Impact of a dedicated cardiac protocol on diagnosis of infective endocarditis in patients undergoing [

Infective endocarditis dedicated cardiac protocol digital PET

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:
27 Jul 2024
Historique:
received: 04 04 2024
revised: 14 07 2024
accepted: 16 07 2024
medline: 30 7 2024
pubmed: 30 7 2024
entrez: 29 7 2024
Statut: aheadofprint

Résumé

This study aimed to assess the impact of dedicated cardiac protocol (DCP) on diagnostic accuracy of state-of-the-art digital [ 44 patients suspected for IE underwent digital-FDG-PET/CT after overnight fasting. Each three consultants and trainees reread PET-images blinded to examination approach and clinical information. Visual and semiquantitative analyses were performed. Digital-FDG-PET/CT with DCP revealed sensitivity, specificity and accuracy of 89%, 93% and 91% for native valve endocarditis (NVE) and 93%, 86% and 91% for prosthetic valve endocarditis. Compared to WBA, substantial improvement of the diagnostic performance for NVE in DCP was evident, especially in trainees, but not as high compared to consultants. Digital-FDG-PET/CT enabled 79.5% reclassification of modified-Duke-Clinical-Criteria (mDC) with 34.1% upgrading and 45.4% downgrading. This study provides new data using state-of-the-art digital-FDG-PET/CT with DCP improving the diagnostic accuracy in challenging cases of possible IE, particularly in NVE, provided that the investigators involved have the necessary expertise. These findings may have a significant impact on IE-related morbidity, mortality and patient's management and might be meaningful for updates of the prevailing opinion regarding the value of FDG PET/CT in NVE.

Sections du résumé

BACKGROUND BACKGROUND
This study aimed to assess the impact of dedicated cardiac protocol (DCP) on diagnostic accuracy of state-of-the-art digital [
METHODS METHODS
44 patients suspected for IE underwent digital-FDG-PET/CT after overnight fasting. Each three consultants and trainees reread PET-images blinded to examination approach and clinical information. Visual and semiquantitative analyses were performed.
RESULTS RESULTS
Digital-FDG-PET/CT with DCP revealed sensitivity, specificity and accuracy of 89%, 93% and 91% for native valve endocarditis (NVE) and 93%, 86% and 91% for prosthetic valve endocarditis. Compared to WBA, substantial improvement of the diagnostic performance for NVE in DCP was evident, especially in trainees, but not as high compared to consultants. Digital-FDG-PET/CT enabled 79.5% reclassification of modified-Duke-Clinical-Criteria (mDC) with 34.1% upgrading and 45.4% downgrading.
CONCLUSION CONCLUSIONS
This study provides new data using state-of-the-art digital-FDG-PET/CT with DCP improving the diagnostic accuracy in challenging cases of possible IE, particularly in NVE, provided that the investigators involved have the necessary expertise. These findings may have a significant impact on IE-related morbidity, mortality and patient's management and might be meaningful for updates of the prevailing opinion regarding the value of FDG PET/CT in NVE.

Identifiants

pubmed: 39074602
pii: S1071-3581(24)00686-X
doi: 10.1016/j.nuclcard.2024.102010
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102010

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Susan Notohamiprodjo (S)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany. Electronic address: s.notohamiprodjo@tum.de.

Klemens Scheidhauer (K)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany.

Matthias Eiber (M)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany.

Igor Yakushev (I)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany.

Alberto Villagran Asiares (AV)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany.

Julia Kraus-Deuringer (J)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany.

Helge Krebs-Fleischmann (H)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany.

Sebastian Kleiner (S)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany.

Robert Eggerstedt (R)

Department of Cardiovascular Diseases, TUM School of Medicine and Health, Munich, Germany.

Bettina Eglseder (B)

Department of Internal Medicine/Cardiology, Weilheim Hospital, Weilheim, Germany.

Wolfgang A Weber (WA)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany.

Stephan G Nekolla (SG)

Department of Nuclear Medicine, TUM School of Medicine and Health, Munich, Germany; German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany.

Classifications MeSH