Abstract
Objective: Computer-assisted neuronavigation was used in 87 cases of skull base lesions (SBLs).
Preoperative planning and intraoperative identification of anatomic landmarks is especially
important in SBLs since it helps to avoid or minimize surgical morbidity and mortality.
In this study, we assessed the accuracy and the clinical usefulness of a frameless
system based on the optical digitizer in SBLs. Patients and Methods: Between April 2000 and March 2003, eighty-seven patients with SBLs were operated
on in our department using cranial neuronavigation. A passive-marker-based neuronavigation
system was used for intraoperative image guidance. There were 56 women and 31 men.
The patient's ages ranged from 4 to 76 years (average: 45.7 year). The locations of
the tumors reported in this series were as follows: frontobasal, 24 cases; sellar/parasellar,
32 cases; petroclival, 16 cases; tentorial/subtemporal, 15 cases. Results: The computer-calculated registration accuracy ranged between 0.3 and 1.7 mm (mean,
1.1 mm). Gross total removal of the SBLs was accomplished in 82 out of 87 patients
as was confirmed on postoperative CT and MRI scans. The follow-up period ranged from
1 month to 48 months (average: 20.1 months). Overall mortality and severe morbidity
(meningitis, permanent cranial nerve deficits, and cerebrospinal fluid fistulae) rates
were 4.6 % and 33.3 %, respectively. Conclusion: The image-guided surgery is a valuable aid for safe, helpful and complete removal
of SBLs of the brain where accurate localization of the lesion is critical. Although
our preliminary series is not large, interactive image guidance provides a constant
display of surgical instrument position during surgery and its relationship with the
SBLs components, surrounding normal brain, and vascular structures, providing valuable
guidance to the surgeon during an operation. Our experience with the neuronavigation
suggests that image guidance is helpful in this type of lesions, providing better
anatomic orientation during skull base surgery, delineating tumor margins and their
relation to critical neurovascular structures.
Key words
Skull base tumors - frameless stereotaxy - neuronavigation
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Ali Kurtsoy, M. D.
Department of Neurosurgery · Erciyes University · Medical School
38039 Kayseri
Turkey
Phone: +90-352-437-4574
Fax: +90-352-437-2934
Email: kurtsoya@erciyes.edu.tr