# Predictors of seizure as presenting symptom of cerebral cavernomas

## TL;DR

This study identifies lesion volume, hemorrhage, and brain location as key factors predicting seizures in cerebral cavernomas, which could improve patient management.

## Contribution

The study establishes objective volumetric thresholds for seizure risk in cerebral cavernous malformations.

## Key findings

- Lesions ≥ 80 mm³ have significantly higher odds of seizures on presentation.
- Hemorrhagic presentation and frontal or temporal location are independent predictors of seizures.
- Demographic and pharmacologic factors were not predictive of seizure risk.

## 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.