Early risk stratification using Rubidium-82 positron emission tomography in STEMI patients

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology(2017)

引用 3|浏览32
暂无评分
摘要
Background Assessment of infarct size after myocardial infarction is predictive of subsequent morphological changes and clinical outcome. This study aimed to assess subacute post-intervention Rubidium-82 ( 82 Rb)-PET imaging in predicting left ventricle ejection fraction, regional wall motion, and final infarct size by CMR at 3-months after STEMI. Methods STEMI patients undergoing percutaneous coronary intervention were included prospectively. Rest-only 82 Rb-PET perfusion imaging was performed at median 36 hours [IQR: 22 to 50] after the treatment. The extent of hypoperfusion and absolute blood flow (mL·min·g) were estimated on a global and a 17-segment model with dedicated software. At 3-months follow-up patients completed the CMR functional and late gadolinium enhancement imaging. Results 42 patients were included, but only 35 had follow-up CMR and constituted the study population. Absolute blood flow was significantly lower in the infarct-related territory compared to remote myocardium, P < .005. Extent of hypoperfusion correlated with final infarct size, r = 0.58, P < .001, while blood flow correlated with ejection fraction, r = 0.41, P < .05. In linear mixed models, higher subacute absolute blood flow ( β = 4.6, confidence interval [3.5; 5.2], P < .001, R 2 = 0.67) was associated with greater wall motion. Segmental extent of subacute hypoperfusion ( β = 0.43 [0.38; 0.49], P < .001, R 2 = 0.58) was associated with the degree of late gadolinium enhancement at 3-months. Conclusions Subacute rest-only 82 Rb-PET is feasible following STEMI and seems predictive of myocardial function and infarct size at 3-months.
更多
查看译文
关键词
Positron emission tomography,Rubidium-82,ST-segment elevation myocardial infarction,cardiac magnetic resonance,final infarct size,myocardial blood flow
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要