Cerebral cavernous malformations (CCMs) are vascular lesions composed of abnormally enlarged small blood vessels and are characterized by symptoms such as seizures and hemorrhages. In this study, we explore the relationship between serial MR imaging metrics and clinical markers of CCM disease severity. A semi-automated algorithm was applied on 57 patients to segment lesions. Age was associated with lesion count and obesity was inversely related to the lesion count. The lesion burdens in brainstem and temporal lobe were related to hemorrhagic and seizure events. These imaging metrics can function as surrogate markers for risk stratification in these patients.