检验进行比较,检查者内部可重复性采用加权kappa检验(α = 5%)进行评估。结果:kVp和MAR对VRF的诊断无显著影响(p > 0.05)。根据主观分类,带有MAR的99 kVp协议伪影表达最少,而没有MAR的70 kVp协议伪影表达最多。结论:高kVp联合MAR方案提高了CBCT检查的图像质量。然而,这些因素并没有导致VRF诊断的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Influence of CBCT parameters on image quality and the diagnosis of vertical root fractures in teeth with metallic posts: an <i>ex vivo</i> study.

Influence of CBCT parameters on image quality and the diagnosis of vertical root fractures in teeth with metallic posts: an <i>ex vivo</i> study.

Influence of CBCT parameters on image quality and the diagnosis of vertical root fractures in teeth with metallic posts: an <i>ex vivo</i> study.

Influence of CBCT parameters on image quality and the diagnosis of vertical root fractures in teeth with metallic posts: an ex vivo study.

Objectives: The aim of this study was to evaluate the influence of peak kilovoltage (kVp) and a metal artifact reduction (MAR) tool on image quality and the diagnosis of vertical root fracture (VRF) in cone-beam computed tomography (CBCT).

Materials and methods: Twenty single-rooted human teeth filled with an intracanal metal post were divided into 2 groups: control (n = 10) and VRF (n = 10). Each tooth was placed into the socket of a dry mandible, and CBCT scans were acquired using a Picasso Trio varying the kVp (70, 80, 90, or 99), and the use of MAR (with or without). The examinations were assessed by 5 examiners for the diagnosis of VRF using a 5-point scale. A subjective evaluation of the expression of artifacts was done by comparing random axial images of the studied protocols. The results of the diagnoses were analyzed using 2-way analysis of variance and the Tukey post hoc test, the subjective evaluations were compared using the Friedman test, and intra-examiner reproducibility was evaluated using the weighted kappa test (α = 5%).

Results: The kVp and MAR did not influence the diagnosis of VRF (p > 0.05). According to the subjective classification, the 99 kVp protocol with MAR demonstrated the least expression of artifacts, while the 70 kVp protocol without MAR led to the most artifacts.

Conclusions: Protocols with higher kVp combined with MAR improved the image quality of CBCT examinations. However, those factors did not lead to an improvement in the diagnosis of VRF.

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