Impact of coronary CT image quality on the accuracy of the FFR

Artifacts Coronary CT angiography FFRCT Image quality Percutaneous Coronary Intervention Planner

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Apr 2024
Historique:
received: 25 04 2023
accepted: 30 07 2023
revised: 03 07 2023
pubmed: 6 10 2023
medline: 6 10 2023
entrez: 5 10 2023
Statut: ppublish

Résumé

To assess the accuracy of a virtual stenting tool based on coronary CT angiography (CCTA) and fractional flow reserve (FFR) derived from CCTA (FFR Prospective, multicenter, single-arm study of patients with chronic coronary syndromes and lesions with FFR ≤ 0.80. All patients underwent CCTA performed with recent-generation scanners. CCTA image quality was adjudicated using the four-point Likert scale at a per-vessel level by an independent committee blinded to the FFR Overall, 120 patients (123 vessels) were included. Invasive post-PCI FFR was 0.88 ± 0.06 and Planner FFR The FFR Being accurate in predicting post-PCI FFR across a wide spectrum of CT image quality, the FFR • The fractional flow reserve derived from coronary CT angiography (FFR

Identifiants

pubmed: 37798406
doi: 10.1007/s00330-023-10228-8
pii: 10.1007/s00330-023-10228-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2677-2688

Informations de copyright

© 2023. The Author(s), under exclusive licence to European Society of Radiology.

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Auteurs

Daniele Andreini (D)

Clinical Cardiology and Cardiovascular Imaging Unit, Galeazzi-Sant'Ambrogio Hospital, IRCCS, Via Cristina Belgioioso 173, 20157, Milan, Italy. daniele.andreini@unimi.it.
Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy. daniele.andreini@unimi.it.

Marta Belmonte (M)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Martin Penicka (M)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.

Lieven Van Hoe (L)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.

Niya Mileva (N)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Medical University of Sofia, Sofia, Bulgaria.

Pasquale Paolisso (P)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Sakura Nagumo (S)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Department of Cardiology, Showa University Fujigaoka Hospital, Yokohama, Kanagawa, Japan.

Bjarne L Nørgaard (BL)

Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark.

Brian Ko (B)

Monash Cardiovascular Research Centre, Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia.

Hiromasa Otake (H)

Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.

Bon-Kwon Koo (BK)

Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.

Jesper Møller Jensen (JM)

Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark.

Takuya Mizukami (T)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Department of Cardiology, Showa University Fujigaoka Hospital, Yokohama, Kanagawa, Japan.

Daniel Munhoz (D)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Adam Updegrove (A)

HeartFlow Inc, Redwood City, USA.

Charles Taylor (C)

HeartFlow Inc, Redwood City, USA.

Jonathon Leipsic (J)

Department of Medicine and Radiology, University of British Columbia, Vancouver, BC, Canada.

Jeroen Sonck (J)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.

Bernard De Bruyne (B)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Department of Cardiology, Lausanne University Hospital, Lausanne, Switzerland.

Carlos Collet (C)

Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.

Classifications MeSH