Investigation of Global and Regional Myocardial Mechanics With 3-Dimensional Speckle Tracking Echocardiography and Relations to Hypertrophy and Fibrosis in Hypertrophic Cardiomyopathy
Bibliographic record
Abstract
BACKGROUND: In hypertrophic cardiomyopathy (HCM), heterogeneous myocardial hypertrophy and fibrosis are responsible for abnormalities of left ventricular (LV) function. We aimed to characterize LV global and regional myocardial mechanics in HCM, according to segmental hypertrophy and fibrosis. METHODS AND RESULTS: Fifty-nine patients with HCM underwent standard echocardiography, 3-dimensional speckle tracking echocardiography, and cardiac magnetic resonance with late gadolinium enhancement (LGE); all 3 tests were <24 hours apart. Longitudinal, circumferential, and area strains were investigated according to the extent of LGE (no LGE, LGE<10%, and LGE≥10%), segmental thickness (≥15 versus <15 mm), and segmental LGE (LGE versus non-LGE). Attenuated global longitudinal strain showed association with extent of hypertrophy (indexed LV mass, r=0.32, P=0.01; maximum LV wall thickness, r=0.34, P=0.009; number of segments≥15 mm, r=0.44, P<0.001), whereas enhanced global circumferential strain was correlated to LV global functional parameters (indexed end-systolic volume, r=0.47, P<0.001; ejection fraction, r=-0.75, P<0.001). Parameters of global myocardial mechanics showed no association with the extent of LGE; in contrast, the extent of LGE was associated with the extent of hypertrophy. All 3 deformation parameters were attenuated both in segments≥15 mm in thickness and in those with LGE; adjusted analysis demonstrated that segmental presence of LGE was associated with additional attenuation in myocardial deformation. CONCLUSIONS: Both hypertrophy and fibrosis contribute to regional impairment of myocardial shortening in HCM. The extent of hypertrophy is the primary factor altering global myocardial mechanics. Circumferential myocardial shortening seems to be directly involved in preservation of LV systolic performance in HCM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".