ReviewThe international journal of cardiovascular imaging2026
Clinical application of cardiac computed tomography in cardiomyopathy.
Review in The international journal of cardiovascular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Calculation of Ejection Fraction Using Cardiac Computed Tomography: Clinical Evolution, Reliability, and Technological Challenges-A Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiomyopathies are a heterogeneous group of myocardial disorders characterized by mechanical and/or electrical dysfunction, typically occurring without significant coronary artery disease, hypertension, valvular, or congenital heart disease. According to current ESC guidelines, cardiovascular magnetic resonance (CMR) is a class I recommendation for the initial evaluation of patients with suspected cardiomyopathy, given its ability to provide comprehensive morphological and tissue characterization. CMR, however, may be precluded in patients owing to device incompatibility, claustrophobia, or arrhythmia- and motion-related image degradation. In this context, cardiac computed tomography (CCT), traditionally used for assessing coronary artery disease, has emerged as a valuable alternative. Technological advancements have enabled CCT to deliver not only detailed anatomical information but also functional and tissue-specific insights. The recent consensus document from the European Association of Cardiovascular Imaging underscore the expanding clinical applications of CCT, highlighting its potential role in the diagnostic work-up and phenotypic classification of cardiomyopathies. In this review, we summarize the current evidence supporting the use of CCT in patients with suspected cardiomyopathy, outline its clinical strengths and limitations, and discuss emerging developments such as artificial intelligence and radiomics, which could further enhance its diagnostic and prognostic value.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.