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首页> 外文期刊>Circulation journal >Detection of Coronary Artery Disease Using Automated Quantitation of Myocardial Perfusion on Single-Photon Emission Computed Tomography Images From Patients With Angina Pectoris Without Prior Myocardial Infarction
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Detection of Coronary Artery Disease Using Automated Quantitation of Myocardial Perfusion on Single-Photon Emission Computed Tomography Images From Patients With Angina Pectoris Without Prior Myocardial Infarction

机译:在没有先发性心肌梗塞的心绞痛患者的单光子发射计算机断层扫描图像上使用自动定量的心肌灌注量检测冠状动脉疾病

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Background: Whether or not automated scores obtained from myocardial single-photon emission computed tomography (SPECT) imaging using software correlate with the visual interpretations by experts remains obscure. Methods and Results: Eighty-seven consecutive patients with known or suspected angina pectoris underwent 201thallium stress/rest SPECT followed by coronary angiography and the summed difference scores (SDS) were calculated using Heart Score View software. The SDS was substantially associated with coronary stenosis and accurately detected culprit lesions, because the diagnostic accuracy was comparable to that of expert visual evaluation. Conclusions: Automated scores obtained from myocardial SPECT can help detect coronary artery disease. ( Circ J 2012; 76: 2280–2282)
机译:背景:使用软件从心肌单光子发射计算机断层扫描(SPECT)成像获得的自动评分与专家的视觉解释是否相关仍然不清楚。方法和结果:连续对87例已知或疑似心绞痛患者进行 201 th应力/静息SPECT,然后进行冠状动脉造影,并使用Heart Score View软件计算差异总和(SDS)。 SDS与冠状动脉狭窄基本相关,并能准确检测出罪魁祸首,因为诊断准确性可与专家视觉评估相媲美。结论:从心肌SPECT获得的自动评分可以帮助检测冠状动脉疾病。 (Circ J 2012; 76:2280–2282)

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