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      Recent Advances in Noninvasive Cardiac Imaging

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      Cardiovascular Innovations and Applications
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            In the last several years, the rate of innovation in cardiac imaging techniques has accelerated significantly. Advances have been seen in all 4 major modalities; echocardiography, nuclear (positron emission tomography (PET) and single photon emission computed tomography (SPECT), cardiac magnetic resonance imaging (CMR), and computed tomographic angiography (CTA). This issue of Cardiovascular Innovations and Applications will highlight many of these advances.

            In echocardiography, strain imaging has made major inroads from a research perspective and now is doing the same in the clinic. In a number of clinical scenarios, speckle tracking strain measures, especially global longitudinal strain, adds prognostic information over and above ejection fraction [1]. This has been shown in acute MI [2], heart failure [3], valvular heart disease [4], and a number of other cardiac conditions. This is highlighted in the article authored by Hyunh and Marwick in the present issue [5]. Imaging of mechanical and electrical dyssynchrony with strain echocardiography is another important recent advance. The multi-center PROSPECT trial enrolled 498 patients in 53 centers and tested 12 echocardiographic markers of dyssynchrony using a blinded core laboratory analysis [6]. Due in part to a lack of reproducibility of the large number of markers tested, the predictive value for clinical or LV volume response to cardiac resynchronization therapy was modest. Since the publication of this study, newer more specific markers of electromechanical dyscoordination in heart failure are being applied [7] and these are reviewed in the manuscript by Gorcsan [8].

            In regards to advances in nuclear cardiology, several recent developments are highlighted in the reviews on SPECT by Slomka and colleagues [9] and on PET by Galazka and Di Carli [10]. In SPECT imaging, gamma camera advances including solid state detectors and more accurate detectors are leading to improved accuracy with reduced time, radiation, and cost [11]. Newer imaging agents that remain under study for PET include 18F-flurpiridaz [12]. The ability to quantify perfusion is a major strength of PET in comparison to SPECT. Increasingly, evidence points to the prognostic importance of myocardial flow reserve as measured by PET [13]. Limitations of its application remain availability and cost [11].

            CMR is expanding in clinical use around the globe. Its application and growth in China is reviewed by Chen et al. in the present issue [14]. One if the newest developments in clinical CMR is the application of T1 mapping. Measuring the T1 of the myocardium without contrast or so called native T1 is particularly useful for identifying amyloidosis [15], especially in those with severe renal disease. The extracellular volume (ECV) of the myocardium can be measured by making T1 measurements before and after infusion of gadolinium-based contrast agents. ECV is elevated in the setting of interstitial fibrosis such as in hypertensive LVH [16] as well as myocardial inflammation and edema as in myocarditis [17]. Olausson and Schelbert review the many potential diagnostic and prognostic applications of T1 mapping in this issue [18]. Coronary MR angiography has been one of the last applications of CMR to make clinical inroads as the spatial resolution remains inferior to that of CTA. However, improvements continue to be made and these are highlighted in the review by Xie et al. in this issue [19]. Their manuscript also examines the ability of CMR to examine plaque in the coronary wall.

            Calcium scoring by CT remains the most important marker of cardiovascular risk in terms of reclassification over and above Framingham risk markers. Matt Budoff and colleagues review the latest information regarding the state of Calcium scoring in 2017 [20]. The newest advances in CTA are in the realm of measuring fractional flow reserve (FFR) from angiography. This has been studied in several multi-center trials recently such as NXT [21] and PLATFORM [22]. These have shown high diagnostic accuracy of the technique when compared to invasively measured FFR as well as equivalent clinical outcomes and quality and lower costs compared to usual care. Perfusion imaging combined with CTA also has an increasing role in the assessment of coronary artery disease. The CORE320 study showed high patient-based accuracy for identifying a >50% stenosis identified by X-ray angiography with a corresponding SPECT perfusion defect [23]. The group of James Min MD review the use of FFR and CT perfusion studies in clinical practice as well as the growing prognostic role of coronary CTA in 2 distinct papers [24, 25].

