Ischemic burden assessment of myocardial perfusion CT, compared with SPECT using semi-quantitative and quantitative approaches

SSS公司* 医学 灌注 组内相关 心肌灌注成像 核医学 单光子发射计算机断层摄影术 发射计算机断层扫描 接收机工作特性 衰减校正 灌注扫描 缺血 放射科 正电子发射断层摄影术 心脏病学 内科学 临床心理学 心理测量学
作者
Osung Kwon,Hye Jeon Hwang,Hyun Jung Koo,Dong Hyun Yang,Hee Jun Kang,Jeong A. Kim,Dae Hyuk Moon,Hyun‐Sook Kim,Joon‐Won Kang,Young‐Hak Kim
出处
期刊:International Journal of Cardiology [Elsevier]
卷期号:278: 287-294 被引量:6
标识
DOI:10.1016/j.ijcard.2018.12.046
摘要

Background We aimed to compare the myocardial ischemic burden assessed using semi-quantitative and quantitative analysis of computed tomography-myocardial perfusion imaging (CT-MPI) with that of single-photon emission computed tomography (SPECT). Methods From 2011 to 2013, 97 patients who underwent CT-MPI and SPECT were evaluated. The extent and severity of perfusion defects were assessed on a 5-point scale using a standard 16-segment model, and were expressed as summed stress score (SSS) and summed difference score (SDS). Receiver operating characteristic (ROC) curves for quantitative parameters were generated for the diagnosis of abnormal perfusion defect (SSS ≥ 4) and presence of ischemia (SDS ≥ 2) on SPECT. Results On CT-MPI, 298 (19.2%) of the 1552 segments showed perfusion abnormalities during stress, whereas perfusion abnormalities were shown in 179 (11.5%) segments on SPECT-MPI. On a per-person basis, there was good agreement, with intraclass correlation coefficients of 0.78 for SSS and 0.72 for SDS. A significant reduction of attenuation in stress and myocardial perfusion reserve index, along with an increase in % defect volume of CT-MPI, were demonstrated as the degree of perfusion defect or ischemia on SPECT increased. On the ROC curves, % defect volume on CT-MPI demonstrated the highest area under the curve: 0.91 for abnormal perfusion defect and 0.89 (all p < 0.001) for the presence of ischemia on SPECT. Conclusions Semi-quantitative analysis of CT-MPI showed good accordance with SPECT. A quantitative approach for CT-MPI, especially % defect volume, may provide additional value in the identification of myocardial perfusion abnormalities. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01696006.
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