Predictors of seizure as presenting symptom of cerebral cavernomas

Cerebral cavernous malformations (CCMs) are vascular lesions frequently presenting with seizures on presentation. Studies have widely analyzed topography as a determinant of epileptogenesis. However, the association between lesion volumetry and epileptic risk remains poorly investigated, as no objective volumetric thresholds have been established to stratify seizure risk. We conducted a multicentric case–control study including 230 adult patients with CCMs. Patients were grouped according to their initial presentation: seizure (n = 75) versus non-seizure (n = 155). We calculated the volumes of the lesions using the ABC/2 method and categorized them into quartiles. Subsequently, we run a multivariate logistic regression assessing independent predictors of epilepsy, adjusting for demographic, clinical, and radiological factors. We also estimated the diagnostic accuracy of lesion volume thresholds (> 11.9 mm3, > 80 mm3, > 300 mm3). Lesion volume was significantly associated with epileptic risk. Lesions ≥ 80 mm3 were shown to have higher odds of seizures on presentation (OR 86.4, 95% CI 9.94–751). We found hemorrhagic presentation (OR 60.3, 95% CI 6.50–558) and frontal or temporal location (OR 6.34, 95% CI 2.99–113.4) to be also independent predictors of seizure. Differently, demographic and pharmacologic factors were not independently predictive. Lesion volume, hemorrhage, andfrontal or temporal lobe location were found to be the major predictors of epileptic seizure as first manifestation. Therefore, incorporating volumetric assessment into routine MRI evaluation, after establishing absolute thresholds, may improve individualized risk stratification and guide early management decisions.

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Publication Details

Journal
Neurosurgical Review
Published
2026-03-28
DOI
https://doi.org/10.1007/s10143-026-04246-5
Primary Topic
Vascular Malformations Diagnosis and Treatment
Type
article
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article

Predictors of seizure as presenting symptom of cerebral cavernomas

De Bonis Pasquale, Mantovani Giorgio, Scerrati Alba, Sturiale Carmelo Lucio et al.
Neurosurgical Review
Vascular Malformations Diagnosis and Treatment
article

Predictors of seizure as presenting symptom of cerebral cavernomas

De Bonis Pasquale, Mantovani Giorgio, Scerrati Alba, Sturiale Carmelo Lucio, Alessio Albanese, Flacco Maria Elena, Palermo Matteo
article en

Abstract

Cerebral cavernous malformations (CCMs) are vascular lesions frequently presenting with seizures on presentation. Studies have widely analyzed topography as a determinant of epileptogenesis. However, the association between lesion volumetry and epileptic risk remains poorly investigated, as no objective volumetric thresholds have been established to stratify seizure risk. We conducted a multicentric case–control study including 230 adult patients with CCMs. Patients were grouped according to their initial presentation: seizure (n = 75) versus non-seizure (n = 155). We calculated the volumes of the lesions using the ABC/2 method and categorized them into quartiles. Subsequently, we run a multivariate logistic regression assessing independent predictors of epilepsy, adjusting for demographic, clinical, and radiological factors. We also estimated the diagnostic accuracy of lesion volume thresholds (> 11.9 mm3, > 80 mm3, > 300 mm3). Lesion volume was significantly associated with epileptic risk. Lesions ≥ 80 mm3 were shown to have higher odds of seizures on presentation (OR 86.4, 95% CI 9.94–751). We found hemorrhagic presentation (OR 60.3, 95% CI 6.50–558) and frontal or temporal location (OR 6.34, 95% CI 2.99–113.4) to be also independent predictors of seizure. Differently, demographic and pharmacologic factors were not independently predictive. Lesion volume, hemorrhage, andfrontal or temporal lobe location were found to be the major predictors of epileptic seizure as first manifestation. Therefore, incorporating volumetric assessment into routine MRI evaluation, after establishing absolute thresholds, may improve individualized risk stratification and guide early management decisions.

Neurosurgical ReviewVol. 49(1)
Università Cattolica del Sacro Cuore (IT), University of Ferrara (IT), Agostino Gemelli University Polyclinic (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), St. Anna Hospital (DE)
Openalex Percentile: Top 13%
Vascular Malformations Diagnosis and Treatment
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