            In summary, the last few years have brought significant advances in the capabilities of cardiovascular imaging for making diagnoses and assessing prognosis in cardiovascular disease. Along with institution of the increasing number of guidelines for appropriate use of cardiovascular imaging [26, 27], the care of the cardiovascular patient will continue to steadily improve.

            References

            1. KalamK, OtahalP, MarwickTH. Prognostic implications of global LV dysfunction: a systematic review and meta-analysis of global longitudinal strain and ejection fraction. Heart 2014;100:167380.

            2. ErsbollM, ValeurN, MogensenUM, AndersenMJ, MollerJE, VelazquezEJ, et al. Prediction of all-cause mortality and heart failure admissions from global left ventricular longitudinal strain in patients with acute myocardial infarction and preserved left ventricular ejection fraction. J Am Coll Cardiol 2013;61:236573.

            3. NahumJ, BensaidA, DussaultC, MacronL, ClemenceD, BouhemadB, et al. Impact of longitudinal myocardial deformation on the prognosis of chronic heart failure patients. Circ Cardiovasc Imaging 2010;3:24956.

            4. YingchoncharoenT, GibbyC, RodriguezLL, GrimmRA, MarwickTH. Association of myocardial deformation with outcome in asymptomatic aortic stenosis with normal ejection fraction. Circ Cardiovasc Imaging 2012;5:71925.

            5. HuynhQL, MarwickTH. Echocardiographic measures of strain and prognosis. Cardiovasc Innov Appl 2017;2:518.

            6. ChungES, LeonAR, TavazziL, SunJP, NihoyannopoulosP, MerlinoJ, et al. Results of the predictors of response to CRT (PROSPECT) trial. Circulation 2008;117:260816.

            7. LumensJ, TayalB, WaimsleyJ, Delgado-MonteroA, HuntjiensPR, SchwartzmanD, et al. Differentiating electromechanical from non-electrical substrates of mechanical discoordination to identify responders to cardiac resynchronization therapy. Circ Cardiovasc Imaging 2015;8:e003744.

            8. GorcsanJ. Prognostic implications of echocardiographic left ventricular dyssynchrony. Cardiovasc Innov Appl 2017;2:1930.

            9. SlomkaP, HungG-U, GermanoG, BermanDS. Novel SPECT technologies and approaches in cardiac imaging. Cardiovasc Innov Appl 2017;2:3146.

            10. GalazkaP, Di CarliMF. Cardiac PET/CT and prognosis. Cardiovasc Innov Appl 2017;2:4759.

            11. UnderwoodSR, de BondtP, FlotatsA, MarcasaC, PintoF, SchaeferW, et al. The current and future status of nuclear cardiology: a consensus report. Eur Heart J Cardiovasc Imaging 2014;15:949.

            12. BermanDS, GermanoG, SlomkaPJ. Improvement in PET myocardial perfusion image quality and quantification with flurpiridaz F 18. J Nucl Cardiol 2012;19:3845.

            13. TaquetiVR, Di CarliMF. Clinical significance of noninvasive coronary flow reserve assessment in patients with ischemic heart disease. Curr Opin Cardiol 2016;31:6629.

            14. ChenS, ZhangQ, ChenY. The role of clinical cardiac magnetic resonance imaging in China: current status and the future. Cardiovasc Innov Appl 2017;2:6171.

            15. KaramitsosTD, PiechnikSK, BanypersadSM, FontanaM, NtusiNB, FerreiraVM, et al. Noncontrast T1 mapping for the diagnosis of cardiac amyloidosis. JACC Cardiovasc Imaging 2013;6:48897.

            16. KuruvillaS, JanardhananR, AntkowiakP, KeeleyEC, AdenawN, BrooksJ, et al. Increased extracellular volume and altered mechanics are associated With LVH in hypertensive heart disease, not hypertension alone. JACC Cardiovasc Imaging 2015;8:17280.

