P429Combining systolic and diastolic feature tracking myocardial strain parameters for a more comprehensive assessment of the different characteristics in HFpEF
Notice bibliographique
Résumé
Funding Acknowledgements: Swiss National Science Foundation, McGill University Health Centre Foundation, Department of Anaesthesiology and Pain Therapy Inselspital Background: Heart Failure with Preserved Ejection Fraction (HFpEF) is a disease commonly associated with impaired myocardial relaxation, stiffening of the ventricles and consecutive diastolic dysfunction. Due to a left ventricular ejection fraction (LVEF) greater than 50%, the severity of heart failure or progression of systolic dysfunction may be underappreciated. Feature-tracking (FT) CMR is becoming a diagnostic and prognostic tool in cardiovascular disease. This technique has been most validated for peak strain, a marker of systolic function. Current software now allows for a variety of systolic and diastolic parameters to be extrapolated from these images, which in combination with tissue characterization and myocardial function assessments may provide a more comprehensive assessment of HFpEF. Purpose: To investigate ventricular systolic and diastolic strain measurements obtained by FT-CMR in relation to other CMR characteristics of HFpEF patients. Methods: HFpEF patients with diastolic dysfunction (LVEF > 50%) underwent standard cine acquisition of the ventricles at rest. These images were analyzed with FT software for systolic parameters of peak strain, time to peak strain, along with systolic and diastolic strain rates (SR) in a circumferential and longitudinal orientation. T2 mapping and T1-based contrast enhanced extracellular volume (ECV) maps were acquired, while the myocardial oxygenation response was assessed with an oxygenation-sensitive image during a vasoactive stimulus induced by 60s of rapid-paced breathing and subsequent apnea. Results: Thirty patients (47% female) with a mean age of 61 ± 14 (SD) completed the CMR exam. Global peak circumferential strain was related to EF (r=-0.409, p = 0.025) for circumferential only, while peak strain and systolic SR in both orientations were associated with an enlarged mass index (r > 0.365, p < 0.050). A poor myocardial oxygenation response was associated with an increase in longitudinal time to peak strain (r=-0.383, p = 0.044). T2 was not associated with peak strain, but with circumferential time to peak (r = 0.533, p = 0.004) and an attenuated systolic SR (r = 0.440, p = 0.015). On the other hand, ECV was associated with the circumferential diastolic SR ratio of the early and atrial peaks (r = 0.576, p = 0.001). Conclusion: Using an array of strain parameters from FT-CMR may add more insight into various presentations of HFpEF, and into the progressive deterioration of myocardial relaxation and ventricular compliance. Diastolic parameters were found to be associated with measurements indicating ventricular stiffness, whereas inducible myocardial ischaemia and edema were associated with signs of systolic dysfunction, especially time to peak strain. This parameter and abnormal myocardial oxygenation could be early markers for progressive systolic involvement with diastolic dysfunction in HFpEF. Larger samples as well as myocardial segmental analysis may help to better characterize HFpEF pathophysiology Abstract P429 Figure. Feature Tracking in HFpEF
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».