Application of dual-energy CT with metal artifact reduction algorithm in microcoil localization for lung nodules / 中国医学影像技术

ABSTRACT

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.