...
首页> 外文期刊>Journal of neurosurgery. >A proposed radiosurgery-based grading system for arteriovenous malformations.
【24h】

A proposed radiosurgery-based grading system for arteriovenous malformations.

机译:一个提议的基于放射外科的动静脉畸形分级系统。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

OBJECT: 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. METHODS: 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. CONCLUSIONS: 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.
机译:目的:放射外科手术是一种有效的治疗策略,适用于选择适当的具有动静脉畸形(AVM)的患者。当前用于预测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。方法:根据对1987年至1991年间治疗的220例患者(组1)中获得的数据进行多变量分析,开发了一种分级系统来预测AVM放射手术后的结局。在所有分析中,因变量是出色的患者预后(完全的AVM消除,没有任何新的神经功能缺损)。该分级量表是在1990年至1996年之间在不同中心(第2组)单独治疗的136例AVM患者中测试的。 220例1组患者中的121例(55%)的预后良好。多变量分析确定了与出色患者预后相关的五个变量:AVM体积(p = 0.001),患者年龄(p <0.001),AVM位置(p <0.001),先前的栓塞(p = 0.02)和引流静脉数(p <0.001)。回归分析模型允许去除两个重要变量(先前的栓塞和引流静脉数),并得出以下等式来预测AVM放射外科手术后的患者结果:AVM得分=(0.1)(AVM体积cm3)+(0.02)(患者年龄(岁)+(0.3)(病变位置:额叶或颞叶)= 0;顶叶,枕叶,脑室内,call体,小脑= 1;或基底神经节,丘脑或脑干= 2)。 136例第二组患者中有79例(58%)的预后良好。对于第2组患者,模型中的所有变量均保持显着性:AVM体积(p = 0.01),患者年龄(p = 0.01)和AVM位置(p <0.001)。对第2组患者的整个模型的测试表明,AVM评分可用于预测放射外科手术后的患者结局(p <0.0001)。与只有39%的AVM得分高于2的患者相比,所有AVM得分为1或更低的患者均具有优异的预后。Spetzler-Martin评分(p = 0.13),K指数(p = 0.26)和闭塞预测指数(p = 0.21)与患者的良好结局无关。结论:尽管两个中心的术前患者特征和剂量处方指南存在显着差异,但对于两个患者组,建议的AVM分级系统与单次手术后的患者结局密切相关。尽管仍然需要由独立中心使用前瞻性方法对该模型进行进一步测试,但是该系统可以更准确地预测放射外科手术的结果,以指导AVM个体患者在手术和放射外科治疗之间进行选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号