The correlation between cardiac magnetic resonance imaging and echocardiography in patients with severe ischaemic cardiomyopathy
Notice bibliographique
Résumé
Abstract Background Left ventricular ejection fraction is the single metric that guides therapeutic decision-making, risk stratification and prognosis in patients with severely impaired systolic function. Although cardiac magnetic resonance imaging (CMR) is the current reference standard for quantification of ventricular volume and function, echocardiography is used more often as it is more widely available and less expensive.(1) Aims To evaluate the correlation between CMR and echocardiography in quantifying left ventricular (LV) volume and function and to determine whether these measurements are associated with clinical outcomes in patients with severe ischemic cardiomyopathy (ICM). Methods Participants recruited to the REVIVED-BCIS2 trial who had undergone baseline CMR or echocardiography were included in this analysis. All scans were analyzed in blinded core laboratories as previously reported.(2,3) All volumes were indexed to body surface area. Spearman correlation, Bland Altman analysis and coverage probability methods were performed to assess the correlation between the two modalities. A Cox proportional hazards model was used to assess the association between imaging metrics and the primary outcome, a composite of all-cause death and aborted sudden death. A sensitivity analysis was conducted a priori, restricted to patients undergoing both scans within 60 days of each other. Results A total of 373 participants with paired imaging data were included: mean age 69±9 years, 87% male, BMI 28±5. A moderate correlation was detected for volume measurements between the modalities (end diastolic volume index (EDVI) r=0.66 end systolic volume index (ESVI) r=0.68), with a weaker correlation for LV ejection fraction (EF) (r=0.41). Bland-Altman plots showed moderate agreement in LVEF measurements (Table 1). The sensitivity analysis included 199 patients, and showed similar results (EDVI r=0.72, ESVI r=0.73 LVEF r=0.43, all p<0.000). Only 7.5% of the paired LVEF measurements were within 5% of each other. 30% of participants were misclassified by echocardiography as having an LVEF>35%. (Figure 1) CMR ESVI was associated with the occurrence of the primary outcome (HR 1.05 per 10ml increment, 95% CI 1.00-1.10) however echo ESVI (HR 1.05 per 10ml increment 95% CI 0.99 – 1.10) and all other imaging metrics were not. Conclusion Left ventricular volumes and ejection fraction on CMR and echocardiography were only modestly correlated in this population with severe ICM. When using the binary EF threshold of 35% that is commonly used to select patients of implantable defibrillator therapy, almost a third of patients at risk would have been missed by echocardiography alone. The additional insights provided by CMR, including scar burden, further support preferential use of this modality in the assessment such patients.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».