Victor Mor-Avi1, Mita B Patel2, Francesco Maffessanti3, Amita Singh2, Diego Medvedofsky2, S Javed Zaidi4, Anuj Mediratta2, Akhil Narang2, Noreen Nazir2, Nadjia Kachenoura5, Roberto M Lang2, Amit R Patel2. 1. Section of Cardiology, University of Chicago Medicine, Chicago, Illinois. Electronic address: vmoravi@bsd.uchicago.edu. 2. Section of Cardiology, University of Chicago Medicine, Chicago, Illinois. 3. Section of Cardiology, University of Chicago Medicine, Chicago, Illinois; Università della Svizzera Italiana, Lugano, Switzerland. 4. Section of Cardiology, University of Chicago Medicine, Chicago, Illinois; Cardiology Department, Advocate Children's Hospital, Chicago, Illinois. 5. Sorbonne Universités, UPMC University Paris 06, CNRS 7371, INSERM 1146, Paris, France.
Abstract
BACKGROUND: Combined evaluation of coronary stenosis and the extent of ischemia is essential in patients with chest pain. Intermediate-grade stenosis on computed tomographic coronary angiography (CTCA) frequently triggers downstream nuclear stress testing. Alternative approaches without stress and/or radiation may have important implications. Myocardial strain measured from echocardiographic images can be used to detect subclinical dysfunction. The authors recently tested the feasibility of fusion of three-dimensional (3D) echocardiography-derived regional resting longitudinal strain with coronary arteries from CTCA to determine the hemodynamic significance of stenosis. The aim of the present study was to validate this approach against accepted reference techniques. METHODS: Seventy-eight patients with chest pain referred for CTCA who also underwent 3D echocardiography and regadenoson stress computed tomography were prospectively studied. Left ventricular longitudinal strain data (TomTec) were used to generate fused 3D displays and detect resting strain abnormalities (RSAs) in each coronary territory. Computed tomographic coronary angiographic images were interpreted for the presence and severity of stenosis. Fused 3D displays of subendocardial x-ray attenuation were created to detect stress perfusion defects (SPDs). In patients with stenosis >25% in at least one artery, fractional flow reserve was quantified (HeartFlow). RSA as a marker of significant stenosis was validated against two different combined references: stenosis >50% on CTCA and SPDs seen in the same territory (reference standard A) and fractional flow reserve < 0.80 and SPDs in the same territory (reference standard B). RESULTS: Of the 99 arteries with no stenosis >50% and no SPDs, considered as normal, 19 (19%) had RSAs. Conversely, with stenosis >50% and SPDs, RSAs were considerably more frequent (17 of 24 [71%]). The sensitivity, specificity, and accuracy of RSA were 0.71, 0.81, and 0.79, respectively, against reference standard A and 0.83, 0.81, and 0.82 against reference standard B. CONCLUSIONS: Fusion of CTCA and 3D echocardiography-derived resting myocardial strain provides combined displays, which may be useful in determination of the hemodynamic or functional impact of coronary abnormalities, without additional ionizing radiation or stress testing.
BACKGROUND: Combined evaluation of coronary stenosis and the extent of ischemia is essential in patients with chest pain. Intermediate-grade stenosis on computed tomographic coronary angiography (CTCA) frequently triggers downstream nuclear stress testing. Alternative approaches without stress and/or radiation may have important implications. Myocardial strain measured from echocardiographic images can be used to detect subclinical dysfunction. The authors recently tested the feasibility of fusion of three-dimensional (3D) echocardiography-derived regional resting longitudinal strain with coronary arteries from CTCA to determine the hemodynamic significance of stenosis. The aim of the present study was to validate this approach against accepted reference techniques. METHODS: Seventy-eight patients with chest pain referred for CTCA who also underwent 3D echocardiography and regadenoson stress computed tomography were prospectively studied. Left ventricular longitudinal strain data (TomTec) were used to generate fused 3D displays and detect resting strain abnormalities (RSAs) in each coronary territory. Computed tomographic coronary angiographic images were interpreted for the presence and severity of stenosis. Fused 3D displays of subendocardial x-ray attenuation were created to detect stress perfusion defects (SPDs). In patients with stenosis >25% in at least one artery, fractional flow reserve was quantified (HeartFlow). RSA as a marker of significant stenosis was validated against two different combined references: stenosis >50% on CTCA and SPDs seen in the same territory (reference standard A) and fractional flow reserve < 0.80 and SPDs in the same territory (reference standard B). RESULTS: Of the 99 arteries with no stenosis >50% and no SPDs, considered as normal, 19 (19%) had RSAs. Conversely, with stenosis >50% and SPDs, RSAs were considerably more frequent (17 of 24 [71%]). The sensitivity, specificity, and accuracy of RSA were 0.71, 0.81, and 0.79, respectively, against reference standard A and 0.83, 0.81, and 0.82 against reference standard B. CONCLUSIONS: Fusion of CTCA and 3D echocardiography-derived resting myocardial strain provides combined displays, which may be useful in determination of the hemodynamic or functional impact of coronary abnormalities, without additional ionizing radiation or stress testing.
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: Arthur Nasis; Brian S Ko; Michael C Leung; Paul R Antonis; Dee Nandurkar; Dennis T Wong; Leo Kyi; James D Cameron; John M Troupis; Ian T Meredith; Sujith K Seneviratne Journal: Eur Radiol Date: 2013-02-21 Impact factor: 5.315
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: Matthias Renker; U Joseph Schoepf; Rui Wang; Felix G Meinel; Jeremy D Rier; Richard R Bayer; Helge Möllmann; Christian W Hamm; Daniel H Steinberg; Stefan Baumann Journal: Am J Cardiol Date: 2014-08-12 Impact factor: 2.778
Authors: John C Stendahl; Nripesh Parajuli; Allen Lu; Nabil E Boutagy; Nicole Guerrera; Imran Alkhalil; Ben A Lin; Lawrence H Staib; Matthew O'Donnell; James S Duncan; Albert J Sinusas Journal: Cardiovasc Ultrasound Date: 2020-01-15 Impact factor: 2.062