Development of a statistical model for discrimination of rupture status in posterior communicating artery aneurysms.
Felicitas J DetmerBong Jae ChungFernando MutMichael PritzMartin SlawskiFarid Hamzei-SichaniDavid KallmesChristopher PutmanCarlos JimenezJuan R CebralPublished in: Acta neurochirurgica (2018)
Statistical models based on a combination of patient age, angio-architecture, hemodynamics, and geometric characteristics can discriminate between ruptured and unruptured PCOM aneurysms with an AUC of 84%. It is important to include data from different hospitals to create models of aneurysm rupture that are valid across hospital populations.