Current Cardiac Imaging Approaches in Duchenne Muscular Dystrophy
Bibliographic record
Abstract
Duchenne muscular dystrophy (DMD) is an X-linked neuromuscular condition caused by mutations in the dystrophin gene leading to skeletal muscle weakness and dilated cardiomyopathy. The prevalence of DMD-related cardiomyopathy increases with age and is almost universal by the third decade of life. Myocardial fibrosis and progressive left ventricular dysfunction lead to the development of heart failure and premature death. With modern advances in medical and surgical management for patients with DMD increasing their life expectancy, cardiac dysfunction represents an increasing cause of morbidity and mortality in these patients. Early diagnosis of dilated cardiomyopathy before symptom development enables the initiation of potentially disease-modifying therapies, but requires regular dedicated imaging surveillance with sufficient sensitivity to detect subclinical changes in cardiac structure and function. Currently, transthoracic echocardiography (TTE) and cardiac magnetic resonance imaging (CMR) are commonly used and have complementary roles. TTE is rapid and readily available, whereas CMR is the gold standard for the quantification of ventricular structure and function and can detect the presence and extent of myocardial fibrosis, an increasingly appreciated marker for early disease. This review describes the clinical applications, advantages, and disadvantages of cardiac imaging screening and surveillance for the myocardial manifestations of DMD, with a particular focus on TTE and CMR.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".