Aims Hybrid imaging provides a non-invasive assessment of coronary anatomy and myocardial perfusion. We sought to evaluate the added clinical value of hybrid imaging in a multi-centre multi-vendor setting. Methods and results Fourteen centres enrolled 252 patients with stable angina and intermediate (20-90%) pre-test likelihood of coronary artery disease (CAD) who underwent myocardial perfusion scintigraphy (MPS), CT coronary angiography (CTCA), and quantitative coronary angiography (QCA) with fractional flow reserve (FFR). Hybrid MPS/CTCA images were obtained by 3D image fusion. Blinded core-lab analyses were performed for CTCA, MPS, QCA and hybrid datasets. Hemodynamically significant CAD was ruled-in non-invasively in the presence of a matched finding (myocardial perfusion defect colocalized with stenosed coronary artery) and ruled-out with normal findings (both CTCA and MPS normal). Overall prevalence of significant CAD on QCA (.70% stenosis or 30-70% with FFR≤0.80) was 37%. Of 1004 pathological myocardial segments on MPS, 246 (25%) were reclassified from their standard coronary distribution to another territory by hybrid imaging. In this respect, in 45/252 (18%) patients, hybrid imaging reassigned an entire perfusion defect to another coronary territory, changing the final diagnosis in 42% of the cases. Hybrid imaging allowed non-invasive CAD rule-out in 41%, and rule-in in 24% of patients, with a negative and positive predictive value of 88% and 87%, respectively. Conclusion In patients at intermediate risk of CAD, hybrid imaging allows non-invasive co-localization of myocardial perfusion defects and subtending coronary arteries, impacting clinical decision-making in almost one every five subjects. ------------------------------------------------------------------------------------------------------------------------------- ------------------------

Multicentre multi-device hybrid imaging study of coronary artery disease: Results from the EValuation of INtegrated Cardiac Imaging for the Detection and Characterization of Ischaemic Heart Disease (EVINCI) hybrid imaging population / Liga, Riccardo; Vontobel, Jan; Rovai, Daniele; Marinelli, Martina; Caselli, Chiara; Pietila, Mikko; Teresinska, Anna; Aguadé-Bruix, Santiago; Pizzi, Maria Nazarena; Todiere, Giancarlo; Gimelli, Alessia; Chiappino, Dante; Marraccini, Paolo; Schroeder, Stephen; Drosch, Tanja; Poddighe, Rosa; Casolo, Giancarlo; Anagnostopoulos, Constantinos; Pugliese, Francesca; Rouzet, Francois; Le Guludec, Dominique; Cappelli, Francesco; Valente, Serafina; Gensini, Gian Franco; Zawaideh, Camilla; Capitanio, Selene; Sambuceti, Gianmario; Marsico, Fabio; Filardi, Pasquale Perrone; Fernández-Golfn, Covadonga; Rincón, Luis M.; Graner, Frank P.; De Graaf, Michiel A.; Stehli, Julia; Reyes, Eliana; Nkomo, Sandy; Mäki, Maija; Lorenzoni, Valentina; Turchetti, Giuseppe; Carpeggiani, Clara; Puzzuoli, Stefano; Mangione, Maurizio; Marcheschi, Paolo; Giannessi, Daniela; Nekolla, Stephan; Lombardi, Massimo; Sicari, Rosa; Scholte, Arthur J. H. A.; Zamorano, Jose L.; Underwood, S. Richard; Knuuti, Juhani; Kaufmann, Philipp A.; Neglia, Danilo; Gaemperli, Oliver. - In: EUROPEAN HEART JOURNAL. CARDIOVASCULAR IMAGING. - ISSN 2047-2404. - 17:9(2016), pp. 951-960. [10.1093/ehjci/jew038]

Multicentre multi-device hybrid imaging study of coronary artery disease: Results from the EValuation of INtegrated Cardiac Imaging for the Detection and Characterization of Ischaemic Heart Disease (EVINCI) hybrid imaging population

