Endoscopic Endonasal Approach Is Superior to Transcranial Approach for Small to Medium Tuberculum Sellae Meningiomas in Terms of Visual Outcome and Complications: A Retrospective Study in a Single Center.

来自 PUBMED

作者:

Mo JHasegawa HShin MShinya YArisawa KUmekawa MJiang XMiyawaki SNishijima HKondo KSaito N

展开

摘要:

This study compared the effectiveness of the endoscopic endonasal approach (EEA) with the conventional transcranial approach (TCA) for treating tuberculum sellae meningiomas (TSMs), aiming to identify the superior surgical method and the risk factors affecting outcomes. Patients treated for TSM from 1998 to 2023 at our institution were retrospectively analyzed, evaluating patient characteristics, tumor features, outcomes, and complications. A novel grading system for preoperative evaluation of TSMs was proposed. Among 49 patients, 26 underwent EEA and 23 underwent TCA. The maximum diameters were comparable between the groups (mean 22 mm vs. 23 mm). Gross total resection rates were 62% for EEA and 70% for TCA, showing no significant difference. However, postsurgical visual improvement was significantly higher in the EEA group compared with the TCA group (77% vs. 44%; P = 0.020), with fewer complications in the EEA group (8% vs. 35%; P = 0.032). EEA is a safe and effective treatment approach for small to medium TSMs, with outcomes comparable to TCA in terms of resection but superior in visual improvement and fewer complications. Selection of surgical approach should consider patient and tumor characteristics as well as surgeon experience.

收起

展开

DOI:

10.1016/j.wneu.2024.07.010

被引量:

0

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(105)

参考文献(0)

引证文献(0)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读