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
Parameters:
(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
Parameter
Finding
Points
volume in cc
-0.457 * (volume)
height in mm
0.254 * (height)
location
anterior communicating
-0.334
basilar artery
-1.184
internal carotid artery
-2.262
middle cerebral
-1.214
posterior communicating
0
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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