Marsico, Fabio
Membro del Collaboration Group
;
Filardi, Pasquale Perrone
Membro del Collaboration Group
;
2016

Abstract

Aims Hybrid imaging provides a non-invasive assessment of coronary anatomy and myocardial perfusion. We sought to evaluate the added clinical value of hybrid imaging in a multi-centre multi-vendor setting. Methods and results Fourteen centres enrolled 252 patients with stable angina and intermediate (20-90%) pre-test likelihood of coronary artery disease (CAD) who underwent myocardial perfusion scintigraphy (MPS), CT coronary angiography (CTCA), and quantitative coronary angiography (QCA) with fractional flow reserve (FFR). Hybrid MPS/CTCA images were obtained by 3D image fusion. Blinded core-lab analyses were performed for CTCA, MPS, QCA and hybrid datasets. Hemodynamically significant CAD was ruled-in non-invasively in the presence of a matched finding (myocardial perfusion defect colocalized with stenosed coronary artery) and ruled-out with normal findings (both CTCA and MPS normal). Overall prevalence of significant CAD on QCA (.70% stenosis or 30-70% with FFR≤0.80) was 37%. Of 1004 pathological myocardial segments on MPS, 246 (25%) were reclassified from their standard coronary distribution to another territory by hybrid imaging. In this respect, in 45/252 (18%) patients, hybrid imaging reassigned an entire perfusion defect to another coronary territory, changing the final diagnosis in 42% of the cases. Hybrid imaging allowed non-invasive CAD rule-out in 41%, and rule-in in 24% of patients, with a negative and positive predictive value of 88% and 87%, respectively. Conclusion In patients at intermediate risk of CAD, hybrid imaging allows non-invasive co-localization of myocardial perfusion defects and subtending coronary arteries, impacting clinical decision-making in almost one every five subjects. ------------------------------------------------------------------------------------------------------------------------------- ------------------------
2016
Multicentre multi-device hybrid imaging study of coronary artery disease: Results from the EValuation of INtegrated Cardiac Imaging for the Detection and Characterization of Ischaemic Heart Disease (EVINCI) hybrid imaging population / Liga, Riccardo; Vontobel, Jan; Rovai, Daniele; Marinelli, Martina; Caselli, Chiara; Pietila, Mikko; Teresinska, Anna; Aguadé-Bruix, Santiago; Pizzi, Maria Nazarena; Todiere, Giancarlo; Gimelli, Alessia; Chiappino, Dante; Marraccini, Paolo; Schroeder, Stephen; Drosch, Tanja; Poddighe, Rosa; Casolo, Giancarlo; Anagnostopoulos, Constantinos; Pugliese, Francesca; Rouzet, Francois; Le Guludec, Dominique; Cappelli, Francesco; Valente, Serafina; Gensini, Gian Franco; Zawaideh, Camilla; Capitanio, Selene; Sambuceti, Gianmario; Marsico, Fabio; Filardi, Pasquale Perrone; Fernández-Golfn, Covadonga; Rincón, Luis M.; Graner, Frank P.; De Graaf, Michiel A.; Stehli, Julia; Reyes, Eliana; Nkomo, Sandy; Mäki, Maija; Lorenzoni, Valentina; Turchetti, Giuseppe; Carpeggiani, Clara; Puzzuoli, Stefano; Mangione, Maurizio; Marcheschi, Paolo; Giannessi, Daniela; Nekolla, Stephan; Lombardi, Massimo; Sicari, Rosa; Scholte, Arthur J. H. A.; Zamorano, Jose L.; Underwood, S. Richard; Knuuti, Juhani; Kaufmann, Philipp A.; Neglia, Danilo; Gaemperli, Oliver. - In: EUROPEAN HEART JOURNAL. CARDIOVASCULAR IMAGING. - ISSN 2047-2404. - 17:9(2016), pp. 951-960. [10.1093/ehjci/jew038]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/722281
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