ArticleEuropean radiology2021
Myocardial extracellular volume fraction radiomics analysis for differentiation of reversible versus irreversible myocardial damage and prediction of left ventricular adverse remodeling after ST-elevation myocardial infarction.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Quality of science and reporting for radiomics in cardiac magnetic resonance imaging studies: a systematic review.European radiology · 2022Pooled it
- Non-Contrast Cine Cardiac Magnetic Resonance Derived-Radiomics for the Prediction of Left Ventricular Adverse Remodeling in Patients With ST-Segment Elevation Myocardial Infarction.Korean journal of radiology · 2023Trial
- The Role of the Extracellular Volume of the Infarction Zone and the Remote Myocardium in Predicting Systolic Dysfunction After the First Myocardial Infarction.Diagnostics (Basel, Switzerland) · 2026Article
- Incremental prognostic value of CCTA-based myocardial radiomics over clinical factors, anatomic and hemodynamic CTA findings in patients with stable angina.The international journal of cardiovascular imaging · 2026Review
- Establishing T1 and ECV mapping based nomogram differentiate acute ischemic and nonischemic myocardial injury: a proof-of-concept study.BMC medical imaging · 2026Article
- Cardioprotective and Anti-Hypertensive Effects of Epigallocatechin Gallate: Novel Insights Into Biological Evidence.Journal of clinical hypertension (Greenwich, Conn.) · 2025Review
- Radiomics of pericardial fat: a new frontier in heart failure discrimination and prediction.European radiology · 2024Article
- Applications of digital health approaches for cardiometabolic diseases prevention and management in the Western Pacific region.The Lancet regional health. Western Pacific · 2024Review
- Present and Future Innovations in AI and Cardiac MRI.Radiology · 2024Review
- Radiomics-based machine learning models in STEMI: a promising tool for the prediction of major adverse cardiac events.European radiology · 2023Article
- Identification of fibrosis in hypertrophic cardiomyopathy: a radiomic study on cardiac magnetic resonance cine imaging.European radiology · 2023Article
- From multi-omics approaches to personalized medicine in myocardial infarction.Frontiers in cardiovascular medicine · 2023Review
- Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms.Journal of digital imaging · 2022Article
- [Artificial intelligence and radiomics : Value in cardiac MRI].Radiologie (Heidelberg, Germany) · 2022Review
- Radiomic analysis of enhanced CMR cine images predicts left ventricular remodeling after TAVR in patients with symptomatic severe aortic stenosis.Frontiers in cardiovascular medicine · 2022Article
- Magnetic Resonance Texture Analysis in Myocardial Infarction.Frontiers in cardiovascular medicine · 2021Review
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
Abstract
objectivesOur study sought to explore the prognostic value of radiomic TA (texture analysis) on quantitative ECV (extracellular volume) fraction mapping to differentiate between reversible and irreversible myocardial damage and to predict left ventricular adverse remodeling in patients with reperfused STEMI (ST-elevation myocardial infarction).
methodsThis observational prospective cohort study identified 70 patients (62 ± 9 years, 62 men [85.70%]) with STEMI for TA who consecutively performed native and contrast T1 mapping. Texture features were extracted from each stack of ECV mapping based on ROI (region of interest) analysis.
resultsAfter texture feature selection and dimension reduction, five selected texture features were found to be statistically significant for differentiating the extent of myocardial injury. ROC (receiver operating characteristic) curve analysis for the differentiation of unsalvageable infarction and salvageable myocardium demonstrated a significantly higher AUC (area under the curve) (0.91 [95% CI, 0.86-0.96], p < 0.0001) for horizontal fraction than other texture features (p < 0.05). LVAR (left ventricular adverse remodeling) was predicted by those selected features. The differences in qualitative and quantitative baseline parameters and horizontal fractions were significant between the patients with and without LVAR. LGE (late gadolinium enhancement) and horizontal fraction features of infarcted myocardium in acute STEMI were the only two parameters selected in forming the optimal overall multivariable model for LVAR at 6 months.
conclusionsRadiomic analysis of ECV could discriminate reversible from irreversible myocardial injury after STEMI. LGE as well as radiomics TA (texture analysis) of ECV may provide an alternative to predict LVAR and functional recovery. KEY POINTS: • ECV quantification was able to differentiate between infarcted myocardium and non-infarcted myocardium. • Radiomics analysis of ECV could discriminate reversible from irreversible myocardial injury. • Radiomics TA analysis shows a promising similarity with LGE findings which could aid the prognosis of myocardial infarction patients.
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Registered trials
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