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Role of cardiac 3D SPECT/CT fusion images in coronary artery disease

¹ Nuclear Medicine; ² Internal Medicine, Yeungnam University Hospital, Daegu, South Korea

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Objectives: Myocardial perfusion SPECT image (MPS) is an established method for noninvasively assessing the functional significance of coronary stenoses and delivers valuable information for risk stratification, but miss an individual patients with high risk anatomy who will have a serious cardiac event. Cardiac three-dimensional (3D) SPECT/CT image fusion(fusion image) may offer an incremental diagnostic value. This retrospective analysis compared the accuracies of fusion images and MPS in the detection of lesions of the coronary arteries.

Methods: Forty-eight patients (31 male, mean age 65 ± 10 years) with suspected coronary artery disease underwent one day adenosine stress MPS and 64-slice CT angiography (CTA). Fusion images were made by Cardiac IQ fusion software ( Advantage workstation 4.4, GE health care ) with stress MPS and CTA. MPS were analyzed by 2 experienced observers, and perfusion defects were detected and allocated to their corresponding coronary vessels. Fusion images were visually assessed with luminal narrowing > 50% in CTA and perfusion defects of fusion images by independent observer unawared of the results of MPS. All patients underwent conventional coronary angiography and stenoses were graded as diameter reduction 50%. Fusion images was compared to the results of MPS.

Results: Sensitivity, specificity, negative and positive predictive value for the fusion image and MPS was 88.6/74.3%, 89.2/83.8%, 86.1/81.3% and 91.7/77.5%, respectively (P<0.01). Fusion images offered additional informations about assigning perfusion defect territory to its subtending coronary artery and detecting new stenoses.

Conclusions: Fusion image enabled a comprehensive non-invasive view of the anatomical and functional status of the coronary artery tree.

This Article Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Download to citation manager Google Scholar Articles by Kong, E. Articles by Shim, B. PubMed Articles by Kong, E. Articles by Shim, B.