OBJECTIVE: Arteriovenous malformations (AVMs) are difficult lesions to trea
t, partly because it is difficult to formulate a three-dimensional mental i
mage of the nidus and its supplying arteries, draining veins, and arteries
of passage. Our purpose is to develop personal computer software that allow
s better visualization of complex, three-dimensional, connected vascular an
atomy for surgical planning.
METHODS: Vessels are defined from magnetic resonance angiograms and are sym
bolically linked to form vascular trees. The nidus of the AVM is also defin
ed by magnetic resonance angiography. These representations of the nidus an
d vasculature can be viewed together in a software program that allows the
user to color-code groups of vessels or to selectively turn connected group
s of vessels "off" to avoid obscuring the part of the image that the user w
ants to observe. Structures can be viewed from any angle. The vessels can a
lso be shown intersecting any magnetic resonance angiogram slice or superim
posed upon digital subtraction angiograms obtained from the same patient.
RESULTS: We report results from two patients with AVMs in which our represe
ntations were compared with the findings during surgery. Our three-dimensio
nal vascular trees correctly depicted the relationship of the nidus to feed
ing vessels in three dimensions. We show findings in an additional, unopera
ted patient for whom vessel trees were created from three-dimensional digit
al subtraction angiography data and compared with a volume rendering of the
original data set.
CONCLUSION: Computer-assisted, three-dimensional visualizations of complex
vascular anatomy can be helpful in planning the surgical excision of AVMs.
Software programs that produce these images can provide important informati
on that is difficult to obtain by traditional techniques. This imaging meth
od is also applicable to guidance of endovascular procedures and removal of
complex tumors.