Diagnostic Accuracy of Cardiac Computed Tomography and 18-F Fluorodeoxyglucose Positron Emission Tomography in Cardiac Masses.

(18)F-fluorodeoxyglucose with positron emission tomography/computed tomography cardiac computed tomography primary cardiac benign tumors primary malignant tumors pseudotumors secondary malignant tumors

Journal

JACC. Cardiovascular imaging
ISSN: 1876-7591
Titre abrégé: JACC Cardiovasc Imaging
Pays: United States
ID NLM: 101467978

Informations de publication

Date de publication:
11 2020
Historique:
received: 05 12 2019
revised: 02 03 2020
accepted: 16 03 2020
pubmed: 22 6 2020
medline: 10 8 2021
entrez: 22 6 2020
Statut: ppublish

Résumé

This study sought to assess the diagnostic accuracy of cardiac computed tomography (CT) and The diagnostic accuracy of cardiac CT and Of 223 patients with echocardiographically diagnosed cardiac masses, a cohort of 60 cases who underwent cardiac CT and Irregular tumor margins, pericardial effusion, invasion, solid nature, mass diameter, CT contrast uptake, and pre-contrast characteristics were strongly associated with the malignant nature of masses. The coexistence of at least 5 CT signs perfectly identified malignant masses, whereas the detection of 3 or 4 CT signs did not accurately discriminate the masses' nature. The mean SUV Cardiac CT is a powerful tool to diagnose cardiac masses as the number of abnormal signs was found to correlate with the lesions' nature. Similarly,

Sections du résumé

OBJECTIVES
This study sought to assess the diagnostic accuracy of cardiac computed tomography (CT) and
BACKGROUND
The diagnostic accuracy of cardiac CT and
METHODS
Of 223 patients with echocardiographically diagnosed cardiac masses, a cohort of 60 cases who underwent cardiac CT and
RESULTS
Irregular tumor margins, pericardial effusion, invasion, solid nature, mass diameter, CT contrast uptake, and pre-contrast characteristics were strongly associated with the malignant nature of masses. The coexistence of at least 5 CT signs perfectly identified malignant masses, whereas the detection of 3 or 4 CT signs did not accurately discriminate the masses' nature. The mean SUV
CONCLUSIONS
Cardiac CT is a powerful tool to diagnose cardiac masses as the number of abnormal signs was found to correlate with the lesions' nature. Similarly,

Identifiants

pubmed: 32563654
pii: S1936-878X(20)30331-4
doi: 10.1016/j.jcmg.2020.03.021
pii:
doi:

Substances chimiques

Radiopharmaceuticals 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2400-2411

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2020 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Author Relationship With Industry The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Auteurs

Emanuela Concetta D'Angelo (EC)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Pasquale Paolisso (P)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Giovanni Vitale (G)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Alberto Foà (A)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Luca Bergamaschi (L)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Ilenia Magnani (I)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Giulia Saturi (G)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Andrea Rinaldi (A)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Sebastiano Toniolo (S)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

Matteo Renzulli (M)

Radiology Unit, Department of Experimental, Diagnostic and Specialty Medicine, Sant'Orsola Hospital, University of Bologna, Bologna, Italy.

Domenico Attinà (D)

Radiology Unit, Cardio-Thoracic-Vascular Department, Sant'Orsola Malpighi Hospital, University of Bologna, Bologna, Italy.

Luigi Lovato (L)

Radiology Unit, Cardio-Thoracic-Vascular Department, Sant'Orsola Malpighi Hospital, University of Bologna, Bologna, Italy.

Giacomo Maria Lima (GM)

Institute of Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Policlinico S. Orsola-Malpighi, Bologna, Italy.

Rachele Bonfiglioli (R)

Institute of Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Policlinico S. Orsola-Malpighi, Bologna, Italy.

Stefano Fanti (S)

Institute of Nuclear Medicine, Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Policlinico S. Orsola-Malpighi, Bologna, Italy.

Ornella Leone (O)

Department of Pathology, University of Bologna, Azienda Ospedaliera S. Orsola-Malpighi of Bologna, Italy.

Maristella Saponara (M)

Department of Specialized, Experimental and Diagnostic Medicine, Sant'Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.

Maria Abbondanza Pantaleo (MA)

Department of Specialized, Experimental and Diagnostic Medicine, Sant'Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.

Paola Rucci (P)

Division of Hygiene and Biostatistics, Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.

Luca Di Marco (L)

Cardiac Surgery Unit, Cardio-Thoracic-Vascular Department, Sant'Orsola Hospital, Alma Mater Studiorum, University of Bologna, Bologna, Italy.

Davide Pacini (D)

Cardiac Surgery Unit, Cardio-Thoracic-Vascular Department, Sant'Orsola Hospital, Alma Mater Studiorum, University of Bologna, Bologna, Italy.

Carmine Pizzi (C)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy. Electronic address: carmine.pizzi@unibo.it.

Nazzareno Galiè (N)

Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.

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Classifications MeSH