Institute of Radiology, Charité - Universitätsmedizin Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.
Department of Oral and Maxillofacial Surgery, Charité - Universitätsmedizin Berlin, Hindenburgdamm 30, 12203, Berlin, Germany.
Comput Biol Med. 2018 Dec 1;103:161-166. doi: 10.1016/j.compbiomed.2018.10.023. Epub 2018 Oct 19.
To evaluate whether Canon's Single-Energy Metal Artifact Reduction (SEMAR) algorithm can significantly improve subjective and objective image quality of patients with nonremovable dental hardware undergoing CT imaging of the oral cavity and oropharynx.
SEMAR was reconstructed from routine Adaptive Iterative Dose Reduction (AIDR) images in 154 patients (46 females and 108 males; mean age 66.3 ± 10.5 years). Subjective SEMAR and AIDR image quality of the mouth floor, sublingual glands, lymphatic ring and overall impression were evaluated by two independent radiologists on a 6-point scale (1 = very good image quality, 6 = poor image quality) and compared to ratings of an oral and maxillofacial surgeon. Interrater agreement was assessed using the intraclass correlation coefficient (ICC). Objective image analysis was performed by placing regions of interest (ROIs) on the mouth floor and measuring CT attenuation in Hounsfield units (HU) and standard deviation (SD).
SEMAR significantly improved subjective image quality in all evaluated structures for all raters (p < 0.001). Furthermore, SEMAR significantly reduced objective metal artifacts and image noise (p < 0.001).
SEMAR significantly improved diagnostic quality of CT images of the oral cavity and oropharynx by reducing artifacts caused by dental hardware.
评估佳能的单能量金属伪影降低（SEMAR）算法是否可以显著改善接受口腔和口咽 CT 成像的不可移除牙科硬件患者的主观和客观图像质量。
从 154 名患者（46 名女性和 108 名男性；平均年龄 66.3±10.5 岁）的常规自适应迭代剂量降低（AIDR）图像中重建 SEMAR。两位独立的放射科医生使用 6 分制（1=非常好的图像质量，6=差的图像质量）评估口腔底部、舌下腺、淋巴环和整体印象的 SEMAR 和 AIDR 图像质量，并与口腔颌面外科医生的评分进行比较。使用组内相关系数（ICC）评估组内一致性。通过在口腔底部放置感兴趣区域（ROI）并以亨氏单位（HU）和标准差（SD）测量 CT 衰减值来进行客观图像分析。
SEMAR 显著改善了所有评估结构的所有评分者的主观图像质量（p<0.001）。此外，SEMAR 显著降低了客观的金属伪影和图像噪声（p<0.001）。
SEMAR 通过降低牙科硬件引起的伪影，显著提高了口腔和口咽 CT 图像的诊断质量。
