Prestigiacomo et al developed a model for predicting rupture of a cerebral aneurysm based on findings seen on CT angiography. This can help to identify a patient who may benefit from more aggressive management. The authors are from the University of Medicine and Dentistry of New Jersey in Newark.

Patient selection: cerebral aneurysm


Outcome: rupture


Exam: CT angiography



(1) volume in cubic cm

(2) height of the aneurysm in the plane perpendicular to arterial blood flow in mm

(3) location of the aneurysm

(4) age of the patient in years





volume in cc


-0.457 * (volume)

height in mm


0.254 * (height)


anterior communicating



basilar artery



internal carotid artery



middle cerebral



posterior communicating


age in years


-0.023 * (age)


value of X =

= SUM(points for the 4 parameters) + 1.127


probability of rupture =

= 1 / (1+EXP((-1) * X))

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