Doriguêtto Paulo Victor Teixeira, de Almeida Daniela, de Lima Carolina Oliveira, Lopes Ricardo Tadeu, Devito Karina Lopes
School of Dentistry, Federal University of Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil.
Nuclear Engineering Department, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
J Dent Res Dent Clin Dent Prospects. 2022 Fall;16(4):243-250. doi: 10.34172/joddd.2022.039. Epub 2022 Dec 30.
The present study assessed the quality of images and the presence of marginal gaps on cone-beam computed tomography (CBCT) images of teeth restored with all-ceramic and metal-ceramic crowns and compared the gap sizes observed on CBCT images with those obtained on micro-CT images.
Thirty teeth restored with metal-ceramic and all-ceramic crowns, properly adapted and with gaps of 0.30 and 0.50 mm, were submitted to micro-CT and CBCT scans. Linear measurements corresponding to the marginal gap (MG) and the absolute marginal discrepancy (AMD) were obtained. The objective assessment of the quality of CBCT images was performed using the contrast-to-noise ratio (CNR), and the subjective assessment was defined by the diagnoses made by five examiners regarding the presence or absence of gaps.
The measurements were always higher for CBCT, with a significant difference regarding AMD. No significant difference in image quality was observed using CNR between the crowns tested. Low accuracy and sensitivity values could be observed for both crowns.
Marginal mismatch measures were overestimated in CBCT images. No difference in image quality was observed between the crowns. The correct diagnosis of gaps was considered low, irrespective of crown type and gap size.
本研究评估了全瓷冠和金属烤瓷冠修复牙齿的锥束计算机断层扫描(CBCT)图像的质量及边缘间隙的存在情况,并将CBCT图像上观察到的间隙大小与微计算机断层扫描(micro-CT)图像上获得的间隙大小进行了比较。
对30颗用金属烤瓷冠和全瓷冠修复的牙齿进行适当调整,使其间隙分别为0.30mm和0.50mm,然后进行微计算机断层扫描和锥束计算机断层扫描。获得了与边缘间隙(MG)和绝对边缘差异(AMD)对应的线性测量值。使用对比噪声比(CNR)对CBCT图像质量进行客观评估,主观评估由五名检查者对间隙的存在与否做出的诊断来定义。
CBCT的测量值总是更高,在AMD方面存在显著差异。在所测试的牙冠之间,使用CNR未观察到图像质量的显著差异。两种牙冠的准确性和敏感性值均较低。
CBCT图像中边缘不匹配测量值被高估。牙冠之间未观察到图像质量差异。无论牙冠类型和间隙大小如何,间隙的正确诊断率都较低。