            17. FerreiraVM, PiechnikSK, Dall’ArmellinaE, KaramitsosTD, FrancisJM, NtusiN, et al. T1 mapping for the diagnosis of acute myocarditis using CMR: comparison to T2-weighted and late gadolinium enhanced imaging. JACC Cardiovasc Imaging 2013;6:104858.

            18. OlaussonEL, SchelbertEB. T1 and ECV mapping in myocardial disease. Cardiovasc Innov Appl 2017;2:7384.

            19. XieY, PangJ, YangQ, LiD. Magnetic resonance imaging of coronary arteries: Latest technical innovations and clinical experiences. Cardiovasc Innov Appl 2017;2:8599.

            20. OsawaK, NakanishiR, BudoffM. Coronary calcium scoring in 2017. Cardiovasc Innov Appl 2017;2:10110.

            21. NorgaardBL, LeipsicJ, GaurS, SeneviratneS, KoBS, ItoH, et al. Diagnostic performance of noninvasive fractional flow reserve derived from coronary-ácomputed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). J Am Coll Cardiol 2014;63:114555.

            22. DouglasPS, De BruyneB, PontoneG, PatelMR, NorgaardBL, ByrneRA, et al. 1-Year Outcomes of FFRCT-guided care in patients with suspected coronary disease: the PLATFORM study. J Am Coll Cardiol 2016;68:43545.

            23. RochitteCE, GeorgeRT, ChenMY, Arbab-ZadehA, DeweyM, MillerJM, et al. Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study. Eur Heart J 2014;35:1120.

            24. RoudsariHM, HanD, ó HartaighB, LeeJH, RizviA, ParkM-w, LuB, LinFY, MinJK. Novel approaches for the use of cardiac/coronary computed tomography angiography. Cardiovasc Innov Appl 2017;2:11123.

            25. RizviA, LeeJH, ó HartaighB, HanD, ParkMW, RousdariHM, et al. Fractional flow reserve measurement by coronary computed tomography angiography: a review with future directions. Cardiovasc Innov Appl 2017;2:12535.

            26. WolkMJ, BaileySR, DohertyJU, DouglasPS, HendelRC, KramerCM, et al. ACCF/AHA/ASE/ASNC/HFSA/HRS/SCAI/SCCT/SCMR/STS 2013 multimodality appropriate use criteria for the detection and risk assessment of stable ischemic heart disease: a report of the American College of Cardiology Foundation appropriate use criteria task force, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Failure Society of America, Heart Rhythm Society, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, and Society of Thoracic Surgeons. J Am Coll Cardiol 2014;63:380406.

            27. CarrJJ, HendelRC, WhiteRD, PatelMR, WolkMJ, BettmannMA, et al. Appropriate utilization of cardiovascular imaging: a methodology for the development of joint criteria for the appropriate utilization of cardiovascular imaging by the American College of Cardiology Foundation and American College of Radiology. J Am Coll Cardiol 2013;61:2199206.

            Author and article information

            Journal
            CVIA
            Cardiovascular Innovations and Applications
            CVIA
            Compuscript (Ireland )
            2009-8782
            2009-8618
            December 2016
            March 2017
            : 2
            : 1
            : 1-3
            Affiliations
            [1] 1University of Virginia Health System, Charlottesville, VA, USA
            Author notes
            Correspondence: Christopher M. Kramer, MD, Cardiovascular Division, Department of Medicine, the Department of Radiology and Medical Imaging, and the Cardiovascular Imaging Center, University of Virginia Health System, Lee Street, Box 800170, Charlottesville, VA 22908, USA, Tel.: (434) 243-0736, Fax: (434) 982-1998, E-mail: ckramer@ 123456virginia.edu
            Article
            cvia20160040
            10.15212/CVIA.2016.0040
            8bd89682-2f7d-4b07-9d7e-faf17e76c3fb
            Copyright © 2017 Cardiovascular Innovations and Applications

            This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License (CC BY-NC 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc/4.0/.

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