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分期立体定向放射外科治疗后行显微手术切除:一种治疗巨大脑动静脉畸形的新方法:技术病例报告

Staged volume radiosurgery followed by microsurgical resection: a novel treatment for giant cerebral arteriovenous malformations: technical case report.

作者信息

Firlik A D, Levy E I, Kondziolka D, Yonas H

机构信息

Department of Neurological Surgery, University of Pittsburgh Medical Center, Pennsylvania 15213, USA.

出版信息

Neurosurgery. 1998 Nov;43(5):1223-8. doi: 10.1097/00006123-199811000-00124.

Abstract

OBJECTIVE AND IMPORTANCE

We describe the successful treatment of symptomatic giant arteriovenous malformations (AVMs) using staged volume radiosurgery followed by microsurgical resection.

CLINICAL PRESENTATION

A 57-year-old man presented with Spetzler-Martin Grade 5 AVMs, with persistent headaches and seizures. He had previously undergone eight attempts at AVM embolization and a craniotomy for attempted AVM resection; he had suffered four episodes of brain hemorrhaging but had made a good neurological recovery.

INTERVENTION

Because of the persistent symptoms of the patient and his history of hemorrhaging, a treatment plan based on staged radiosurgical treatments of different portions of the AVMs (three sessions, spaced 6 mo apart), followed by delayed microsurgical removal of the much-reduced residual AVMs (3 years later), was undertaken. The patient did not suffer any additional hemorrhaging episodes, his AVMs were completely removed, and he has made a good recovery.

CONCLUSION

Staged volume radiosurgery followed by microsurgical resection of the residual AVMs represents a novel treatment strategy for the management of Grade 5 AVMs that might be untreatable by any single treatment method used alone.

摘要

目的与重要性

我们描述了采用分期容积立体定向放射外科治疗,随后进行显微手术切除,成功治疗有症状的巨大动静脉畸形(AVM)。

临床表现

一名57岁男性患有斯佩茨勒 - 马丁5级AVM,伴有持续性头痛和癫痫发作。他此前曾8次尝试进行AVM栓塞,并接受过一次开颅手术试图切除AVM;他曾发生过4次脑出血,但神经功能恢复良好。

干预措施

鉴于患者的持续症状及其出血病史,制定了一个治疗方案,即对AVM的不同部分进行分期立体定向放射外科治疗(分3次,间隔6个月),随后延迟3年进行显微手术切除大幅缩小的残余AVM。患者未再发生任何出血事件,其AVM被完全切除,且恢复良好。

结论

分期容积立体定向放射外科治疗,随后对残余AVM进行显微手术切除,代表了一种治疗5级AVM的新策略,而单独使用任何单一治疗方法可能无法治疗此类AVM。

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