Radiological Determinants of Postoperative Meningioma Remnants Progression
Notice bibliographique
Résumé
Meningioma resection remains partial in over 25% of cases, with few known predictors of progression of residual disease. The aim of this study is to identify radiological determinants influencing progression of meningioma remnants after surgery. Such predictors may prove useful in identifying patients at elevated risk of recurrence and influence intraoperative decision-making regarding completeness of meningioma resection. This is a retrospective cohort study conducted on postoperative meningioma remnants. Various factors such as residue and initial tumor volume, residue attachment (dura, vessel, etc.), and T1 post-gadolinium and T2 intensity on MRI were assessed. Preoperative and postoperative volumetric data was collected for each lesion using three-dimensional segmentation software by two independent observers. Tumor growth rates were calculated based on this volumetric data. Recurrence was defined as a 25% increase in volume of the residue based on the first postoperative imaging. Sixty-one residues in 59 patients were included in this study. All lesions received a pathological diagnosis of a WHO grade 1 meningioma. Mean preoperative and first postoperative volumes were measured at 30.007 and 2.507 mL, respectively. Fifty-five lesions (90%) demonstrated attachment to the dura mater with no significant differences in recurrence. Altogether 51% of lesions showed attachment to a major blood vessel, 39% of lesions to a nerve, 10% to the brain parenchyma and 30% were localized within interdural space. Attachment to a blood vessel was significantly associated with lower recurrence rates (35 vs. 63%, p = 0.032). Interdural space residues demonstrated higher recurrence rates and lower cumulative survival rates through multivariate models (HR = 2.996, 95% CI: [1.233, 7.276]). Intensity ratios both preoperatively and postoperatively failed to demonstrate any difference in recurrence rates. Although larger preoperative volumes and maximal diameters showed elevated risks of recurrence through univariate analysis, they failed to detect any difference in multivariate models. Both univariate and multivariate models associated higher recurrence rates to extensive resections (low ratios of early postoperative to preoperative volume); however, patient survival remained unaffected. The attachments of meningioma residues to their environment were demonstrated to have a significant impact on their progression. This knowledge might influence intraoperative decision-making regarding the completeness of resection and location of residual disease voluntary left in place in some 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 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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| 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 ».