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伽玛刀放射外科治疗散发性前庭神经鞘瘤后肿瘤演变的动力学:定义表征个体轨迹的体积模式。

Dynamics of tumor evolution after Gamma Knife radiosurgery for sporadic vestibular schwannoma: Defining volumetric patterns characterizing individual trajectory.

作者信息

Balossier Anne, Olteanu Madalina, Delsanti Christine, Troude Lucas, Thomassin Jean-Marc, Roche Pierre-Hugues, Chavent Marie, Régis Jean

机构信息

Aix Marseille University, INSERM, INS, Inst Neurosci Syst, Marseille, France.

Functional and Stereotactic Neurosurgery, AP-HM, Timone Hospital, Marseille, France.

出版信息

Neuro Oncol. 2025 Feb 10;27(2):545-556. doi: 10.1093/neuonc/noae187.

Abstract

BACKGROUND

The definition of tumor control and treatment failure after Gamma Knife radiosurgery (GKRS) for vestibular schwannoma (VS) is still debated. The lack of knowledge on the dynamics of tumor evolution can lead to misinterpretation and subsequent inappropriate second treatment. The aim of this study was to evaluate the post-GKRS dynamics of the evolution of tumor volume and characterize volumetric patterns.

METHODS

We included patients with sporadic VS treated by GKRS with an MRI follow-up of a minimum of 3 years. A clustering was performed in 2 steps: Definition of the patterns of evolution based on a subset of patients with the most comprehensive follow-up, and then the assignment of the remaining patients on a best-fit basis. The minimum length of follow-up was assessed by measuring the consistency of the clusters over time (adjusted rand index and normalized mutual information). An analysis of the discriminant variables was finally performed.

RESULTS

A total of 1607 patients were included (median follow-up: 67 months). Five patterns were defined with 1 pattern gathering almost all cases of treatment failure. The clustering at 5 years afforded the highest consistency with long-term follow-up. Discriminant variables for clusters were as follows: sex, initial symptoms, delay of diagnosis, Koos grading, fundus invasion, and number of isocenters.

CONCLUSIONS

The definition of these robust distinct patterns is likely to help the physicians tremendously to distinguish tumor control from potential failure. We advocate for no retreatment decision before 5 years post-GKRS. Further investigations are required to decide if the dynamics of evolution can be predicted at GKRS on an individual basis.

摘要

背景

伽玛刀放射外科治疗(GKRS)前庭神经鞘瘤(VS)后肿瘤控制和治疗失败的定义仍存在争议。对肿瘤演变动态缺乏了解可能导致误解以及随后不适当的二次治疗。本研究的目的是评估GKRS后肿瘤体积演变的动态变化并描述体积模式。

方法

我们纳入了接受GKRS治疗的散发性VS患者,其MRI随访至少3年。聚类分两步进行:基于随访最全面的患者子集定义演变模式,然后将其余患者以最佳拟合为基础进行分配。通过测量聚类随时间的一致性(调整兰德指数和归一化互信息)来评估最短随访时间。最后对判别变量进行分析。

结果

共纳入1607例患者(中位随访时间:67个月)。定义了五种模式,其中一种模式几乎涵盖了所有治疗失败的病例。5年时的聚类与长期随访的一致性最高。聚类的判别变量如下:性别、初始症状、诊断延迟、库斯分级、基底侵犯和等中心点数量。

结论

这些稳健且不同的模式定义可能极大地帮助医生区分肿瘤控制与潜在失败。我们主张在GKRS后5年内不做再次治疗的决定。需要进一步研究以确定是否可以在GKRS时根据个体情况预测演变动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7eb5/11812029/7fe6d9838bcf/noae187_fig1.jpg

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