Spheno-orbital Meningiomas: Case Series and Surgical Outcomes following Frontotemporal-Orbitozygomatic Craniotomy
Notice bibliographique
Résumé
Introduction: Spheno-orbital meningiomas (SOM) pose significant surgical challenges due to their anatomical relationship with the orbit and critical neurovascular structures. Clinically, patients often present with visual symptoms, including proptosis and blurred vision, as well as generalized symptoms such as headaches or seizures secondary to mass effect and edema. This study aims to evaluate the outcomes of patients with SOMs managed with a frontotemporal-orbitozygomatic (FTOZ) skull base craniotomy, providing insights into outcomes and follow-up results. Methods: A retrospective chart review was conducted for patients who underwent an FTOZ performed by a single skull base neurosurgeon with over 30 years of experience. Patients were included if they had a meningioma on final pathological diagnosis. SOMs were defined based on the location of the tumor on the sphenoid bone and the orbit, including evidence of hyperostosis on CT scans. Patients’ demographic data, pathological diagnosis, operative notes, and clinical follow-up data were recorded from electronic medical records. FTOZ craniotomies were uniformly performed as previously published with an interfascial dissection technique. Results: Case review revealed 130 patients who underwent FTOZ craniotomies. Ten patients were included, eight females and two males, based on the initial chart review performed to date. The average age at the time of surgery was 54.5 ± 9.9 years, with a symptom duration of 1.6 ± 1.9 years. Fifty percent of patients had visual symptoms, and 30% had seizures and headaches. Retinal nerve fiber layer (RNFL) thickness data were available for four patients. Two of these patients had visual deficits, and their RNFL thickness on the affected side was decreased by 29.7 and 16.3% compared to their contralateral retina. The average size of the tumors was 4.1 ± 0.8 cm in the largest dimension, and 50% of them involved the cavernous sinus. Four patients received a Simpson grade IV resection, and the remainders were between grades I-III, distributed evenly. WHO grade II atypical meningiomas were found in 50% of the patients, and all but one (due to patient preference) received postoperative radiation therapy. Radiographic tumor recurrence was noted in one patient after 4.5 years of stable disease with a WHO grade II tumor. Visual acuity improved in all patients who had deficits preoperatively. The average length of follow-up was 2.7 ± 2.2 years from the time of surgery. Conclusion: SOMs pose a formidable challenge to skull base neurosurgeons. Presently, very few studies exist that classify these tumors based on anatomy and ophthalmological assessment. Our next steps include detailed radiographical and clinical phenotyping of all SOMs managed at our center to guide surgical management and improve predictors of symptom improvement. We will utilize Bayesian neural networks to form classification schemas to better characterize these lesions anatomically and clinically. Publication History Article published online: 07 February 2025 © 2025. Thieme. All rights reserved. Georg Thieme Verlag KG Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».