Abstract 15256: The Effect of Pulmonary Regurgitation and Right Ventricular (RV) Dilatation on RV Strain Measurements: Need for Volumetric Correction of RV Deformation Measurements?
Bibliographic record
Abstract
Background: Pulmonary insufficiency (PI) with right ventricular (RV) dilatation is common after tetralogy of Fallot (ToF) repair. RV myocardial deformation is reduced in ToF patients but the PI-related RV dilatation and strain (S) and strain rate (SR) is not well studied. Aim: To evaluate the relationship between RV S and SR and PI-related RV dilatation. Methods and results: Sixty pts were studied: 40 pts after ToF repair and 20 age matched controls. All pts underwent an echocardiography at the time of a clinically indicated MRI. Ultrasound images were acquired using a GE Vivid 7 (GE Ultrasound, USA). For RV longitudinal deformation the RV lateral S and SR were obtained from an apical four chamber view using speckle tracking technique. Cardiac MRI was used to quantify RV volumes and pulmonary regurgitant volume (PRV). RV deformation parameters were significantly decreased in the ToF group compared to controls: S -22.8±4.7% vs -34±5.2%, p Conclusion: In ToF patients, RV dilatation is associated with reduced strain. Correcting RV deformation for RV dilatation theoretically could better represent RV function and the negative relationships between S/EDV and PRV suggest that progressive PI negatively affects RV function, irrespective of the effect of RV volume.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.010 |
| 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) | 0.002 | 0.001 |
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".