武志芳,程艳,张万春,刘建中,李险峰,胡光,王进.99mTc-N-NOET运动MPI对可疑或确诊冠心病患者的预后评估价值[J].中国医学影像技术,2008,24(5):777~780
99mTc-N-NOET运动MPI对可疑或确诊冠心病患者的预后评估价值
Prognostic value of 99mTc-N-NOET SPECT exercise myocardial imaging in patients with suspected or diagnosed coronary artery disease
投稿时间:2008-01-20  修订日期:2008-04-02
DOI:
中文关键词:  99mTc-N-NOET  心肺比值  冠状动脉疾病
英文关键词:99mTc-N-NOET  Heart-lung ratio  Coronary disease
基金项目:
作者单位
武志芳 山西医科大学第一医院核医学科,山西 太原 030001 
程艳 山西医科大学第一医院核医学科,山西 太原 030001 
张万春 山西医科大学第一医院核医学科,山西 太原 030001 
刘建中 山西医科大学第一医院核医学科,山西 太原 030001 
李险峰 山西医科大学第一医院核医学科,山西 太原 030001 
胡光 山西医科大学第一医院核医学科,山西 太原 030001 
王进 山西医科大学第一医院核医学科,山西 太原 030001 
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中文摘要:
      目的 99mTc-N-NOET 心肌灌注显像(MPI)对可疑或确诊冠心病(CAD)患者的预后评估价值。方法 111 例患者行 99mTc-N-NOET 运动和延迟门控MPI(GMPI),随后随访是否发生心脏事件(CE)。结果 平均随访(33.47±7.69)个月,10 例发生CE,单因素和多因素逐步 Logistic 回归分析结果显示,预测CE 发生最有价值的危险因素包括异常心肌显像(χ2=8.69,P<0.05)和运动心肺比值(HLRex)(χ2=4.107,P<0.05),其中最重要的是 HLRex。当 HLRex<1.5时CE 发生的危险性明显升高(相对危险度9.505,P<0.05)。结论 99mTc-N-NOET MPI 可作为预测可疑或确诊 CAD 患者发生 CE 的无创性检查方法;根据HLRex的大小可有效区分高危和低危患者。
英文摘要:
      Objective To analyze the prognostic value of 99mTc-N-NOET myocardial perfusion imaging (MPI) in patients with suspected or diagnosed coronary artery disease (CAD). Methods One hundred and eleven patients underwent 99mTc-N-NOET exercise and delay Gated MPI (GMPI), and followed by investigation of cardiac events (CE). Results Over an average follow-up time is 33.47±7.69 months, CE occurred in 10 patients. Univariate analyses and Multivariate stepwise Logistic regression analyses revealed that the abnormal myocardial imaging (χ2=8.69, P<0.05) and HLRex (χ2=4.107, P<0.05) were predictive value for occurrence of subsequent CE, moreover, HLRex was the only variable with independent predictive value for occurrence of subsequent CE. HLRex less than 1.5 was associated with a significantly increased frequency of subsequent CE (relative risk ratio was 9.505, P<0.05). Conclusion 99mTc-N-NOET Ex-MPI is the most effective noninvasive technique that predicted the occurrence of CE in pts with suspected or diagnosed CAD. According to the size of HLRex, high-risk and low-risk pts can be effectively identified.
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