Head-to-head comparison of the diagnostic performances of Rubidium-PET and SPECT with CZT camera for the detection of myocardial ischemia in a population of women and overweight individuals.


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:
06 2020
Historique:
received: 18 09 2018
accepted: 11 11 2018
pubmed: 24 12 2018
medline: 31 8 2021
entrez: 22 12 2018
Statut: ppublish

Résumé

The aim of this study was to compare the diagnostic performances for the detection of myocardial ischemia of 82-Rb-PET-MPS and 99m-Tc-SPECT-MPS in overweight individuals and women. Men with BMI ≥ 25 and women referred for MPS were considered for inclusion. All individuals underwent 99m-Tc-SPECT-MPS with CZT cameras and 82-Rb-PET-MPS in 3D-mode. Individuals with at least one positive MPS were referred for coronary angiography (CA) with FFR measurements. A criterion for positivity was a composite endpoint including significant stenosis on CA or, in the absence of CA, the occurrence of acute coronary event during the following year. 313 patients (46% women) with mean BMI of 31.8 ± 6.5 were included. Sensitivity for the detection of myocardial ischemia was higher with 82-Rb-PET-MPS compared with 99m-Tc-SPECT-MPS (85% vs. 57%, P < .05); specificity was equally high with both imaging techniques (93% vs. 94%, P > .05). 82-Rb-PET allowed for a more accurate detection of patients with a high-risk coronary artery disease (HR-CAD) than 99m-Tc-SPECT-MPS (AUC = 0.86 vs. 0.75, respectively; P = .04). In women and overweight individuals, 82-Rb-PET-MPS provides higher sensitivity for the detection of myocardial ischemia than 99m-Tc-SPECT-MPS thanks to a better image quality and an improved detection of HR-CAD.

Sections du résumé

BACKGROUND
The aim of this study was to compare the diagnostic performances for the detection of myocardial ischemia of 82-Rb-PET-MPS and 99m-Tc-SPECT-MPS in overweight individuals and women.
METHODS AND RESULTS
Men with BMI ≥ 25 and women referred for MPS were considered for inclusion. All individuals underwent 99m-Tc-SPECT-MPS with CZT cameras and 82-Rb-PET-MPS in 3D-mode. Individuals with at least one positive MPS were referred for coronary angiography (CA) with FFR measurements. A criterion for positivity was a composite endpoint including significant stenosis on CA or, in the absence of CA, the occurrence of acute coronary event during the following year. 313 patients (46% women) with mean BMI of 31.8 ± 6.5 were included. Sensitivity for the detection of myocardial ischemia was higher with 82-Rb-PET-MPS compared with 99m-Tc-SPECT-MPS (85% vs. 57%, P < .05); specificity was equally high with both imaging techniques (93% vs. 94%, P > .05). 82-Rb-PET allowed for a more accurate detection of patients with a high-risk coronary artery disease (HR-CAD) than 99m-Tc-SPECT-MPS (AUC = 0.86 vs. 0.75, respectively; P = .04).
CONCLUSIONS
In women and overweight individuals, 82-Rb-PET-MPS provides higher sensitivity for the detection of myocardial ischemia than 99m-Tc-SPECT-MPS thanks to a better image quality and an improved detection of HR-CAD.

Identifiants

pubmed: 30574676
doi: 10.1007/s12350-018-01557-z
pii: 10.1007/s12350-018-01557-z
doi:

Substances chimiques

CdZnTe 0
Cadmium 00BH33GNGH
Zinc J41CSQ7QDS
Rubidium MLT4718TJW
Tellurium NQA0O090ZJ

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

755-768

Commentaires et corrections

Type : CommentIn

Auteurs

Fabien Hyafil (F)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France. fabien.hyafil@aphp.fr.
INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France. fabien.hyafil@aphp.fr.

Renata Chequer (R)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.

Emmanuel Sorbets (E)

Department of Cardiology, Avicenne University Hospital, AP-HP, University Paris 13, 9300, Bobigny, France.

Candice Estellat (C)

Département de Biostatistiques, Hôpital Pitié-Salpêtrière, AP-HP, Santé Publique et Informatique Médicale, 75013, Paris, France.
INSERM, CIC-EC 1425, ECEVE UMR 1123, 75018, Paris, France.

Gregory Ducrocq (G)

INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.
Department of Cardiology, Bichat University Hospital, AP-HP, 75018, Paris, France.
French Alliance for Cardiovascular Trials, and F-CRIN Network, Paris, France.

François Rouzet (F)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.

Toni Alfaiate (T)

Département d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France.

Hamza Regaieg (H)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.

Jérémie Abtan (J)

Department of Cardiology, Bichat University Hospital, AP-HP, 75018, Paris, France.
French Alliance for Cardiovascular Trials, and F-CRIN Network, Paris, France.

Sébastien Leygnac (S)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.

Milan Milliner (M)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.

Laetitia Imbert (L)

Department of Nuclear Medicine, Brambois University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France.

Samuel Burg (S)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.

Rana Ben Azzouna (R)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.

Louis Potier (L)

Department of Diabetology, DHU FIRE, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.

Cédric Laouénan (C)

Département d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France.

Caroline Quintin (C)

Département d'Epidémiologie, Hôpital Bichat, AP-HP, Biostatistique et Recherche Clinique, 75018, Paris, France.

Ronan Roussel (R)

Department of Diabetology, DHU FIRE, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.

Agnès Hartemann (A)

Department of Diabetology, Pitié-Salpétriêre University Hospital, AP-HP, Sorbonne University Paris 6, 75006, Paris, France.

Gilles Montalescot (G)

ACTION Study Group, Department of Cardiology, Pitié-Salpétriêre, Sorbonne Université-Paris 6, 75006, Paris, France.

Pierre-Yves Marie (PY)

Department of Nuclear Medicine, Brambois University Hospital, Lorraine University, 54500, Vandœuvre-Lès-Nancy, France.

Gabriel Steg (G)

INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.
Department of Cardiology, Bichat University Hospital, AP-HP, 75018, Paris, France.
French Alliance for Cardiovascular Trials, and F-CRIN Network, Paris, France.

Dominique Le Guludec (D)

Department of Nuclear Medicine, Bichat University Hospital, AP-HP, University Diderot, 75018, Paris, France.
INSERM, U-1148, DHU FIRE, University Diderot, 75018, Paris, France.

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