• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

胶质母细胞瘤中脑脊液和瘤周水肿体积的预后相关性

Prognostic relevance of CSF and peri-tumoral edema volumes in glioblastoma.

作者信息

Mummareddy Nishit, Salwi Sanjana R, Ganesh Kumar Nishant, Zhao Zhiguo, Ye Fei, Le Chi H, Mobley Bret C, Thompson Reid C, Chambless Lola B, Mistry Akshitkumar M

机构信息

School of Medicine, Vanderbilt University, Nashville, TN, United States.

Department of Surgery, Section of Plastic Surgery, University of Michigan Health System, Ann Arbor, MI, United States.

出版信息

J Clin Neurosci. 2021 Feb;84:1-7. doi: 10.1016/j.jocn.2020.12.014. Epub 2020 Dec 28.

DOI:10.1016/j.jocn.2020.12.014
PMID:33485591
Abstract

BACKGROUND

We conducted a segmental volumetric analysis of pre-operative brain magnetic resonance images (MRIs) of glioblastoma patients to identify brain- and tumor-related features that are prognostic of survival.

METHODS

Using a dataset of 210 single-institutional adult glioblastoma patients, total volumes of the following tumor- and brain-related features were quantified on pre-operative MRIs using a fully automated segmentation tool: tumor enhancement, tumor non-enhancement, tumor necrosis, peri-tumoral edema, grey matter, white matter, and cerebrospinal fluid (CSF). Their association with survival using Cox regression models, adjusting for the well-known predictors of glioblastoma survival. The findings were verified in a second dataset consisting of 96 glioblastoma patients from The Cancer Imaging Archive and The Cancer Genome Atlas (TCIA/TCGA).

RESULTS

CSF volume and edema were independently and consistently associated with overall survival of glioblastoma patients in both datasets. Greater edema was associated with increased hazard or decreased survival [adjusted hazard ratio (aHR) with 95% confidence interval (CI): 1.34 [1.08-1.67], p = 0.008 (institutional dataset); and, 1.44 [1.08-1.93], p = 0.013 (TCIA/TCGA dataset)]. Greater CSF volume also correlated with increased hazard or decreased survival [aHR 1.27 [1.02-1.59], p = 0.035 (institutional dataset), and 1.42 [1.03-1.95], p = 0.032 (TCIA/TCGA dataset)].

CONCLUSIONS

Higher brain CSF volume and higher edema levels at diagnosis are independently associated with decreased survival in glioblastoma patients. These results highlight the importance of a broader, quantitative brain-wide radiological analyses and invite investigations to understand tumor-related causes of increased edema and possibly increased CSF volume.

摘要

背景

我们对胶质母细胞瘤患者术前脑磁共振成像(MRI)进行了节段性容积分析,以确定与生存预后相关的脑和肿瘤特征。

方法

使用一个包含210例单机构成年胶质母细胞瘤患者的数据集,使用全自动分割工具在术前MRI上对以下肿瘤和脑相关特征的总体积进行量化:肿瘤强化、肿瘤非强化、肿瘤坏死、瘤周水肿、灰质、白质和脑脊液(CSF)。使用Cox回归模型分析它们与生存的关联,并对胶质母细胞瘤生存的已知预测因素进行校正。研究结果在第二个数据集(由来自癌症成像存档和癌症基因组图谱(TCIA/TCGA)的96例胶质母细胞瘤患者组成)中得到验证。

结果

在两个数据集中,脑脊液体积和水肿均与胶质母细胞瘤患者的总生存期独立且持续相关。水肿程度越高,风险增加或生存期缩短相关 [校正风险比(aHR)及95%置信区间(CI):1.34 [1.08 - 1.67],p = 0.008(机构数据集);以及1.44 [1.08 - 1.93],p = 0.013(TCIA/TCGA数据集)]。脑脊液体积越大也与风险增加或生存期缩短相关 [aHR 1.27 [1.02 - 1.59],p = 0.035(机构数据集),以及1.42 [1.03 - 1.95],p = 0.032(TCIA/TCGA数据集)]。

结论

诊断时较高的脑脑脊液体积和较高的水肿水平与胶质母细胞瘤患者生存期缩短独立相关。这些结果突出了更广泛、定量的全脑放射学分析的重要性,并促使开展研究以了解水肿增加及可能的脑脊液体积增加的肿瘤相关原因。

