Radiology:SPECT灌注成像和冠脉CTA提示心脏会不会撂担子

2018-11-16 shaosai MedSci原创

本研究旨在验证联合SPECT心肌灌注(MPI)和冠脉CTA作为心脏影像学检查手段预测长期主要不良心脏事件(死亡、心肌梗死[MI]、不稳定心绞痛、冠脉血运重建)(MACEs)的价值。

本研究旨在验证联合SPECT心肌灌注(MPI)和冠脉CTA作为心脏影像学检查手段预测长期主要不良心脏事件(死亡、心肌梗死[MI]、不稳定心绞痛、冠脉血运重建)(MACEs)的价值。

本研究共回顾性分析了528例患者,并根据多模态影像学表现分为3组(a)冠脉CT显示血管狭窄≥50%且SPECT显示相应供血区心肌缺血(b)冠脉CT显示血管狭窄≥50%与SPECT显示心肌缺血相应血管不匹配(c)冠脉CT和SPECT表现正常。研究终止点为死亡或MI和合并MACEs。利用Kaplan-Meier法识别无MACEs生存期,利用Cox比例危害回归分析识别MACE的独立预测指标。

结果为,在随访了6.8年中,共有160次MACEs,其中包括死亡45人。与多模态影像学表现正常患者相比(1.2%; n = 216 [1.2%]; P < .001),血管狭窄和灌注异常匹配患者每年严重事件率约有5倍之高(n = 46 [7.0%]),而在非匹配患者约有3倍之高(n = 113 [3.7%])。匹配组、非匹配组和正常对照组的MACE发生率分别为21.8%、9.0%、2.4%。血管狭窄和灌注异常匹配是MACE或严重事件发生的独立预测指标。

本研究表明,心脏多模态影像学是对冠心病患者长期评价不良心脏事件的良好手段。血管狭窄和异常灌注匹配与每年心脏不良事件高发生率具有明显相关性。

原始出处:

Pazhenkottil AP, Benz DC, Gr?ni C. et al.Hybrid SPECT Perfusion Imaging and Coronary CT Angiography: Long-Term Prognostic Value for Cardiovascular Outcomes.Radiology.DOI:10.1148/radiol.2018171303

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    2019-03-22 爆笑小医
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    2019-04-19 feather89
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  5. 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  6. 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channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Sat Nov 17 09:09:40 CST 2018, time=2018-11-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=352837, encodeId=806d35283eb8, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=69, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Sat Nov 17 09:09:35 CST 2018, time=2018-11-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=352836, encodeId=205735283609, content=学习了长知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=0, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Sat Nov 17 09:09:31 CST 2018, time=2018-11-17, status=1, ipAttribution=)]
    2018-11-18 许安
  7. 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    2018-11-17 Y—xianghai

    学习了长知识

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  8. 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    2018-11-17 Y—xianghai

    学习了长知识

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  9. 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    2018-11-17 Y—xianghai

    学习了长知识

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  10. 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    2018-11-17 Y—xianghai

    学习了长知识

    0

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