Key result
Computed tomographic assessment with fast dynamic scanning correctly identified 14 of 16 patent grafts and 11 of 11 diseased or blocked grafts compared to graft angiography.
Why the study?
Does fast dynamic scanning CT accurately assess coronary artery bypass graft patency and quality compared to graft angiography in symptomatic patients?
Observational (n=12)
No
Does fast dynamic scanning CT accurately assess coronary artery bypass graft patency and quality compared to graft angiography in symptomatic patients?
Fast dynamic CT scanning provides a reliable non-invasive method for diagnosing coronary artery bypass graft patency and quality compared to invasive angiography.
Answers are grounded in this paper and cite their sources.
Supports non-invasive graft assessment in symptomatic patients; leaves open prospective validation before practice change.
28 coronary grafts in 12 symptomatic patients were studied at the time of graft angiography at Prince Charles Hospital. The grafts were studied using the Toshiba 900S scanner with bolus injections of contrast agent into an anticubital vein. The assessment was carried out using fast incremental and continuous acquisition scanning with stepped reconstructions in the last 5 patients. Of the 27 grafts, 16 were shown at angiography to be patent and of good calibre. 14 of these were similarly assessed at CT. 11 were either diseased or blocked at angiography, and these were graded also as small, stenosed or blocked at CT. This early study would support previous reports that CT does offer a reliable method of diagnosing good patent grafts. The study also suggests that with conventional fast dynamic scanning some information regarding graft quality can be obtained.
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Slaughter et al. (1990) conducted an observational in Symptomatic patients with coronary artery bypass grafts (n=12). Computed Tomographic (CT) assessment with fast dynamic scanning vs. Graft angiography was evaluated on Graft patency and quality. Computed tomographic assessment with fast dynamic scanning correctly identified 14 of 16 patent grafts and 11 of 11 diseased or blocked grafts compared to graft angiography.
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