de Carvalho FP, Azevedo CF (2020) Comprehensive assessment of endomyocardial fibrosis with cardiac MRI: morphology, function, and tissue characterization. Radiographics 40:336–353. https://doi.org/10.1148/rg.2020190148
Mahrholdt H, Wagner A, Judd RM et al (2005) Delayed enhancement cardiovascular magnetic resonance assessment of non-ischaemic cardiomyopathies. Eur Heart J 26:1461–1474. https://doi.org/10.1093/eurheartj/ehi258
Arbelo E, Protonotarios A, Gimeno JR et al (2023) 2023 ESC Guidelines for the management of cardiomyopathies. Eur Heart J 44:3503–3626. https://doi.org/10.1093/eurheartj/ehad194
Article CAS PubMed Google Scholar
Tamarappoo B, Han D, Tyler J et al (2020) Prognostic Value of computed tomography-derived extracellular volume in TAVR patients with low-flow low-gradient aortic stenosis. JACC Cardiovasc Imaging 13:2591–2601. https://doi.org/10.1016/j.jcmg.2020.07.045
Article PubMed PubMed Central Google Scholar
Amzulescu MS, De Craene M, Langet H et al (2019) Myocardial strain imaging: review of general principles, validation, and sources of discrepancies. Eur Heart J Cardiovasc Imaging 20:605–619. https://doi.org/10.1093/ehjci/jez041
Article CAS PubMed PubMed Central Google Scholar
Fischer K, Obrist SJ, Erne SA et al (2020) Feature tracking myocardial strain incrementally improves prognostication in myocarditis beyond traditional CMR imaging features. JACC Cardiovasc Imaging 13:1891–1901. https://doi.org/10.1016/j.jcmg.2020.04.025
Bernhard B, Grogg H, Zurkirchen J et al (2022) Reproducibility of 4D cardiac computed tomography feature tracking myocardial strain and comparison against speckle-tracking echocardiography in patients with severe aortic stenosis. J Cardiovasc Comput Tomogr 16:309–318. https://doi.org/10.1016/j.jcct.2022.01.003
Park JJ, Park J-B, Park J-H, Cho G-Y (2018) Global longitudinal strain to predict mortality in patients with acute heart failure. J Am Coll Cardiol 71:1947–1957. https://doi.org/10.1016/j.jacc.2018.02.064
Kalam K, Otahal P, Marwick TH (2014) Prognostic implications of global LV dysfunction: a systematic review and meta-analysis of global longitudinal strain and ejection fraction. Heart 100:1673–1680. https://doi.org/10.1136/heartjnl-2014-305538
Lisi C, Catapano F, Rondi P et al (2023) Multimodality imaging in cardio-oncology: the added value of CMR and CCTA. Br J Radiol 96:20220999. https://doi.org/10.1259/bjr.20220999
Article PubMed PubMed Central Google Scholar
Cundari G, Marchitelli L, Pambianchi G et al (2024) Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment. Radiol Med 129:380–400. https://doi.org/10.1007/s11547-024-01771-5
Article PubMed PubMed Central Google Scholar
Bernhard B, Leib Z, Dobner S et al (2023) Routine 4D cardiac CT to identify concomitant transthyretin amyloid cardiomyopathy in older adults with severe aortic stenosis. Radiology 309:e230425. https://doi.org/10.1148/radiol.230425
Andreini D, Conte E, Mushtaq S et al (2023) Comprehensive evaluation of left ventricle dysfunction by a new computed tomography scanner: the E-PLURIBUS study. JACC Cardiovasc Imaging 16:175–188. https://doi.org/10.1016/j.jcmg.2022.08.005
Han D, Lin A, Kuronuma K et al (2023) Cardiac computed tomography for quantification of myocardial extracellular volume fraction: a systematic review and meta-analysis. JACC Cardiovasc Imaging 16:1306–1317. https://doi.org/10.1016/j.jcmg.2023.03.021
Rajiah PS, Alkadhi H, Van Mieghem NM, Budde RPJ (2024) Utility of photon counting CT in transcatheter structural heart disease interventions. Semin Roentgenol 59:32–43. https://doi.org/10.1053/j.ro.2023.11.005
