16层螺旋CT高级肺分析软件用于诊断孤立性肺结节

目的 探讨GE 16层螺旋CT高级肺分析软件(ALA)在孤立性肺结节(SPN)诊断中的价值.方法 CT扫描50例SPN患者后,经ALAsingle处理获得SPN的多平面重建(MPR)和容积再现(VR)图像.对患者行2次或2次以上随访复查,经ALAmulti计算获得SPN倍增时间(DT).结果 VR图像对SPN形态、棘突的显示优于MPR图像(P<0.05);对毛刺以及与血管关系的显示,MPR图像更清晰(P<0.05).恶性和体积增大的良性SPN,其DT间的差异有统计学意义(P<0.05).以400天为阈值,其判断良恶性的敏感度为88.24%,特异度为83.33%.结论 ALA软件能够获得病灶的MPR和VR图像,通过计算DT反应SPN生长特点,综合分析SPN的良恶性.

Advanced lung analysis software of 16-slice CT in the diagnosis of solitary pulmonary nodules

Objective To discuss the value of 16-slice CT advanced lung analysis (ALA) software in diagnosis of solitary pulmonary nodules (SPN). Methods Fifty patients with SPN underwent CT scan, then multi-planar reconstruction (MPR) and volume rendering (VR) images were obtained with ALAsingle. All patients underwent follow-up review at least twice, and the information of doubling time (DT) was obtained with ALAmulti. Results VR displayed images of SPN shape and acantha superior to MPR (P<0.05). MPR images showed spicules and blood vessels of SPN more clearly than VR (P<0.05). There was statistical difference of DT (P<0.05) between malignant and benign SPN. Taking 400 days as the threshold value, the sensitivity to determine benign or malignant was 88.24%, and the specificity was 83.33% for SPN with increased volume. Conclusion MPR and VR images of SPN can be obtained with ALA software, which can reflect the growth characteristics through DT calculation, comprehensively analyze and evaluate benign and malignant SPN.