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.
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.
复制标题
使用来自无既往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的心肌灌注自动定量来检测冠状动脉疾病。
DOI:
10.1253/circj.cj-12-0701
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发表时间:
2012
期刊:
影响因子:
--
通讯作者:
T. Murohara
中科院分区:
文献类型:
--
作者:
M. Nanasato;S. Morita;Ruka Yoshida;T. Niimi;Mitsuo Sugimoto;Kazumasa Tsukamoto;H. Hirayama;T. Murohara
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 (201)thallium 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.