Suppr超能文献

定义前庭神经鞘瘤具有临床意义的肿瘤大小,以指导等待观察管理期间显微手术的时机:超越最小可检测生长。

Defining clinically significant tumor size in vestibular schwannoma to inform timing of microsurgery during wait-and-scan management: moving beyond minimum detectable growth.

作者信息

Macielak Robert J, Wallerius Katherine P, Lawlor Skye K, Lohse Christine M, Marinelli John P, Neff Brian A, Van Gompel Jamie J, Driscoll Colin L W, Link Michael J, Carlson Matthew L

机构信息

1Department of Otolaryngology-Head and Neck Surgery.

2Department of Quantitative Health Sciences; and.

出版信息

J Neurosurg. 2021 Oct 15;136(5):1289-1297. doi: 10.3171/2021.4.JNS21465. Print 2022 May 1.

Abstract

OBJECTIVE

Detection of vestibular schwannoma (VS) growth during observation leads to definitive treatment at most centers globally. Although ≥ 2 mm represents an established benchmark of tumor growth on serial MRI studies, 2 mm of linear tumor growth is unlikely to significantly alter microsurgical outcomes. The objective of the current work was to ascertain where the magnitude of change in clinical outcome is the greatest based on size.

METHODS

A single-institution retrospective review of a consecutive series of patients with sporadic VS who underwent microsurgical resection between January 2000 and May 2020 was performed. Preoperative tumor size cutpoints were defined in 1-mm increments and used to identify optimal size thresholds for three primary outcomes: 1) the ability to achieve gross-total resection (GTR); 2) maintenance of normal House-Brackmann (HB) grade I facial nerve function; and 3) preservation of serviceable hearing (American Academy of Otolaryngology-Head and Neck Surgery class A/B). Optimal size thresholds were obtained by maximizing c-indices from logistic regression models.

RESULTS

Of 603 patients meeting inclusion criteria, 502 (83%) had tumors with cerebellopontine angle (CPA) extension. CPA tumor size was significantly associated with achieving GTR, postoperative HB grade I facial nerve function, and maintenance of serviceable hearing (all p < 0.001). The optimal tumor size threshold to distinguish between GTR and less than GTR was 17 mm of CPA extension (c-index 0.73). In the immediate postoperative period, the size threshold between HB grade I and HB grade > I was 17 mm of CPA extension (c-index 0.65). At the most recent evaluation, the size threshold between HB grade I and HB grade > I was 23 mm (c-index 0.68) and between class A/B and C/D hearing was 18 mm (c-index 0.68). Tumors within 3 mm of the 17-mm CPA threshold displayed similarly strong c-indices. Among purely intracanalicular tumors, linear size was not found to portend worse outcomes for all measures.

CONCLUSIONS

The probability of incurring less optimal microsurgical outcomes begins to significantly increase at 14-20 mm of CPA extension. Although many factors ultimately influence decision-making, when considering timing of microsurgical resection, using a size threshold range as depicted in this study offers an evidence-based approach that moves beyond reflexively recommending treatment for all tumors after detecting ≥ 2 mm of tumor growth on serial MRI studies.

摘要

目的

在全球大多数中心,观察期间检测前庭神经鞘瘤(VS)的生长情况会促使进行确定性治疗。尽管≥2mm是连续MRI研究中已确立的肿瘤生长基准,但2mm的线性肿瘤生长不太可能显著改变显微手术结果。当前研究的目的是确定基于肿瘤大小,临床结果变化幅度最大的临界点。

方法

对2000年1月至2020年5月期间接受显微手术切除的一系列散发性VS患者进行单机构回顾性研究。术前肿瘤大小切点以1mm的增量定义,并用于确定三个主要结果的最佳大小阈值:1)实现全切除(GTR)的能力;2)维持House-Brackmann(HB)I级面神经功能正常;3)保留有用听力(美国耳鼻咽喉头颈外科学会A/B级)。通过最大化逻辑回归模型的c指数获得最佳大小阈值。

结果

在603例符合纳入标准的患者中,502例(83%)的肿瘤有小脑脑桥角(CPA)扩展。CPA肿瘤大小与实现GTR、术后HB I级面神经功能以及保留有用听力显著相关(所有p<0.001)。区分GTR和非GTR的最佳肿瘤大小阈值是CPA扩展17mm(c指数0.73)。在术后即刻,HB I级和HB>I级之间的大小阈值是CPA扩展17mm(c指数0.65)。在最近一次评估时,HB I级和HB>I级之间的大小阈值是23mm(c指数0.68),A/B级和C/D级听力之间的大小阈值是18mm(c指数0.68)。在距17mm CPA阈值3mm范围内的肿瘤显示出类似的强c指数。在纯内听道肿瘤中,未发现线性大小预示所有指标的预后更差。

结论

当CPA扩展达到14 - 20mm时,显微手术结果不太理想的可能性开始显著增加。尽管许多因素最终会影响决策,但在考虑显微手术切除时机时,使用本研究中描述的大小阈值范围提供了一种基于证据的方法,超越了在连续MRI研究中检测到肿瘤生长≥2mm后就 reflexively 推荐对所有肿瘤进行治疗的做法。

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