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Impact of coronary CT image quality on the accuracy of the FFRCT Planner.
Andreini, Daniele; Belmonte, Marta; Penicka, Martin; Van Hoe, Lieven; Mileva, Niya; Paolisso, Pasquale; Nagumo, Sakura; Nørgaard, Bjarne L; Ko, Brian; Otake, Hiromasa; Koo, Bon-Kwon; Jensen, Jesper Møller; Mizukami, Takuya; Munhoz, Daniel; Updegrove, Adam; Taylor, Charles; Leipsic, Jonathon; Sonck, Jeroen; De Bruyne, Bernard; Collet, Carlos.
Afiliação
  • Andreini D; Clinical Cardiology and Cardiovascular Imaging Unit, Galeazzi-Sant'Ambrogio Hospital, IRCCS, Via Cristina Belgioioso 173, 20157, Milan, Italy. daniele.andreini@unimi.it.
  • Belmonte M; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy. daniele.andreini@unimi.it.
  • Penicka M; Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
  • Van Hoe L; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
  • Mileva N; Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
  • Paolisso P; Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
  • Nagumo S; Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
  • Nørgaard BL; Medical University of Sofia, Sofia, Bulgaria.
  • Ko B; Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
  • Otake H; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
  • Koo BK; Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
  • Jensen JM; Department of Cardiology, Showa University Fujigaoka Hospital, Yokohama, Kanagawa, Japan.
  • Mizukami T; Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
  • Munhoz D; Monash Cardiovascular Research Centre, Monash University and Monash Heart, Monash Health, Clayton, VIC, Australia.
  • Updegrove A; Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
  • Taylor C; Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, Seoul, Korea.
  • Leipsic J; Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark.
  • Sonck J; Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
  • De Bruyne B; Department of Cardiology, Showa University Fujigaoka Hospital, Yokohama, Kanagawa, Japan.
  • Collet C; Cardiovascular Center Aalst, OLV Clinic, Aalst, Belgium.
Eur Radiol ; 34(4): 2677-2688, 2024 Apr.
Article em En | MEDLINE | ID: mdl-37798406
ABSTRACT

OBJECTIVE:

To assess the accuracy of a virtual stenting tool based on coronary CT angiography (CCTA) and fractional flow reserve (FFR) derived from CCTA (FFRCT Planner) across different levels of image quality. MATERIALS AND

METHODS:

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 FFRCT Planner. Patient- and technical-related factors that could affect the FFRCT Planner accuracy were evaluated. The FFRCT Planner was applied mirroring percutaneous coronary intervention (PCI) to determine the agreement with invasively measured post-PCI FFR.

RESULTS:

Overall, 120 patients (123 vessels) were included. Invasive post-PCI FFR was 0.88 ± 0.06 and Planner FFRCT was 0.86 ± 0.06 (mean difference 0.02 FFR units, the lower limit of agreement (LLA) - 0.12, upper limit of agreement (ULA) 0.15). CCTA image quality was assessed as excellent (Likert score 4) in 48.3%, good (Likert score 3) in 45%, and sufficient (Likert score 2) in 6.7% of patients. The FFRCT Planner was accurate across different levels of image quality with a mean difference between FFRCT Planner and invasive post-PCI FFR of 0.02 ± 0.07 in Likert score 4, 0.02 ± 0.07 in Likert score 3 and 0.03 ± 0.08 in Likert score 2, p = 0.695. Nitrate dose ≥ 0.8mg was the only independent factor associated with the accuracy of the FFRCT Planner (95%CI - 0.06 to - 0.001, p = 0.040).

CONCLUSION:

The FFRCT Planner was accurate in predicting post-PCI FFR independent of CCTA image quality. CLINICAL RELEVANCE STATEMENT Being accurate in predicting post-PCI FFR across a wide spectrum of CT image quality, the FFRCT Planner could potentially enhance and guide the invasive treatment. Adequate vasodilation during CT acquisition is relevant to improve the accuracy of the FFRCT Planner. KEY POINTS • The fractional flow reserve derived from coronary CT angiography (FFRCT) Planner is a novel tool able to accurately predict fractional flow reserve after percutaneous coronary intervention. • The accuracy of the FFRCT Planner was confirmed across a wide spectrum of CT image quality. Nitrates dose at CT acquisition was the only independent predictor of its accuracy. • The FFRCT Planner could potentially enhance and guide the invasive treatment.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Estenose Coronária / Reserva Fracionada de Fluxo Miocárdico / Intervenção Coronária Percutânea Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Estenose Coronária / Reserva Fracionada de Fluxo Miocárdico / Intervenção Coronária Percutânea Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Humans Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália