Suppr超能文献

前庭神经鞘瘤的综合分类系统。

A comprehensive classification system of vestibular schwannomas.

作者信息

Sekiya T, Hatayama T, Shimamura N, Suzuki S

机构信息

Department of Neurosurgery, Hirosaki University School of Medicine, Japan.

出版信息

J Clin Neurosci. 2000 Mar;7(2):129-33. doi: 10.1054/jocn.1999.0179.

Abstract

Because traditional classifications of vestibular schwannomas (according to relative size) cannot comprehensively describe lesions that grow in different patterns after arising in regions as diverse as the cerebellopontine (CP) angle, the internal auditory canal, and the region lateral to the fundus of the internal auditory canal (labyrinth), we developed a new system to classify vestibular schwannomas, a system that describes the anatomical structures involved by the tumour, rather than size alone. The vestibular schwannoma is classified first by location and then by extent. Our system provides surgeons information helpful in choosing the surgical approach, in estimating the difficulty of tumour excision, and in determining whether hearing might be preserved. Our system also avoids confusion and misunderstanding in discussions of treatment results because it reflects the diverse biological characteristics of vestibular schwannomas.

摘要

由于传统的前庭神经鞘瘤分类(根据相对大小)无法全面描述起源于不同区域(如桥小脑角、内耳道以及内耳道底部外侧区域即迷路)后以不同模式生长的病变,我们开发了一种新的前庭神经鞘瘤分类系统,该系统描述肿瘤所累及的解剖结构,而非仅仅依据大小。前庭神经鞘瘤首先按位置分类,然后按范围分类。我们的系统为外科医生提供了有助于选择手术入路、评估肿瘤切除难度以及确定听力是否可保留的信息。我们的系统还避免了在治疗结果讨论中出现混淆和误解,因为它反映了前庭神经鞘瘤多样的生物学特性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验