Pollock Bruce E, Flickinger John C
Department of Neurological Surgery, Mayo Clinic and Foundation, Rochester, Minnesota 55905, USA.
J Neurosurg. 2002 Jan;96(1):79-85. doi: 10.3171/jns.2002.96.1.0079.
Radiosurgery is an effective treatment strategy for properly selected patients harboring arteriovenous malformations (AVMs). Grading scales that are currently used to predict patient outcomes after AVM resection are unreliable tools for the prediction of the results of AVM radiosurgery.
A grading system was developed to predict outcomes following AVM radiosurgery, based on the multivariate analysis of data obtained in 220 patients treated between 1987 and 1991 (Group 1). The dependent variable in all analyses was excellent patient outcome (complete AVM obliteration without any new neurological deficit). The grading scale was tested on a separate set of 136 patients with AVMs treated between 1990 and 1996 at a different center (Group 2). One hundred twenty-one (55%) of 220 Group 1 patients had excellent outcomes. Multivariate analysis identified five variables related to excellent patient outcomes: AVM volume (p = 0.001), patient age (p < 0.001), AVM location (p < 0.001), previous embolization (p = 0.02), and number of draining veins (p < 0.001). Regression analysis modeling permitted removal of two significant variables (previous embolization and number of draining veins) and resulted in the following equation to predict patient outcomes after AVM radiosurgery: AVM score = (0.1)(AVM volume in cm3) + (0.02)(patient age in years) + (0.3)(location of lesion: frontal or temporal) = 0; parietal, occipital, intraventricular, corpus callosum, cerebellar = 1; or basal ganglia, thalamic, or brainstem = 2). Seventy-nine (58%) of 136 Group 2 patients had excellent outcomes. All variables in the model remained significant for the Group 2 patients: AVM volume (p = 0.01), patient age (p = 0.01), and AVM location (p < 0.001). Testing of the entire model on the Group 2 patients demonstrated that the AVM score could be used to predict patient outcomes after radiosurgery (p < 0.0001). All patients with an AVM score of 1 or lower had an excellent outcome compared with only 39% of patients with an AVM score higher than 2. The Spetzler-Martin grade (p = 0.13), the K index (p = 0.26), and the obliteration prediction index (p = 0.21) did not correlate with excellent patient outcomes.
Despite significant differences in preoperative patient characteristics and dose prescription guidelines at the two centers, the proposed AVM grading system strongly correlated with patient outcomes after single-session radiosurgery for both patient groups. Although further testing of this model by independent centers using prospective methodology is still required, this system allows a more accurate prediction of outcomes from radiosurgery to guide choices between surgical and radiosurgical management for individual patients with AVMs.
对于经适当选择的患有动静脉畸形(AVM)的患者,放射外科手术是一种有效的治疗策略。目前用于预测AVM切除术后患者预后的分级量表,对于预测AVM放射外科手术的结果而言是不可靠的工具。
基于对1987年至1991年间接受治疗的220例患者(第1组)所获数据进行的多变量分析,开发了一种分级系统以预测AVM放射外科手术后的预后。所有分析中的因变量均为患者预后良好(AVM完全闭塞且无任何新的神经功能缺损)。该分级量表在另一中心于1990年至1996年间接受治疗的136例AVM患者的独立队列中进行了测试(第2组)。220例第1组患者中有121例(55%)预后良好。多变量分析确定了与患者预后良好相关的五个变量:AVM体积(p = 0.001)、患者年龄(p < 0.001)、AVM位置(p < 0.001)、既往栓塞治疗(p = 0.02)以及引流静脉数量(p < 0.001)。回归分析建模允许去除两个显著变量(既往栓塞治疗和引流静脉数量),并得出以下用于预测AVM放射外科手术后患者预后的方程:AVM评分 =(0.1)(AVM体积,单位为cm³)+(0.02)(患者年龄,单位为岁)+(0.3)(病变位置:额叶或颞叶 = 0;顶叶、枕叶、脑室内、胼胝体、小脑 = 1;或基底节、丘脑或脑干 =