Incremental value of combining 64-slice computed tomography angiography with stress nuclear myocardial perfusion imaging to improve noninvasive detection of coronary ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-02

AUTHORS

Akira Sato, Toshihiro Nozato, Hiroyuki Hikita, Shinsuke Miyazaki, Yoshihide Takahashi, Taishi Kuwahara, Atsushi Takahashi, Michiaki Hiroe, Kazutaka Aonuma

ABSTRACT

BACKGROUND: To compare the accuracy of combined 64-slice computed tomography angiography (CTA) and stress nuclear myocardial perfusion imaging (MPI) in the noninvasive detection of coronary artery disease (CAD) with that of 64-slice CTA alone. METHODS AND RESULTS: One hundred thirty symptomatic patients with suspected CAD underwent both 64-slice CTA and stress thallium-201 MPI before invasive coronary angiography (ICA). Coronary lesions with >or=50% luminal narrowing were considered as significant stenoses on CTA and ICA. Of 390 arteries in 130 patients, 54 (14%) were nonevaluable by CTA due to severe calcifications, motion artifacts, and/or poor opacification. All nonevaluable arteries were considered positive. The sensitivity, specificity, PPV and NPV were 95%, 80%, 69%, and 97%, respectively, for CTA alone and 94%, 92%, 85%, and 97%, respectively, for CTA with stress nuclear MPI for all nonevaluable arteries on CTA. Per-patient analysis showed significant increase in specificity and PPV. The majority (75%, 9/12) of nonevaluable severely calcified vessels in the left anterior descending artery were positive on stress nuclear MPI, whereas the majority (89%, 8/9) of nonevaluable vessels with motion artifacts in the right coronary artery were negative. CONCLUSIONS: Combined CTA and stress nuclear MPI provide improved diagnostic accuracy for the noninvasive detection of CAD. More... »

PAGES

19-26

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12350-009-9150-5

DOI

http://dx.doi.org/10.1007/s12350-009-9150-5

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https://app.dimensions.ai/details/publication/pub.1052860040

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19777317


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