[Skull base meningiomas: a predictive system to know the extent of their surgical resection and patient outcome]

The aim of this study was to build a preoperative predictive system which could provide reliable information about: 1 degrees which skull base meningiomas can be total or partially removed, and 2 degrees their surgical outcome.

Patient histories and imaging data were reviewed retrospectively from 85 consecutive skull base meningiomas patients who underwent surgery from 1990 and 2002. From the preoperative data, nine variables were selected for conventional statistical analysis as regards their relationship with: 1 degrees total vs partial tumor resection and 2 degrees with patients outcome according to the degree of tumour removal.

From the nine variables analysed only two had a statistical association with the type of tumour resection performed (total vs partial) and the patient outcome: 1) arteries encasement and 2) cranial nerves involvement. Upon correlating these two variables with the type of tumour resection performed (total vs partial) and with the Karnofsky'scale to evaluate patients surgical outcome, the following grading groups were identified: Grade I: skull base meningiomas which did not involve cranial nerves or artery or only encased one artery or one cranial nerve. In these cases the incidence of gross tumour resection was 98.3% (p< 0.0001) and the perspective to reach 70 points in the Karnofsky'scale was of 96.5% ( p=0.001). Grade II: skull base meningiomas which involved one cranial nerve and encased, at least, two main cerebral arteries. In these cases, the frequency of total resection, decreased to 83.3% (p<0.0001) and the probability to reach 70 points in the Karnofsky'scale was 70.6% (p=0.001). Grade III: skull base meningiomas which involved two or more cranial nerves and encased several arteries In this group, the frequency of a total resection was of 42.9% (p<0.0001) and the probability of reaching 70 points in the Karnofsky'scale was only 60% (p=0.001).

We propose a preoperative grading system for skull base meningiomas that helps predicting both whether total or partial tumor removal will be achieved during surgery and the immediate postsurgical outcome of the patient. In applying this predictive system we will be able to reduce surgical morbidity, to advance the possibility of a radiosurgical treatment and give a more precise information to the patients and their families about our surgical decision-making process.