Department of Neurological Surgery, University of California, San Francisco, San Francisco, California 94143-0112, USA.
Neurosurgery. 2012 Dec;71(6):1111-24. doi: 10.1227/NEU.0b013e318271c081.
Anatomic diversity among cerebellar arteriovenous malformations (AVMs) calls for a classification that is intuitive and surgically informative. Selection tools like the Spetzler-Martin grading system are designed to work best with cerebral AVMs but have shortcomings with cerebellar AVMs.
To define subtypes of cerebellar AVMs that clarify anatomy and surgical management, to determine results according to subtypes, and to compare predictive accuracies of the Spetzler-Martin and supplementary systems.
From a consecutive surgical series of 500 patients, 60 had cerebellar AVMs, 39 had brainstem AVMs and were excluded, and 401 had cerebral AVMs.
Cerebellar AVM subtypes were as follows: 18 vermian, 13 suboccipital, 12 tentorial, 12 petrosal, and 5 tonsillar. Patients with tonsillar and tentorial AVMs fared best. Cerebellar AVMs presented with hemorrhage more than cerebral AVMs (P < .001). Cerebellar AVMs were more likely to drain deep (P = .04) and less likely to be eloquent (P < .001). The predictive accuracy of the supplementary grade was better than that of the Spetzler-Martin grade with cerebellar AVMs (areas under the receiver-operating characteristic curve, 0.74 and 0.59, respectively). The predictive accuracy of the supplementary system was consistent for cerebral and cerebellar AVMs, whereas that of the Spetzler-Martin system was greater with cerebral AVMs.
Patients with cerebellar AVMs present with hemorrhage more often than patients with cerebral AVMs, justifying an aggressive treatment posture. The supplementary system is better than the Spetzler-Martin system at predicting outcomes after cerebellar AVM resection. Key components of the Spetzler-Martin system such as venous drainage and eloquence are distorted by cerebellar anatomy in ways that components of the supplementary system are not.
小脑动静脉畸形(AVM)的解剖结构存在多样性,因此需要一种直观且具有手术指导意义的分类方法。Spetzler-Martin 分级系统等选择工具旨在最适合大脑 AVM,但在小脑 AVM 中存在不足。
定义明确解剖结构和手术管理的小脑 AVM 亚型,根据亚型确定结果,并比较 Spetzler-Martin 分级系统和补充系统的预测准确性。
从连续的 500 例手术系列中,有 60 例小脑 AVM,39 例脑干 AVM 被排除在外,401 例大脑 AVM。
小脑 AVM 亚型包括:18 例蚓部,13 例枕下部,12 例天幕部,12 例岩部和 5 例扁桃体部。扁桃体和天幕部 AVM 患者的预后最好。小脑 AVM 比大脑 AVM 更易发生出血(P < .001)。小脑 AVM 更倾向于深部引流(P = .04),而不太可能是语言功能区(P < .001)。补充分级的预测准确性优于 Spetzler-Martin 分级(小脑 AVM 的受试者工作特征曲线下面积分别为 0.74 和 0.59)。补充系统对大脑和小脑 AVM 的预测准确性一致,而 Spetzler-Martin 系统对大脑 AVM 的预测准确性更高。
与大脑 AVM 患者相比,小脑 AVM 患者更常发生出血,这证明了积极治疗的必要性。在预测小脑 AVM 切除术后结果方面,补充系统优于 Spetzler-Martin 系统。Spetzler-Martin 系统的关键组成部分,如静脉引流和语言功能区,受小脑解剖结构的影响而失真,而补充系统的组成部分则不会。