首页> 中文期刊> 《东南大学学报(医学版)》 >CT血管成像对冠心病的诊断价值

CT血管成像对冠心病的诊断价值

         

摘要

Objective:To evaluate the diagnostic efficacy of multi-detector computed tomography angiography (MDCTA) as an alternative to conventional coronary angiography in the assessment of coronary artery disease .Materials and Methods: This retrospective study enrolled 57 patients with coronary artery disease , who underwent both conventional coronary angiography ( CCA ) and multi-detector computed coronary angiography . Total of 931 accessible segments were studied .Of which 95 segments showed varied degree of stenosis , with 34 segments <50%stenosis, 43 segments 50% 70% stenosis and 18 segments >70% stenosis.Results: The sensitivity and specificity of 64-slice MDCT for detecting stenosis in <50%, 50% 70% and >70% were 78 .57% and 99.34%,81.08% and 99.33%,87.5% and 99.78%respectively.The positive predictive value ( PPV) and negative predictive value ( NPV) were 78.57% and 99.34%,83.33% and 99.22%,87.5% and 99.78%respectively.Over all accuracies were 88.95%, 90.2% and 93.64% respectively.There was no significant difference in diagnostic accuracy between conventional coronary angiography and 64-slice computed tomography in moderate (50% 70%) as well as severe ( >70%) stenosis (P>0.05).However, significant difference was found in mild ( <50%) stenosis ( P <0 .05 ) .Conclusion: Diagnostic accuracy of multi-detector computed coronary angiography is found to be higher in moderate and severe stenosis and can be used as an alternate to conventional coronary angiography ( CCA) .%目的:评估多层螺旋CT血管造影( CTA )对冠状动脉病变诊断的准确率,以期代替常规冠状动脉造影。材料及方法:回顾性收集57例冠心病患者的临床资料,均行冠状动脉造影及多层螺旋冠状动脉CTA成像。共选择931段冠脉进行研究,其中95段表现出不同程度的狭窄:34段狭窄程度<50%,43段狭窄程度为50%~70%,18段狭窄>70%。结果:64排CTA对诊断冠脉狭窄程度<50%、50%~70%及>70%的敏感性及特异性分别为78.57%、99.34%,81.08%、99.33%和87.5%、99.78%;阳性预测值及阴性预测值分别为78.57%、99.34%,83.33%、99.22%和87.5%、99.78%;诊断准确率分别为88.95%、90.2%及93.64%。常规冠脉造影及64排冠脉CTA成像对中度狭窄(50%~70%)及重度狭窄(>70%)的诊断准确率差异无统计学意义(P>0.05),但对轻度狭窄(<50%)的诊断差异有统计学意义(P<0.05)。结论:64排冠脉CTA成像对中重度狭窄的冠脉诊断准确率较高,可以取代常规冠脉造影。

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号