相似文献

1
Prognostic relevance of CSF and peri-tumoral edema volumes in glioblastoma.胶质母细胞瘤中脑脊液和瘤周水肿体积的预后相关性
J Clin Neurosci. 2021 Feb;84:1-7. doi: 10.1016/j.jocn.2020.12.014. Epub 2020 Dec 28.
2
Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival.癌症基因组图谱胶质母细胞瘤患者队列的多中心影像结果研究:总生存期和无进展生存期的影像预测因素
Neuro Oncol. 2015 Nov;17(11):1525-37. doi: 10.1093/neuonc/nov117. Epub 2015 Jul 22.
3
MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.MR 成像预测分子特征和生存:TCGA 胶质母细胞瘤数据集的多机构研究。
Radiology. 2013 May;267(2):560-9. doi: 10.1148/radiol.13120118. Epub 2013 Feb 7.
4
Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images.胶质母细胞瘤的预后影像生物标志物:基于多区域和磁共振图像定量分析的开发与独立验证
Radiology. 2016 Feb;278(2):546-53. doi: 10.1148/radiol.2015150358. Epub 2015 Sep 4.
5
Radiogenomics-Based Risk Prediction of Glioblastoma Multiforme with Clinical Relevance.基于放射组学的与临床相关的多形性胶质母细胞瘤风险预测。
Genes (Basel). 2024 Jun 1;15(6):718. doi: 10.3390/genes15060718.
6
Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma.基于影像组学的钆增强 T1wMRI 肿瘤微环境生存风险分层与胶质母细胞瘤的生物学过程相关。
Clin Cancer Res. 2020 Apr 15;26(8):1866-1876. doi: 10.1158/1078-0432.CCR-19-2556. Epub 2020 Feb 20.
7
Preoperative Two-Dimensional Size of Glioblastoma is Associated with Patient Survival.术前胶质母细胞瘤的二维大小与患者生存相关。
World Neurosurg. 2018 Jul;115:e448-e463. doi: 10.1016/j.wneu.2018.04.067. Epub 2018 Apr 18.
8
Radiogenomics model for overall survival prediction of glioblastoma.基于影像组学的胶质母细胞瘤总生存预测模型
Med Biol Eng Comput. 2020 Aug;58(8):1767-1777. doi: 10.1007/s11517-020-02179-9. Epub 2020 Jun 3.
9
Algorithmic three-dimensional analysis of tumor shape in MRI improves prognosis of survival in glioblastoma: a multi-institutional study.MRI中肿瘤形状的算法三维分析改善胶质母细胞瘤的生存预后:一项多机构研究
J Neurooncol. 2017 Mar;132(1):55-62. doi: 10.1007/s11060-016-2359-7. Epub 2017 Jan 10.
10
Identifying the survival subtypes of glioblastoma by quantitative volumetric analysis of MRI.通过磁共振成像的定量容积分析识别胶质母细胞瘤的生存亚型。
J Neurooncol. 2014 Aug;119(1):207-14. doi: 10.1007/s11060-014-1478-2. Epub 2014 May 15.

引用本文的文献

1
IGFBP-2 and IGF-II: Key Components of the Neural Stem Cell Niche? Implications for Glioblastoma Pathogenesis.胰岛素样生长因子结合蛋白-2与胰岛素样生长因子-II:神经干细胞生态位的关键组成部分?对胶质母细胞瘤发病机制的影响
Int J Mol Sci. 2025 May 15;26(10):4749. doi: 10.3390/ijms26104749.
2
Tumor Treating Fields (TTFields) Therapy and Lomustine Chemotherapy for the Treatment of Unresectable Progressive Glioblastoma.肿瘤电场(TTFields)疗法与洛莫司汀化疗联合治疗不可切除的进展性胶质母细胞瘤
Case Rep Oncol. 2024 Sep 23;17(1):1056-1062. doi: 10.1159/000540669. eCollection 2024 Jan-Dec.
3
Conventional and Advanced Magnetic Resonance Imaging Assessment of Non-Enhancing Peritumoral Area in Brain Tumor.
脑肿瘤中无强化瘤周区域的传统及高级磁共振成像评估
Cancers (Basel). 2023 May 30;15(11):2992. doi: 10.3390/cancers15112992.
4
Peritumor Edema Serves as an Independent Predictive Factor of Recurrence Patterns and Recurrence-Free Survival for High-Grade Glioma.瘤周水肿可作为高级别胶质瘤复发模式和无复发生存的独立预测因素。
Comput Math Methods Med. 2022 Jul 27;2022:9547166. doi: 10.1155/2022/9547166. eCollection 2022.
5
Glioblastoma disrupts the ependymal wall and extracellular matrix structures of the subventricular zone.胶质母细胞瘤破坏脑室下区的室管膜壁和细胞外基质结构。
Fluids Barriers CNS. 2022 Jul 11;19(1):58. doi: 10.1186/s12987-022-00354-8.