AIMS: Abnormal computed tomography coronary angiography (CTCA) often leads to stress testing to determine haemodynamic significance of stenosis. We hypothesized that instead, this could be achieved by fusion imaging of the coronary anatomy with 3D echocardiography (3DE)-derived resting myocardial deformation. METHODS AND RESULTS: We developed fusion software that creates combined 3D displays of the coronary arteries with colour maps of longitudinal strain and tested it in 28 patients with chest pain, referred for CTCA (256 Philips scanner) who underwent 3DE (Philips iE33) and regadenoson stress CT. To obtain a reference for stenosis significance, coronaries were also fused with colour maps of stress myocardial perfusion. 3D displays were used to detect stress perfusion defect (SPD) and/or resting strain abnormality (RSA) in each territory. CTCA showed 56 normal arteries, stenosis <50% in 17, and >50% in 8 arteries. Of the 81 coronary territories, SPDs were noted in 20 and RSAs in 29. Of the 59 arteries with no stenosis >50% and no SPDs, considered as normal, 12 (20%) had RSAs. Conversely, with stenosis >50% and SPDs (haemodynamically significant), RSAs were considerably more frequent (5/6 = 83%). Overall, resting strain and stress perfusion findings were concordant in 64/81 arteries (79% agreement). CONCLUSIONS: Fusion of CTCA and 3DE-derived data allows direct visualization of each coronary artery and strain in its territory. In this feasibility study, resting strain showed good agreement with stress perfusion, indicating that it may be potentially used to assess haemodynamic impact of coronary stenosis, as an alternative to stress testing that entails additional radiation exposure. Published on behalf of the European Society of Cardiology. All rights reserved.
AIMS: Abnormal computed tomography coronary angiography (CTCA) often leads to stress testing to determine haemodynamic significance of stenosis. We hypothesized that instead, this could be achieved by fusion imaging of the coronary anatomy with 3D echocardiography (3DE)-derived resting myocardial deformation. METHODS AND RESULTS: We developed fusion software that creates combined 3D displays of the coronary arteries with colour maps of longitudinal strain and tested it in 28 patients with chest pain, referred for CTCA (256 Philips scanner) who underwent 3DE (Philips iE33) and regadenoson stress CT. To obtain a reference for stenosis significance, coronaries were also fused with colour maps of stress myocardial perfusion. 3D displays were used to detect stress perfusion defect (SPD) and/or resting strain abnormality (RSA) in each territory. CTCA showed 56 normal arteries, stenosis <50% in 17, and >50% in 8 arteries. Of the 81 coronary territories, SPDs were noted in 20 and RSAs in 29. Of the 59 arteries with no stenosis >50% and no SPDs, considered as normal, 12 (20%) had RSAs. Conversely, with stenosis >50% and SPDs (haemodynamically significant), RSAs were considerably more frequent (5/6 = 83%). Overall, resting strain and stress perfusion findings were concordant in 64/81 arteries (79% agreement). CONCLUSIONS: Fusion of CTCA and 3DE-derived data allows direct visualization of each coronary artery and strain in its territory. In this feasibility study, resting strain showed good agreement with stress perfusion, indicating that it may be potentially used to assess haemodynamic impact of coronary stenosis, as an alternative to stress testing that entails additional radiation exposure. Published on behalf of the European Society of Cardiology. All rights reserved.
Authors: Brian S Ko; James D Cameron; Ian T Meredith; Michael Leung; Paul R Antonis; Arthur Nasis; Marcus Crossett; Sarah A Hope; Sam J Lehman; John Troupis; Tony DeFrance; Sujith K Seneviratne Journal: Eur Heart J Date: 2011-08-02 Impact factor: 29.983
Authors: Richard T George; Caterina Silva; Marco A S Cordeiro; Anthony DiPaula; Douglas R Thompson; William F McCarthy; Takashi Ichihara; Joao A C Lima; Albert C Lardo Journal: J Am Coll Cardiol Date: 2006-06-21 Impact factor: 24.094
Authors: Victor Mor-Avi; Joseph A Lodato; Nadjia Kachenoura; Sonal Chandra; Benjamin H Freed; Barbara Newby; Roberto M Lang; Amit R Patel Journal: J Comput Assist Tomogr Date: 2012 Jul-Aug Impact factor: 1.826
Authors: Richard T George; Armin Arbab-Zadeh; Rodrigo J Cerci; Andrea L Vavere; Kakuya Kitagawa; Marc Dewey; Carlos E Rochitte; Andrew E Arai; Narinder Paul; Frank J Rybicki; Albert C Lardo; Melvin E Clouse; Joao A C Lima Journal: AJR Am J Roentgenol Date: 2011-10 Impact factor: 3.959
Authors: Pim A L Tonino; William F Fearon; Bernard De Bruyne; Keith G Oldroyd; Massoud A Leesar; Peter N Ver Lee; Philip A Maccarthy; Marcel Van't Veer; Nico H J Pijls Journal: J Am Coll Cardiol Date: 2010-06-22 Impact factor: 24.094
Authors: Oliver Gaemperli; Tiziano Schepis; Victor Kalff; Mehdi Namdar; Ines Valenta; Laurent Stefani; Lotus Desbiolles; Sebastian Leschka; Lars Husmann; Hatem Alkadhi; Philipp A Kaufmann Journal: Eur J Nucl Med Mol Imaging Date: 2007-01-24 Impact factor: 9.236
Authors: Jose A Rocha-Filho; Ron Blankstein; Leonid D Shturman; Hiram G Bezerra; David R Okada; Ian S Rogers; Brian Ghoshhajra; Udo Hoffmann; Gudrun Feuchtner; Wilfred S Mamuya; Thomas J Brady; Ricardo C Cury Journal: Radiology Date: 2010-02 Impact factor: 11.105
Authors: Akhil Narang; Victor Mor-Avi; Aldo Prado; Valentina Volpato; David Prater; Gloria Tamborini; Laura Fusini; Mauro Pepi; Neha Goyal; Karima Addetia; Alexandra Gonçalves; Amit R Patel; Roberto M Lang Journal: Eur Heart J Cardiovasc Imaging Date: 2019-05-01 Impact factor: 6.875
Authors: Victor Mor-Avi; Mita B Patel; Francesco Maffessanti; Amita Singh; Diego Medvedofsky; S Javed Zaidi; Anuj Mediratta; Akhil Narang; Noreen Nazir; Nadjia Kachenoura; Roberto M Lang; Amit R Patel Journal: J Am Soc Echocardiogr Date: 2018-03-22 Impact factor: 5.251
Authors: Amit R Patel; Francesco Maffessanti; Mita B Patel; Kalie Kebed; Akhil Narang; Amita Singh; Diego Medvedofsky; S Javed Zaidi; Anuj Mediratta; Neha Goyal; Nadjia Kachenoura; Roberto M Lang; Victor Mor-Avi Journal: Int J Cardiovasc Imaging Date: 2019-05-09 Impact factor: 2.357