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Clinical Myocardial Perfusion PET/CT

Open access
Di Carli, M. F., Dorbala, S., Meserve, J., El Fakhri, G., Sitek, A., Moore, S. C.·2007·Journal of Nuclear Medicine

Abstract

The field of nuclear cardiology is witnessing growing interest in the use of cardiac PET for the evaluation of patients with coronary artery disease (CAD). The available evidence suggests that myocardial perfusion PET provides an accurate means for diagnosing obstructive CAD, which appears superior to SPECT especially in the obese and in those undergoing pharmacologic stress. The ability to record changes in left ventricular function from rest to peak stress and to quantify myocardial perfusion (in mL/min/g of tissue) provides an added advantage over SPECT for evaluating multivessel CAD. There is growing and consistent evidence that gated myocardial perfusion PET also provides clinically useful risk stratification. Although the introduction of hybrid PET/CT technology offers the exciting possibility of assessing the extent of anatomic CAD (CT coronary angiography) and its functional consequences (ischemic burden) in the same setting, there are technical challenges in the implementation of CT-based transmission imaging for attenuation correction. Nonetheless, this integrated platform for assessing anatomy and biology offers a great potential for translating advances in molecularly targeted imaging into humans.

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Metadata

Authors
Di Carli, M. F., Dorbala, S., Meserve, J., El Fakhri, G., Sitek, A., & Moore, S. C.
Venue
Journal of Nuclear Medicine
Published
2007-05-01
Volume
48
Issue
5
Pages
783-793
ISSN
0161-5505 (ISSN-L)
OpenAlex
W2125893301
Cited by
290
References
0
FWCI
20.75
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Clinical Myocardial Perfusion PET/CT. https://app.cochat.ai/papers/10.2967/jnumed.106.032789
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Di Carli, M. F., Dorbala, S., Meserve, J., El Fakhri, G., Sitek, A., & Moore, S. C. (2007). Clinical Myocardial Perfusion PET/CT. Journal of Nuclear Medicine. https://doi.org/10.2967/jnumed.106.032789

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.