Wang Andréa Huey Tsu, Panzarella Francine Kühl, Fontana Carlos Eduardo, Junqueira José Luiz Cintra, Bueno Carlos Eduardo da Silveira
Division of Endodontics, Research Institute, São Leopoldo Mandic Dental School, Campinas, Brazil.
Division of Oral Radiology, Research Institute, São Leopoldo Mandic Dental School, Campinas, Brazil.
Imaging Sci Dent. 2023 Mar;53(1):11-19. doi: 10.5624/isd.20220106. Epub 2022 Nov 30.
This study compared the accuracy of detection of incomplete vertical root fractures (VRFs) in filled and unfilled teeth on cone-beam computed tomography images with and without a metal artefact reduction (MAR) algorithm.
Forty single-rooted maxillary premolars were selected and, after endodontic instrumentation, were categorized as unfilled teeth without fractures, filled teeth without fractures, unfilled teeth with fractures, or filled teeth with fractures. Each VRF was artificially created and confirmed by operative microscopy. The teeth were randomly arranged, and images were acquired with and without the MAR algorithm. The images were evaluated with OnDemand software (Cybermed Inc., Seoul, Korea). After training, 2 blinded observers each assessed the images for the presence and absence of VRFs 2 times separated by a 1-week interval. -values<0.05 were considered to indicate significance.
Of the 4 protocols, unfilled teeth analysed with the MAR algorithm had the highest accuracy of incomplete VRF diagnosis (0.65), while unfilled teeth reviewed without MAR were associated with the least accurate diagnosis (0.55). With MAR, an unfilled tooth with an incomplete VRF was 4 times more likely to be identified as having an incomplete VRF than an unfilled tooth without this condition, while without MAR, an unfilled tooth with an incomplete VRF was 2.28 times more likely to be identified as having an incomplete VRF than an unfilled tooth without this condition.
The use of the MAR algorithm increased the diagnostic accuracy in the detection of incomplete VRF on images of unfilled teeth.
本研究比较了在有和没有金属伪影减少（MAR）算法的锥形束计算机断层扫描图像上，填充牙和未填充牙中不完全垂直根折（VRF）的检测准确性。
选择40颗单根上颌前磨牙，在进行根管治疗后，分为无骨折的未填充牙、无骨折的填充牙、有骨折的未填充牙或有骨折的填充牙。每例VRF均通过手术显微镜人工制造并确认。牙齿随机排列，分别在有和没有MAR算法的情况下采集图像。使用OnDemand软件（韩国首尔Cybermed公司）对图像进行评估。经过培训后，2名盲法观察者分别对图像进行两次VRF有无的评估，间隔1周。P值<0.05被认为具有统计学意义。
在4种方案中，使用MAR算法分析的未填充牙对不完全VRF诊断的准确性最高（0.65），而未使用MAR评估的未填充牙诊断准确性最低（0.55）。使用MAR时，有不完全VRF的未填充牙被识别为有不完全VRF的可能性是没有这种情况的未填充牙的4倍，而不使用MAR时，有不完全VRF的未填充牙被识别为有不完全VRF的可能性是没有这种情况的未填充牙的2.28倍。
使用MAR算法提高了未填充牙图像上不完全VRF检测的诊断准确性。
