Myocardial perfusion imaging for diabetes: Key points from the evidence and clinical questions to be answered.


Journal

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
ISSN: 1532-6551
Titre abrégé: J Nucl Cardiol
Pays: United States
ID NLM: 9423534

Informations de publication

Date de publication:
10 2020
Historique:
received: 01 07 2019
accepted: 30 07 2019
pubmed: 15 8 2019
medline: 23 11 2021
entrez: 15 8 2019
Statut: ppublish

Résumé

Diabetes represents a worldwide increasing problem and cardiovascular disease is the most common cause of death in diabetic patients. Pathophysiology that links diabetes to cardiovascular disease is a complex and multifactorial phenomenon evolving over time and involving both large blood vessels (macrovasculature) and small blood vessels (microvasculature). Myocardial perfusion imaging (MPI) imaging by both single-photon emission computer tomography and positron emission tomography with different specific tracers has become an indispensable tool for discriminating normal from diseased myocardial tissues and left ventricular function and monitoring myocardial blood flows, leading to the evaluation of almost overall physiologic consequences of the macro- and microvascular impairment involved in diabetic patients. This review will provide an overview of the role of MPI in the diagnosis and risk assessment of patients with diabetes and suspected or known CAD.

Identifiants

pubmed: 31410733
doi: 10.1007/s12350-019-01846-1
pii: 10.1007/s12350-019-01846-1
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1569-1577

Auteurs

Wanda Acampa (W)

Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy. acampa@unina.it.

Roberta Assante (R)

Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.

Emilia Zampella (E)

Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.

Mario Petretta (M)

Department of Translational Medical Sciences, University Federico II, Naples, Italy.

Alberto Cuocolo (A)

Department of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.

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Classifications MeSH