ArticleJournal of translational medicine2015
Information maximizing component analysis of left ventricular remodeling due to myocardial infarction.
Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Interpretable cardiac anatomy modeling using variational mesh autoencoders.Frontiers in cardiovascular medicine · 2022Article
- Parametric-based feature selection via spherical harmonic coefficients for the left ventricle myocardial infarction screening.Medical & biological engineering & computing · 2021Article
- Artificial Intelligence in Cardiac Imaging With Statistical Atlases of Cardiac Anatomy.Frontiers in cardiovascular medicine · 2020Review
- Atlas-based measures of left ventricular shape may improve characterization of adverse remodeling in anthracycline-exposed childhood cancer survivors: a cross-sectional imaging study.Cardio-oncology (London, England) · 2020Article
- Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department.BMC medical informatics and decision making · 2019Article
- Machine learning in cardiovascular magnetic resonance: basic concepts and applications.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019Review
- The New Wave of Cardiovascular Biomechanics.JACC. Cardiovascular imaging · 2019Article
- Computational models in cardiology.Nature reviews. Cardiology · 2019Review
- Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease.Journal of cardiovascular translational research · 2018Review
- Article
- Cardiac image modelling: Breadth and depth in heart disease.Medical image analysis · 2016Review
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Authors and funding
12 authors.
Funding
Abstract
backgroundAlthough adverse left ventricular shape changes (remodeling) after myocardial infarction (MI) are predictive of morbidity and mortality, current clinical assessment is limited to simple mass and volume measures, or dimension ratios such as length to width ratio. We hypothesized that information maximizing component analysis (IMCA), a supervised feature extraction method, can provide more efficient and sensitive indices of overall remodeling.
methodsIMCA was compared to linear discriminant analysis (LDA), both supervised methods, to extract the most discriminatory global shape changes associated with remodeling after MI. Finite element shape models from 300 patients with myocardial infarction from the DETERMINE study (age 31-86, mean age 63, 20 % women) were compared with 1991 asymptomatic cases from the MESA study (age 44-84, mean age 62, 52 % women) available from the Cardiac Atlas Project. IMCA and LDA were each used to identify a single mode of global remodeling best discriminating the two groups. Logistic regression was employed to determine the association between the remodeling index and MI. Goodness-of-fit results were compared against a baseline logistic model comprising standard clinical indices.
resultsA single IMCA mode simultaneously describing end-diastolic and end-systolic shapes achieved best results (lowest Deviance, Akaike information criterion and Bayesian information criterion, and the largest area under the receiver-operating-characteristic curve). This mode provided a continuous scale where remodeling can be quantified and visualized, showing that MI patients tend to present larger size and more spherical shape, more bulging of the apex, and thinner wall thickness.
conclusionsIMCA enables better characterization of global remodeling than LDA, and can be used to quantify progression of disease and the effect of treatment. These data and results are available from the Cardiac Atlas Project ( http://www.cardiacatlas.org ).
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