ArticleEuropean heart journal. Cardiovascular Imaging2020
Sex and regional differences in myocardial plasticity in aortic stenosis are revealed by 3D model machine learning.
Article in European heart journal. Cardiovascular Imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02174471 (REgression in Left Ventricular Interstitial Expansion and Fibrosis After Aortic Stenosis Surgery), which is not on this map. Cited by 10 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.
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.
REgression in Left Ventricular Interstitial Expansion and Fibrosis After Aortic Stenosis Surgery
Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Differentiating Left Ventricular Remodeling in Aortic Stenosis From Systemic Hypertension.Circulation. Cardiovascular imaging · 2024Article
- Artificial Intelligence in the Screening, Diagnosis, and Management of Aortic Stenosis.Reviews in cardiovascular medicine · 2024Review
- Genotype-Phenotype Taxonomy of Hypertrophic Cardiomyopathy.Circulation. Genomic and precision medicine · 2023Article
- Assessing Complex Left Ventricular Adaptations in Aortic Stenosis Using Personalized 3D + time Cardiac MRI Modeling.Journal of cardiovascular translational research · 2023Article
- Phenotypic Expression and Outcomes in Individuals With Rare Genetic Variants of Hypertrophic Cardiomyopathy.Journal of the American College of Cardiology · 2021Article
- Artificial Intelligence Models Reveal Sex-Specific Gene Expression in Aortic Valve Calcification.JACC. Basic to translational science · 2021Article
- Fully Automated Cardiac Assessment for Diagnostic and Prognostic Stratification Following Myocardial Infarction.Journal of the American Heart Association · 2020Article
- Toward the Effective Bioengineering of a Pathological Tissue for Cardiovascular Disease Modeling: Old Strategies and New Frontiers for Prevention, Diagnosis, and Therapy.Frontiers in cardiovascular medicine · 2020Review
- Artificial Intelligence for Cardiac Imaging-Genetics Research.Frontiers in cardiovascular medicine · 2019Review
- Review
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
aimsLeft ventricular hypertrophy (LVH) in aortic stenosis (AS) varies widely before and after aortic valve replacement (AVR), and deeper phenotyping beyond traditional global measures may improve risk stratification. We hypothesized that machine learning derived 3D LV models may provide a more sensitive assessment of remodelling and sex-related differences in AS than conventional measurements. METHODS AND
resultsOne hundred and sixteen patients with severe, symptomatic AS (54% male, 70 ± 10 years) underwent cardiovascular magnetic resonance pre-AVR and 1 year post-AVR. Computational analysis produced co-registered 3D models of wall thickness, which were compared with 40 propensity-matched healthy controls. Preoperative regional wall thickness and post-operative percentage wall thickness regression were analysed, stratified by sex. AS hypertrophy and regression post-AVR was non-uniform-greatest in the septum with more pronounced changes in males than females (wall thickness regression: -13 ± 3.6 vs. -6 ± 1.9%, respectively, P < 0.05). Even patients without LVH (16% with normal indexed LV mass, 79% female) had greater septal and inferior wall thickness compared with controls (8.8 ± 1.6 vs. 6.6 ± 1.2 mm, P < 0.05), which regressed post-AVR. These differences were not detectable by global measures of remodelling. Changes to clinical parameters post-AVR were also greater in males: N-terminal pro-brain natriuretic peptide (NT-proBNP) [-37 (interquartile range -88 to -2) vs. -1 (-24 to 11) ng/L, P = 0.008], and systolic blood pressure (12.9 ± 23 vs. 2.1 ± 17 mmHg, P = 0.009), with changes in NT-proBNP correlating with percentage LV mass regression in males only (ß 0.32, P = 0.02).
conclusionIn patients with severe AS, including those without overt LVH, LV remodelling is most plastic in the septum, and greater in males, both pre-AVR and post-AVR. Three-dimensional machine learning is more sensitive than conventional analysis to these changes, potentially enhancing risk stratification. CLINICAL
trial registrationRegression of myocardial fibrosis after aortic valve replacement (RELIEF-AS); NCT02174471. https://clinicaltrials.gov/ct2/show/NCT02174471.
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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.