Feldhaus Felix W, Böning Georg, Kahn Johannes, Fehrenbach Uli, Maurer Martin, Renz Diane, Streitparth Florian
Charité - Universitätsmedizin Berlin, Germany.
Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, University of Bern, Bern, Switzerland.
Acta Radiol. 2020 Oct;61(10):1421-1430. doi: 10.1177/0284185120903446. Epub 2020 Mar 2.
In computed tomography (CT) scans, artifacts caused by metallic orthopedic implants still hamper the visualization of important, periprosthetic tissues. Smart MAR metal artifact reduction tool is a promising three-stage, projection-based, post-processing algorithm.
To determine whether the Smart MAR tool improves subjective and objective image quality and diagnostic confidence in patients with orthopedic implants of the hip, spine, and shoulder.
Seventy-two patients with orthopedic screws, hip/shoulder replacement, or spine spondylodesis were included. CT scans were performed on a single-source multislice CT scanner, raw data were post-processed using Smart MAR. Image quality was evaluated both quantitatively (ROI-based) and qualitatively (rater-based) and compared to iterative reconstructions (ASIR V). As comparative standard for artificial prosthetic breaks or loosening, follow-up examinations were used.
Smart MAR reconstructions of the hip (n = 23), spine (n = 26), and shoulder (n = 23) showed a significantly reduced attenuation and noise of regions adjacent to metallic implants (<0.002). Subjective image quality (<0.005, shoulder = 0.038/ = 0.046) and overall diagnostic confidence were higher in Smart MAR (all regions <0.002). Signal-to-noise ratio (SNR; = 0.72/ = 0.96) was not improved. Compared to standard ASIR V new, artificial metal extinctions (up to 50%) or periprosthetic hem lines (48%-73%) were introduced by Smart MAR.
Smart MAR improved image quality of the hip, spine, and shoulder CT scans resulting in higher diagnostic confidence in evaluation of periprosthetic soft tissues. As shown for spine implants, it should be used with caution and as a complementary tool for evaluation of periprosthetic loosening or integrity of metal implant, as in many cases it introduced new artifacts.
在计算机断层扫描(CT)中,金属骨科植入物引起的伪影仍然妨碍对假体周围重要组织的可视化。智能MAR金属伪影减少工具是一种有前景的基于投影的三阶段后处理算法。
确定智能MAR工具是否能改善髋、脊柱和肩部植入骨科植入物患者的主观和客观图像质量以及诊断信心。
纳入72例有骨科螺钉、髋/肩置换或脊柱融合术的患者。在单源多层CT扫描仪上进行CT扫描,使用智能MAR对原始数据进行后处理。通过定量(基于感兴趣区)和定性(基于评分者)评估图像质量,并与迭代重建(ASIR V)进行比较。使用随访检查作为人工假体断裂或松动的比较标准。
髋部(n = 23)、脊柱(n = 26)和肩部(n = 23)的智能MAR重建显示金属植入物相邻区域的衰减和噪声显著降低(<0.002)。智能MAR的主观图像质量(<0.005,肩部= 0.038 /= 0.046)和总体诊断信心更高(所有区域<0.002)。信噪比(SNR;= 0.72 /= 0.96)没有改善。与标准ASIR V新方法相比,智能MAR引入了新的人工金属衰减(高达50%)或假体周围血线(48%-73%)。
智能MAR改善了髋、脊柱和肩部CT扫描的图像质量,从而在评估假体周围软组织时具有更高的诊断信心。如脊柱植入物所示,应谨慎使用,并作为评估假体周围松动或金属植入物完整性的补充工具,因为在许多情况下它会引入新的伪影。