摘要
目的:分析急性心肌梗死的多层螺旋CT影像学特征。方法:6只家猪开胸结扎前降支远端1/3,建立急性无再灌注心肌梗死模型,行双期螺旋CT扫描,对得到的CT影像学图像特点进行分析。结果:6只动物全部成功建模,早期CT扫描特征为造影剂灌注缺损,延迟扫描时灌注缺损面积百分比明显减少[(13.52±5.22)%vs(9.07±3.47)%,P=0.004],平均下降32.14%;残余灌注缺损区域周围CT值明显高于非梗死区域[(156±21)vs(132±25)HU,P=0.004);在不同扫描时相,不同区域组织的CT值密度发生变化,心腔由(586±111)HU下降到(294±53)HU(P=0.001),非梗死区域心肌由(247±54)HU降到(132±25)HU(P=0.001),灌注缺损区域CT值无明显变化[(29±23)vs(42±14)HU,P=0.289]。结论:急性心肌梗死的双期螺旋CT影像学特征为早期灌注缺损,延迟灌注改善和残余灌注缺损;早期扫描高估梗死区域的面积。
Objective:To analyze the characteristics of multislice spiral computed tomography (CT) for acute myocardial infarction. Methods: The anterior descending coronary arteries of 6 pigs were ligated at the 1/3 distal end to establish acute myocardial infarction model without reperfusion. Dual muhislice spiral CT scanning was performed in all animals and the CT characteristics were analyzed. Results: Acute myocardial infarction model was successfully established in all 6 animals. Myocardial perfusion deficits were detected during early phase scanning; the area of deficits were significantly decreased during late phase scanning ( 13.52 % ±5.22 % vs 9.07 % ± 3, 47 %, P = 0. 004), with a mean decrease of 32.14 %. CT value of different myocardial varied at different scanning times: the values of I.V cavity decreased from (586±111) HU to (294±53) HU (P= 0.001),that of the normal myocardial area decreased from (247± 54) HU to (132± 25) HU (P=0.001); the values of the perfusion deficit regions were not significantly changed ([42 ± 14] HU vs [29 ± 23] HU, P = 0. 289). During late phase seanning,CT value around residual perfusion deficit was higher than that of normal myoeardium ([156±21] HU vs [132±25] HU, P= 0. 004). Conclusion: The dual-phase MSCT characteristics of AMI include early perfusion deficits,late enhancement and residual perfusion deficits. Early phase scanning may overestimate the infarction area.
出处
《第二军医大学学报》
CAS
CSCD
北大核心
2008年第7期792-795,共4页
Academic Journal of Second Military Medical University
基金
上海市卫生局科技发展基金(054027)~~
关键词
心肌梗死
多层螺旋计算机体层摄影术
myocardial infarction
multislice spiral computed tomography