Reproducibility assessment of biventricular strain derived from Long-Axis feature tracking in travelling Volunteers - A study in the Berlin research network for cardiovascular magnetic resonance (BER-CMR)
Bibliographic record
Abstract
PURPOSE: To evaluate the reproducibility of biventricular global longitudinal strain (GLS) assessment using cardiovascular magnetic resonance in a multicenter study of travelling volunteers. METHODS: Twenty travelling volunteers were prospectively scanned at four sites with same-vendor scanners at 3.0T (sites I, II, III) and 1.5T (site IV). Cine imaging in three long-axis views was performed using a segmented balanced steady-state free precession sequence with 30 cardiac phases except site II with 25 phases. RESULTS: Imaging and post-processing were carried out successfully for 18 volunteers in a core lab setting. Pairwise comparisons revealed significant differences in left ventricular (LV) GLS between sites I and II (p < 0.001) and sites II and IV (p = 0.013), as well as in right ventricular (RV) GLS between sites I and IV (p = 0.027). RV GLS values were significantly higher at 3.0T (p = 0.024), whereas field strength had no significant impact on LV GLS (p = 0.153). Conversely, the use of 25 cardiac phases at site II was associated with significantly lower LV GLS values (p < 0.001), while RV GLS remained unaffected (p = 0.825). CONCLUSION: When applying feature tracking-based strain in a multicenter study, careful consideration should be given to the temporal resolution for LV longitudinal strain and to magnetic field strength for RV longitudinal strain.
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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 | 0.036 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".