| 刘卓,马婧,洪楠,陈雷,陈尘,胡立宝,郅新.双能量CT联合金属伪影削减算法显示微弹簧圈定位肺结节[J].中国医学影像技术,2018,34(2):302~305 |
| 双能量CT联合金属伪影削减算法显示微弹簧圈定位肺结节 |
| Application of dual-energy CT with metal artifact reduction algorithm in microcoil localization for lung nodules |
| 投稿时间：2017-08-09 修订日期：2017-12-26 |
| DOI：10.13929/j.1003-3289.201708062 |
| 中文关键词: 体层摄影术,X线计算机 双能量 伪影 肺结节 微弹簧圈 |
| 英文关键词:Tomography, X-ray computed Dual-energy Artifacts Lung nodules Microcoil |
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| 摘要点击次数: 2484 |
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| 中文摘要: |
| 目的 评价双能量能谱CT（DESCT）扫描获得的虚拟单色谱（VMS）图像联合金属伪影削减（MAR）算法在CT引导微弹簧圈定位肺结节中的应用价值。方法 选取80例CT引导微弹簧圈定位的肺结节患者，微弹簧圈置入后，对其行DESCT扫描。选择最佳光子能量水平，在最佳能量水平重建VMS图像及经MAR算法处理的VMS图像（VMS+MAR），比较VMS、VMS+MAR图像质量主观评分的差异。结果 选择74 keV为最佳能量水平。74、90、110、140 keV VMS+MAR图像质量优于50 keV图像（P均<0.05）；74、90、110、140 keV水平VMS+MAR图像质量评分差异均无统计学意义（P均>0.05）。74 keV VMS+MAR图像质量优于VMS图像（P<0.05）。2名观察者主观评分一致性较好（Kappa值=0.78）。结论 74 keV VMS图像联合MAR算法可有效抑制微弹簧圈金属伪影，清晰显示肺结节。 |
| 英文摘要: |
| Objective To explore the value of virtual monochromatic spectral (VMS) images acquired from dual-energy spectral CT (DESCT) with metal artifact reduction (MAR) algorithm in CT-guided microcoil localization for lung nodules. Methods Totally 80 patients with lung nodules underwent DESCT after CT-guided microcoil placement. At optimal keV level, VMS images and VMS with MAR algorithm (VMS+MAR) images were reconstructed, and image quality scores were compared. Results 74 keV was selected as the optimal level. The image quality of VMS+MAR images at 74, 90, 110 and 140 keV were better than that at 50 keV (all P<0.05). There was no statistical difference of image quality among 74, 90, 110 and 140 keV VMS+MAR images (all P>0.05). At 74 keV, the image quality of VMS+MAR images was better than that of VMS images (P<0.05). The consistency was good between the 2 observers (Kappa=0.78). Conclusion VMS images at 74 keV with MAR algorithm could reduce artifacts from microcoil, and clearly display lung nodules. |
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