ArticleJACC. Cardiovascular imaging2019
Radiomic Analysis of Myocardial Native T
Article in JACC. Cardiovascular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 6 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
114 citing papers in PubMed, 6 syntheses or guidelines pooled it, 187 citations in OpenAlex.
- Patient outcome prognosis for external beam radiation therapy using CBCT-based radiomics: a systematic review.Biomedical physics & engineering express · 2026Pooled it
- Role of radiomics in staging liver fibrosis: a meta-analysis.BMC medical imaging · 2024Pooled it
- Cardiac magnetic resonance imaging for discrimination of hypertensive heart disease and hypertrophic cardiomyopathy: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2024Pooled it
- Quality of science and reporting for radiomics in cardiac magnetic resonance imaging studies: a systematic review.European radiology · 2022Pooled it
- Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment.European radiology · 2022Pooled it
- Development and application of artificial intelligence in cardiac imaging.The British journal of radiology · 2020Pooled it
- Trial
- Cardiac Magnetic Resonance Radiomics for Diagnosis, Phenotyping and Risk Stratification of Cardiomyopathies.Healthcare (Basel, Switzerland) · 2026Review
- A Multitask Deep Learning Pipeline for Classifying Hypertrophic Cardiomyopathy and Hypertensive Heart Disease Based on Native T1 Mapping.Journal of imaging informatics in medicine · 2026Article
- Quantitative imaging analysis in hypertrophic cardiomyopathy: phenotypic differentiation to prognostic stratification.European heart journal. Imaging methods and practice · 2026Review
- Non-invasive predictive model for incidental gallbladder carcinoma based on multimodal features: Integrating clinical data, MRI radiomics, and deep transfer learning features.Translational oncology · 2026Article
- Interpretable machine learning models based on CMR radiomics for predicting left ventricular diastolic dysfunction in patients with metabolic-associated steatotic liver disease and type 2 diabetes mellitus.Journal of diabetes investigation · 2026Article
- In vivo cardiac diffusion tensor imaging quantifies microstructural disorganization to distinguish hypertrophic cardiomyopathy from hypertensive heart disease.The international journal of cardiovascular imaging · 2026Article
- T1 Mapping In Differentiating Healthy And Pathological Myocardium.Anatolian journal of cardiology · 2026Article
- Applications of artificial intelligence and computational approaches to imaging for hypertension identification, phenotyping, and outcome prediction: a systematic review.European heart journal. Digital health · 2026Review
- Decoding the Heart Through Computed Tomography: Early Cardiomyopathy Detection Using Ensemble-Based Segmentation and Radiomics.Journal of imaging · 2026Article
- Radiomic Assessment of Epicardial Adipose Tissue for the Prediction of Non-Calcified Coronary Atherosclerotic Plaques.Journal of cardiovascular development and disease · 2026Article
- Multimodality Imaging in Hypertrophic Cardiomyopathy.Cardiac failure review · 2026Review
- Non-enhanced CT-based radiomics signature of epicardial adipose tissue for screening coronary heart disease.Frontiers in cardiovascular medicine · 2026Article
- Myocardial radiomics of non-ischemic cardiomyopathy using cardiovascular magnetic resonance: current perspectives and future directions.Frontiers in cardiovascular medicine · 2026Review
54 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
objectivesThis study sought to examine the diagnostic ability of radiomic texture analysis (TA) on quantitative cardiovascular magnetic resonance images to differentiate between hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM).
backgroundHHD and HCM are associated with increased left ventricular wall thickness (LVWT). Contemporary guidelines define HCM as LVWT ≥15 mm that is unexplained by other disease, which complicates diagnosis in cases of co-occurrences. Conventional global native T
methodsThis study identified 232 subjects (53 with HHD, 108 with HCM, and 71 control subjects) for TA who consecutively underwent free-breathing multislice native T
resultsThe selected texture features provided the maximum diagnostic accuracy of 86.2% (c-statistic: 0.820; 95% confidence interval [CI]: 0.769 to 0.903) using the SVM. For the test validation dataset, the accuracy of the pattern remained high at 80.0% (c-statistic: 0.89; 95% CI: 0.77 to 1.00). Global native T
conclusionsRadiomics analysis of native T
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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.