Predictors of Futile Recanalization after Mechanical Thrombectomy for Embolism-Related Large Vessel Occlusion in the Anterior Circulation
Notice bibliographique
Résumé
Objective: Futile recanalization (FR)-a poor functional outcome despite successful reperfusion after mechanical thrombectomy (MT)-remains a significant issue in acute ischemic stroke owing to large vessel occlusion. This study aimed to identify predictors of FR, focusing on CT perfusion (CTP) parameters using our institutional retrospective data. Methods: Patients who underwent MT at our institution between April 2015 and February 2023 were retrospectively reviewed. FR was defined as a 90-day modified Rankin Scale (mRS) score of 3-6 despite successful reperfusion (modified thrombolysis in cerebral infarction ≥2b). Patients with internal carotid artery (ICA) or M1 segment of the middle cerebral artery occlusion, pre-stroke mRS 0-2, stroke etiology classified as cardioembolic or embolic stroke of undetermined source, and available CTP were included. The ischemic core was defined as cerebral blood volume (CBV) <1.0 mL/100 g on CTP, and the Alberta Stroke Program Early CT Score (ASPECTS) was also evaluated. Clinical, imaging, and procedural variables were compared between the FR group and those with a favorable outcome (mRS 0-2) after successful reperfusion. Multivariable logistic regression was performed, including imaging markers and variables with p <0.1 in univariate analyses as covariates. Receiver-operating characteristic (ROC) analyses determined thresholds for ASPECTS and CBV-defined core volume, followed by sensitivity analyses. Results: A total of 531 patients underwent MT during the study period, of whom 136 met the inclusion criteria (mean age 78 ± 11 years, 70 women, 46 ICA occlusions, median ASPECTS 9; interquartile range, 7-10). FR was observed in 69 patients (50.8%). Compared with the favorable outcome group, the FR group had significantly older age, higher baseline NIHSS scores, higher prevalence of diabetes mellitus, lower ASPECTS, larger CBV-defined core volumes, and a greater total number of device passes. Multivariable logistic regression identified older age, higher NIHSS, diabetes mellitus, and a greater total number of device passes as consistently independent predictors of FR. ROC analysis identified CBV-defined core volume ≥28.5 mL as an independent predictor of FR (area under the curve [AUC] 0.62, p = 0.013; adjusted odds ratio [aOR] 3.09, 95% confidence interval [CI] 1.23-8.28; p = 0.02); this association remained significant at ≥30 mL (aOR 2.82, 95% CI 1.14-7.33; p = 0.02) but not at ≥40 mL. ASPECTS ≤8 was also associated with FR (AUC 0.64, p = 0.002; aOR 2.92, 95% CI 1.20-7.44; p = 0.02). Conclusion: Older age, baseline stroke severity, diabetes mellitus, and multiple device passes were major predictors of FR. Among imaging markers, a CBV-defined core volume of approximately 30 mL emerged as a clinically relevant threshold associated with increased FR risk. These findings suggest that integrating clinical, procedural, and imaging factors may help optimize patient selection, although validation in larger, multicenter studies is warranted.
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) | 0,000 | 0,000 |
| 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 | 0,000 |
| 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 ».