ReviewKorean journal of radiology2019
Assessment of Left Ventricular Myocardial Diseases with Cardiac Computed Tomography.
Review in Korean journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Updates on Cardiac MRI and PET Imaging for the Diagnosis and Monitoring of Cardiac Sarcoidosis.Korean journal of radiology · 2025Review
- Cardiac CT for electrophysiological interventions.The international journal of cardiovascular imaging · 2025Review
- The impact of lipoprotein(a) level on cardiac pathologies in diabetes: a cardiac CT study.European radiology · 2025Article
- Feasibility of an animal model for long-term mechanical circulatory support with Impella 5.5 implanted through carotid artery access in sheep.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2024Article
- Review
- Pre- and post-procedural cardiac imaging (computed tomography and magnetic resonance imaging) in electrophysiology: a clinical consensus statement of the European Heart Rhythm Association and European Association of Cardiovascular Imaging of the European Society of Cardiology.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Article
- Hypertensive Heart Disease: Mechanisms, Diagnosis and Treatment.Reviews in cardiovascular medicine · 2024Review
- Development of a thick and functional human adipose-derived stem cell tissue sheet for myocardial infarction repair in rat hearts.Stem cell research & therapy · 2023Article
- Computed tomography and transthoracic echocardiography for assessment of left ventricle geometry in patients with aortic valve stenosis.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2023Article
- Dual-energy Computed Tomography Delayed Myocardial Enhancement in the Diagnostic Dilemma of True versus False Left Ventricular Aneurysm - A Case Report.Journal of clinical imaging science · 2021Article
- Detection of Left Ventricular Thrombi on Cardiac Magnetic Resonance Viability Studies.Journal of the Saudi Heart Association · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid advances in cardiac computed tomography (CT) have enabled the characterization of left ventricular (LV) myocardial diseases based on LV anatomical morphology, function, density, and enhancement pattern. Global LV function and regional wall motion can be evaluated using multi-phasic cine CT images. CT myocardial perfusion imaging facilitates the identification of hemodynamically significant coronary artery disease. CT delayed-enhancement imaging is used to detect myocardial scar in myocardial infarction and to measure the extracellular volume fraction in non-ischemic cardiomyopathy. Multi-energy cardiac CT allows the mapping of iodine distribution in the myocardium. This review summarizes the current techniques of cardiac CT for LV myocardial assessment, highlights the key findings in various myocardial diseases, and presents future applications to complement echocardiography and cardiovascular magnetic resonance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.