Mergen V, Ghouse S, Sartoretti T et al (2023) Cardiac virtual noncontrast images for calcium quantification with photon-counting detector CT. Radiol Cardiothorac Imaging 5:e220307. https://doi.org/10.1148/ryct.220307
Article PubMed PubMed Central Google Scholar
Corrado D, Perazzolo Marra M, Zorzi A et al (2020) Diagnosis of arrhythmogenic cardiomyopathy: the Padua criteria. Int J Cardiol 319:106–114. https://doi.org/10.1016/j.ijcard.2020.06.005
Members WC, Ommen SR, Mital S et al (2021) 2020 AHA/ACC guideline for the diagnosis and treatment of patients with hypertrophic cardiomyopathy: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Thorac Cardiovasc Surg 162:e23–e106. https://doi.org/10.1016/j.jtcvs.2021.04.001
Authors/Task Force members, Elliott PM, Anastasakis A, et al (2014) 2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC). Eur Heart J 35:2733–2779. https://doi.org/10.1093/eurheartj/ehu284
Mahrholdt H, Wagner A, Judd RM, Sechtem U (2002) Assessment of myocardial viability by cardiovascular magnetic resonance imaging. Eur Heart J 23:602–619. https://doi.org/10.1053/euhj.2001.3038
Article CAS PubMed Google Scholar
Halliday BP, Baksi AJ, Gulati A et al (2019) Outcome in dilated cardiomyopathy related to the extent, location, and pattern of late gadolinium enhancement. JACC Cardiovasc Imaging 12:1645–1655. https://doi.org/10.1016/j.jcmg.2018.07.015
Article PubMed PubMed Central Google Scholar
Axelsson Raja A, Farhad H, Valente AM et al (2018) Prevalence and progression of late gadolinium enhancement in children and adolescents with hypertrophic cardiomyopathy. Circulation 138:782–792. https://doi.org/10.1161/CIRCULATIONAHA.117.032966
Fontana M, Pica S, Reant P et al (2015) Prognostic value of late gadolinium enhancement cardiovascular magnetic resonance in cardiac amyloidosis. Circulation 132:1570–1579. https://doi.org/10.1161/CIRCULATIONAHA.115.016567
Article CAS PubMed PubMed Central Google Scholar
Kwong RY, Chan AK, Brown KA et al (2006) Impact of unrecognized myocardial scar detected by cardiac magnetic resonance imaging on event-free survival in patients presenting with signs or symptoms of coronary artery disease. Circulation 113:2733–2743. https://doi.org/10.1161/CIRCULATIONAHA.105.570648
Allard M, Doucet D, Kien P et al (1988) Experimental study of DOTA-gadolinium. Pharmacokinetics and pharmacologic properties. Invest Radiol 23(Suppl 1):S271–S274. https://doi.org/10.1097/00004424-198809001-00059
Article CAS PubMed Google Scholar
Gerber BL, Belge B, Legros GJ et al (2006) Characterization of acute and chronic myocardial infarcts by multidetector computed tomography: comparison with contrast-enhanced magnetic resonance. Circulation 113:823–833. https://doi.org/10.1161/CIRCULATIONAHA.104.529511
Lardo AC, Cordeiro MAS, Silva C et al (2006) Contrast-enhanced multidetector computed tomography viability imaging after myocardial infarction: characterization of myocyte death, microvascular obstruction, and chronic scar. Circulation 113:394–404. https://doi.org/10.1161/CIRCULATIONAHA.105.521450
Article PubMed PubMed Central Google Scholar
Mahnken AH, Koos R, Katoh M et al (2005) Assessment of myocardial viability in reperfused acute myocardial infarction using 16-slice computed tomography in comparison to magnetic resonance imaging. J Am Coll Cardiol 45:2042–2047. https://doi.org/10.1016/j.jacc.2005.03.035
Nacif MS, Kawel N, Lee JJ et al (2012) Interstitial myocardial fibrosis assessed as extracellular volume fraction with low-radiation-dose cardiac CT. Radiology 264:876–883. https://doi.org/10.1148/radiol.12112458
留言 (0)