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For: Rodriguez-Granillo GA. Delayed enhancement cardiac computed tomography for the assessment of myocardial infarction: from bench to bedside. Cardiovasc Diagn Ther 2017;7:159-70. [PMID: 28540211 DOI: 10.21037/cdt.2017.03.16] [Cited by in Crossref: 20] [Cited by in F6Publishing: 17] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Sramko M, Hoogendoorn JC, Glashan CA, Zeppenfeld K. Advancement in cardiac imaging for treatment of ventricular arrhythmias in structural heart disease. EP Europace 2019;21:383-403. [DOI: 10.1093/europace/euy150] [Cited by in Crossref: 12] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
2 Ko SM, Kim TH, Chun EJ, Kim JY, Hwang SH. Assessment of Left Ventricular Myocardial Diseases with Cardiac Computed Tomography. Korean J Radiol 2019;20:333-51. [PMID: 30799565 DOI: 10.3348/kjr.2018.0280] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
3 Savino G, Piccolo FL, Merlino B, Rovere G, Bianco M, Gervasi SF, Palmieri V, Larici AR, Manfredi R, Marano R. Cardiac-CT with the newest CT scanners: An incoming screening tool for competitive athletes? Clin Imaging 2021;78:74-92. [PMID: 33773447 DOI: 10.1016/j.clinimag.2021.03.001] [Reference Citation Analysis]
4 Ohta Y, Kitao S, Yunaga H, Fujii S, Mukai N, Yamamoto K, Ogawa T. Myocardial Delayed Enhancement CT for the Evaluation of Heart Failure: Comparison to MRI. Radiology 2018;288:682-91. [PMID: 29989514 DOI: 10.1148/radiol.2018172523] [Cited by in Crossref: 31] [Cited by in F6Publishing: 24] [Article Influence: 10.3] [Reference Citation Analysis]
5 Citro R, Okura H, Ghadri JR, Izumi C, Meimoun P, Izumo M, Dawson D, Kaji S, Eitel I, Kagiyama N, Kobayashi Y, Templin C, Delgado V, Nakatani S, Popescu BA. Multimodality imaging in takotsubo syndrome: a joint consensus document of the European Association of Cardiovascular Imaging (EACVI) and the Japanese Society of Echocardiography (JSE). J Echocardiogr 2020;18:199-224. [PMID: 32886290 DOI: 10.1007/s12574-020-00480-y] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
6 Sueta D, Oda S, Izumiya Y, Kaikita K, Kidoh M, Utsunomiya D, Yamashita Y, Tsujita K. Comprehensive assessment of takotsubo cardiomyopathy by cardiac computed tomography. Emerg Radiol 2019;26:109-12. [PMID: 29732519 DOI: 10.1007/s10140-018-1610-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
7 Oda S, Emoto T, Nakaura T, Kidoh M, Utsunomiya D, Funama Y, Nagayama Y, Takashio S, Ueda M, Yamashita T, Tsujita K, Ando Y, Yamashita Y. Myocardial Late Iodine Enhancement and Extracellular Volume Quantification with Dual-Layer Spectral Detector Dual-Energy Cardiac CT. Radiol Cardiothorac Imaging 2019;1:e180003. [PMID: 33778497 DOI: 10.1148/ryct.2019180003] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 6.5] [Reference Citation Analysis]
8 Mandoli GE, D'Ascenzi F, Vinco G, Benfari G, Ricci F, Focardi M, Cavigli L, Pastore MC, Sisti N, De Vivo O, Santoro C, Mondillo S, Cameli M. Novel Approaches in Cardiac Imaging for Non-invasive Assessment of Left Heart Myocardial Fibrosis. Front Cardiovasc Med 2021;8:614235. [PMID: 33937354 DOI: 10.3389/fcvm.2021.614235] [Reference Citation Analysis]
9 Palmisano A, Vignale D, Benedetti G, Del Maschio A, De Cobelli F, Esposito A. Late iodine enhancement cardiac computed tomography for detection of myocardial scars: impact of experience in the clinical practice. Radiol Med 2020;125:128-36. [PMID: 31784926 DOI: 10.1007/s11547-019-01108-7] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
10 Mukai-Yatagai N, Ohta Y, Amisaki R, Sasaki N, Akasaka T, Watanabe T, Kishimoto J, Kato M, Ogawa T, Yamamoto K. Myocardial delayed enhancement on dual-energy computed tomography: The prevalence and related factors in patients with suspicion of coronary artery disease. J Cardiol 2020;75:302-8. [PMID: 31500962 DOI: 10.1016/j.jjcc.2019.08.004] [Reference Citation Analysis]
11 Assen MV, Vonder M, Pelgrim GJ, Von Knebel Doeberitz PL, Vliegenthart R. Computed tomography for myocardial characterization in ischemic heart disease: a state-of-the-art review. Eur Radiol Exp 2020;4:36. [PMID: 32548777 DOI: 10.1186/s41747-020-00158-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
12 Emoto T, Oda S, Kidoh M, Nakaura T, Nagayama Y, Sakabe D, Kakei K, Goto M, Funama Y, Hatemura M, Takashio S, Kaikita K, Tsujita K, Ikeda O. Myocardial Extracellular Volume Quantification Using Cardiac Computed Tomography: A Comparison of the Dual-energy Iodine Method and the Standard Subtraction Method. Acad Radiol 2021;28:e119-26. [PMID: 32402786 DOI: 10.1016/j.acra.2020.03.019] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Citro R, Okura H, Ghadri JR, Izumi C, Meimoun P, Izumo M, Dawson D, Kaji S, Eitel I, Kagiyama N, Kobayashi Y, Templin C, Delgado V, Nakatani S, Popescu BA, Bertrand P, Donal E, Dweck M, Galderisi M, Haugaa KH, Sade LE, Stankovic I, Cosyns B, Edvardsen T; EACVI Scientific Documents Committee. Multimodality imaging in takotsubo syndrome: a joint consensus document of the European Association of Cardiovascular Imaging (EACVI) and the Japanese Society of Echocardiography (JSE). European Heart Journal - Cardiovascular Imaging 2020;21:1184-207. [DOI: 10.1093/ehjci/jeaa149] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 11.0] [Reference Citation Analysis]
14 Singh A, Mor-avi V, Patel AR. The role of computed tomography myocardial perfusion imaging in clinical practice. Journal of Cardiovascular Computed Tomography 2020;14:185-94. [DOI: 10.1016/j.jcct.2019.05.011] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
15 Ko SM, Hwang SH, Lee HJ. Role of Cardiac Computed Tomography in the Diagnosis of Left Ventricular Myocardial Diseases. J Cardiovasc Imaging 2019;27:73-92. [PMID: 30993942 DOI: 10.4250/jcvi.2019.27.e17] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 4.5] [Reference Citation Analysis]
16 Trayanova NA, Doshi AN, Prakosa A. How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post-infarction patients. Wiley Interdiscip Rev Syst Biol Med 2020;12:e1477. [PMID: 31917524 DOI: 10.1002/wsbm.1477] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
17 Kirkbride RR, Rawal B, Mirsadraee S, Galperin-aizenberg M, Wechalekar K, Ridge CA, Litmanovich DE. Imaging of Cardiac Infections: A Comprehensive Review and Investigation Flowchart for Diagnostic Workup. Journal of Thoracic Imaging 2021;36:W70-88. [DOI: 10.1097/rti.0000000000000552] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]