医学
冠状动脉疾病
单光子发射计算机断层摄影术
心肌灌注成像
接收机工作特性
发射计算机断层扫描
心脏病学
内科学
放射科
计算机辅助设计
冠状动脉造影
核医学
灌注
心肌梗塞
工程类
工程制图
作者
Enrico Calandri,Monica Verdoia,Roberta Sirovich,María Teresa Giraudo,Mirco Pultrone,Viviana Frantellizzi,Orazio Viola,Francesca Crivelli,Sonya Gallina,Monica Serralunga,Andrea Rognoni,Giuseppe DE VINCENTIS
标识
DOI:10.1097/mnm.0000000000001947
摘要
PURPOSE: Coronary artery disease (CAD) underestimation represents a major pitfall of single-photon emission computed tomography-myocardial perfusion imaging (SPECT-MPI). Coronary artery calcium score (CACS) has emerged as a sensitive tool for the assessment of suspect CAD; however, the integration of SPECT-MPI with CACS has been seldom evaluated, so far, and was therefore the aim of the present study. METHODS: Patients undergoing SPECT-MPI with CACS and subsequent coronary angiography were included. ROC curves were used to identify the CACS values best predictive for CAD. In SPECT-MPI negative patients, the formula: defined the optimal CACS cut-points. The Systematic Coronary Risk Evaluation 2 was applied for 10-year cardiovascular risk estimation. Significant CAD was defined for an epicardial coronary stenosis >70 or 50% for the left main. RESULTS: Among 124 patients, 61 (49.19%) displayed positive SPECT-MPI, whereas 69 (56%) had significant CAD at angiography. Sensitivity, specificity, and positive predictive value (PPV) for SPECT-MPI were, respectively, 74, 82, and 84%. Considering 63 SPECT-MPI negative cases, the index values for CACS at the optimal cutoff value of 1949 were: sensitivity 28%, specificity 89%, and PPV 50%, allowing to further detect five (8%) of the patients with significant CAD. The increased discriminative power of the combined SPECT-MPI with CACS was not conditioned by the pretest cardiovascular risk. CONCLUSION: Among patients with suspect CAD undergoing SPECT-MPI, the addition of CACS in negative cases allows to detect a consistent further 8% of patients with significant CAD, thus limiting the risk of disease underestimation and offering potential prognostic benefits.
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