Bezerra I S Q, Neves F S, Vasconcelos T V, Ambrosano G M B, Freitas D Q
1 Oral Radiology Area, Department of Oral Diagnosis, Piracicaba Dental School, State University of Campinas, Piracicaba, São Paulo, Brazil.
2 Department of Community Dentistry, Dental School of Piracicaba, State University of Campinas, Piracicaba, São Paulo, Brazil.
Dentomaxillofac Radiol. 2015;44(6):20140428. doi: 10.1259/dmfr.20140428. Epub 2015 Mar 12.
To assess the influence of the artefact reduction algorithm (AR) available on the Picasso Trio 3D(®) imaging system (Vatech, Hwaseong, Republic of Korea) on image quality [greyscale values, contrast-to-noise ratio (CNR) and artefact formation] and diagnosis of vertical root fractures (VRFs) in the teeth with intracanal metal posts.
30 uniradicular teeth had their crowns removed and their roots endodontically treated to receive intracanal metal posts. In 20 teeth, both complete (n = 10) and incomplete (n = 10) VRFs were created. Each tooth was scanned twice, with and without AR activation. The mean and variation of greyscale values, as well as CNR, were calculated for all images. Subsequently, an evaluator compared the amount of artefact (cupping, white streaks and dark bands) in all images. Five evaluators rated for VRF presence using a five-point scale.
Mean greyscale values and CNR were significantly decreased in images acquired with the AR. The usage of the algorithm promoted an overall reduction of image artefacts. Regarding the diagnosis of complete and incomplete VRFs, the use of the AR had an overall negative impact on specificity and accuracy.
While indeed reducing artefact formation, the use of the AR, instead of improving the impact on the diagnosis of VRFs in teeth with intracanal metal posts, had a negative impact on the diagnosis.
评估韩国华城Vatech公司的Picasso Trio 3D(®)成像系统上可用的伪影减少算法(AR)对图像质量[灰度值、对比度噪声比(CNR)和伪影形成]以及根管内有金属桩的牙齿垂直根折(VRF)诊断的影响。
30颗单根牙去除冠部,根管进行牙髓治疗后植入根管内金属桩。在20颗牙齿上制造完整(n = 10)和不完整(n = 10)的VRF。每颗牙齿在激活AR和未激活AR的情况下各扫描两次。计算所有图像的灰度值均值和变化以及CNR。随后,一名评估者比较所有图像中的伪影量(杯状、白色条纹和黑色条带)。五名评估者使用五点量表对VRF的存在情况进行评分。
使用AR采集的图像中灰度值均值和CNR显著降低。该算法的使用促进了图像伪影的总体减少。关于完整和不完整VRF的诊断,AR的使用对特异性和准确性总体上有负面影响。
虽然AR确实减少了伪影形成,但它对根管内有金属桩的牙齿VRF诊断的影响并非改善,而是有负面影响。