ReviewCardiovascular ultrasound2025
Left ventricular flow dynamics by cardiac imaging techniques in heart failure patients: state of the art.
Review in Cardiovascular ultrasound, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Novel Insights from Blood Speckle Imaging for the Assessment of Left Ventricular Flow Dynamics in Adult Patients: A Three-Patient Proof-of-Concept Case Series in the Context of Current Evidence.Echocardiography (Mount Kisco, N.Y.) · 2026Article
- Mitral Valve Repair vs. Replacement: Hemodynamics in Valve Surgery.Reviews in cardiovascular medicine · 2026Review
- Evaluation of left intraventricular flow dynamics using the novel non-contrast HyperDoppler technique.European heart journal. Imaging methods and practice · 2026Article
- Evaluation of the intraventricular hemodynamics of patients with left ventricular dysfunction via vector flow mapping.Frontiers in cardiovascular medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe evaluation of left ventricular (LV) flow dynamics is a novel approach to assessing LV function that goes beyond traditional metrics. This approach has been applied to patients with heart failure (HF), providing valuable insights that are discussed in this review, with the aim of enhancing our understanding of LV function in the context of the HF syndrome.
methodsThe analysis of LV flow dynamics is typically conducted using ultrasound and magnetic resonance imaging (MRI) techniques, primarily including particle image velocimetry echocardiography, Vector Flow Imaging, HyperDoppler, and four-dimensional flow MRI. A variety of parameters can be obtained that describe the geometry of the LV vortex, vorticity, kinetic energy, energy dispersion, as well as the amplitude and direction of the hemodynamic forces within the LV cavity.
resultsIn normal subjects, vortex formation plays a crucial role in optimizing LV filling, diastolic-systolic coupling, and energy transfer during systolic ejection. In patients with HF, alterations in vortex structure and dynamics have been associated with both systolic and diastolic LV dysfunction, demonstrating the potential to diagnose early LV dysfunction. Furthermore, these alterations have been linked to LV remodeling and thrombus formation. Several studies have also explored intracardiac flow metrics as biomarkers for guiding HF treatments, including pharmacological interventions, cardiac resynchronization therapy, and LV assist devices.
conclusionsCurrently available data suggest that the evaluation of LV flow dynamics can have diagnostic and prognostic utility in HF. However, large-scale, multicenter, and prospective studies are needed, particularly to validate therapeutic implications.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.