• 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

脑转移瘤的血管源性水肿模式。

Vasogenic Edema Pattern in Brain Metastasis.

机构信息

Department of Radiology, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey.

出版信息

J Coll Physicians Surg Pak. 2022 Aug;32(8):1020-1025. doi: 10.29271/jcpsp.2022.08.1020.

DOI:10.29271/jcpsp.2022.08.1020
PMID:35932126
Abstract

OBJECTIVE

To determine the relationship of the presence and amount of vasogenic edema with origin, type, and grade of primary cancer.

STUDY DESIGN

Cross-sectional study.

PLACE AND DURATION OF STUDY

Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Radiology Clinic, Ankara, Turkey, from July 2017 to October 2021.

METHODOLOGY

Brain MRI scans of 292 patients were retrospectively evaluated. Age, gender, origin, type, and grade of primary cancer were determined. Metastasis type, and presence of vasogenic edema accompanying metastatic lesion were questioned. In cases of vasogenic edema accompanying metastatic lesions, the largest diameter of the vasogenic edema mass complex was measured in T2 sequences. In the contrast-enhanced series, the largest diameter of the metastatic lesion was measured, and the edema-mass ratio (EMR) was calculated by proportioning the diameter of the edema mass complex to the diameter of the mass.

RESULTS

The frequency of vasogenic edema was found higher in patients with lung cancer compared to other primaries. The EMR was found statistically significantly higher in patients with primary lung cancer (p=0.001). This was particularly evident in the adenocarcinoma group. In the patient group with primary breast cancer, EMR was found significantly lower in patients with invasive ductal carcinoma. (IDC→1.95±0.66 vs. Other→2.48±0.52, Z=-2.301, p=0.021).

CONCLUSION

The amount and presence of vasogenic edema in patients with brain metastases may differ according to the origin and type of primary tumour.

KEY WORDS

Brain edema, Metastatic disease, Magnetic resonance imaging.

摘要

目的

确定血管源性水肿的存在和程度与原发性肿瘤的起源、类型和分级的关系。

研究设计

横断面研究。

地点和研究时间

土耳其安卡拉肿瘤培训与研究医院放射科,2017 年 7 月至 2021 年 10 月。

方法

回顾性评估了 292 例患者的脑部 MRI 扫描。确定了年龄、性别、原发肿瘤的起源、类型和分级。询问了转移性病变伴发血管源性水肿的转移类型和存在情况。在伴有转移性病变的血管源性水肿的情况下,在 T2 序列中测量血管源性水肿肿块复合体的最大直径。在增强系列中,测量转移性病变的最大直径,并通过将水肿肿块复合体的直径与肿块的直径成比例来计算水肿-肿块比(EMR)。

结果

与其他原发性肿瘤相比,肺癌患者中血管源性水肿的发生率更高。原发性肺癌患者的 EMR 显著更高(p=0.001)。腺癌组尤其明显。在原发性乳腺癌患者组中,浸润性导管癌患者的 EMR 明显较低(IDC→1.95±0.66 vs. 其他→2.48±0.52,Z=-2.301,p=0.021)。

结论

脑转移患者血管源性水肿的量和存在可能因原发肿瘤的起源和类型而异。

关键词

脑水肿,转移性疾病,磁共振成像。

相似文献

1
Vasogenic Edema Pattern in Brain Metastasis.脑转移瘤的血管源性水肿模式。
J Coll Physicians Surg Pak. 2022 Aug;32(8):1020-1025. doi: 10.29271/jcpsp.2022.08.1020.
2
The relationship of T2 hypointensity and diffusion restriction of brain metastases with the presence and amount of vasogenic edema in MRI.脑转移瘤 T2 低信号强度和弥散受限与 MRI 中血管源性水肿的存在和程度的关系。
Neuroradiol J. 2023 Aug;36(4):460-463. doi: 10.1177/19714009221150847. Epub 2023 Jan 4.
3
On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images.基于术前和术后 MRI 图像的支持向量机分类器在高级别胶质瘤患者中对血管源性水肿和无强化肿瘤的鉴别。
Eur J Radiol. 2018 Sep;106:199-208. doi: 10.1016/j.ejrad.2018.07.018. Epub 2018 Jul 20.
4
Differentiation of pure vasogenic edema and tumor-infiltrated edema in patients with peritumoral edema by analyzing the relationship of axial and radial diffusivities on 3.0T MRI.通过分析3.0T磁共振成像(MRI)上轴向和径向扩散率之间的关系,鉴别肿瘤周围水肿患者的单纯血管源性水肿和肿瘤浸润性水肿。
Clin Neurol Neurosurg. 2013 Aug;115(8):1366-70. doi: 10.1016/j.clineuro.2012.12.031. Epub 2013 Jan 23.
5
Differential cortical thickness across the central sulcus: a method for identifying the central sulcus in the presence of mass effect and vasogenic edema.中央沟两侧皮质厚度差异:一种在存在占位效应和血管源性水肿时识别中央沟的方法。
AJNR Am J Neuroradiol. 2006 Aug;27(7):1450-3.
6
Role of mass effect, tumor volume and peritumoral edema volume in the differential diagnosis of primary brain tumor and metastasis.占位效应、肿瘤体积及瘤周水肿体积在原发性脑肿瘤与脑转移瘤鉴别诊断中的作用
Clin Neurol Neurosurg. 2016 Sep;148:67-71. doi: 10.1016/j.clineuro.2016.07.008. Epub 2016 Jul 4.
7
Differentiation between vasogenic-edema versus tumor-infiltrative area in patients with glioblastoma during bevacizumab therapy: a longitudinal MRI study.贝伐单抗治疗期间胶质母细胞瘤患者血管源性水肿与肿瘤浸润区域的鉴别:一项纵向MRI研究
Eur J Radiol. 2014 Jul;83(7):1250-1256. doi: 10.1016/j.ejrad.2014.03.026. Epub 2014 Apr 12.
8
Quantitative apparent diffusion coefficients in the characterization of brain tumors and associated peritumoral edema.定量表观扩散系数在脑肿瘤及相关瘤周水肿特征描述中的应用
Acta Radiol. 2009 Jul;50(6):682-9. doi: 10.1080/02841850902933123.
9
Evaluation of brain metastasis edema in breast cancer patients as a marker for Ki-67 and cell count-A single center analysis.评估乳腺癌患者脑转移水肿作为 Ki-67 和细胞计数的标志物:一项单中心分析。
Neuroradiol J. 2024 Apr;37(2):178-183. doi: 10.1177/19714009231224443. Epub 2023 Dec 22.
10
Statistical analysis of multi-b factor diffusion weighted images can help distinguish between vasogenic and tumor-infiltrated edema.多b因子扩散加权图像的统计分析有助于区分血管源性水肿和肿瘤浸润性水肿。
J Magn Reson Imaging. 2014 Sep;40(3):622-9. doi: 10.1002/jmri.24399. Epub 2013 Nov 4.

引用本文的文献

1
Habitat-based MRI radiomics to predict the origin of brain metastasis.基于体素的MRI影像组学预测脑转移瘤的起源
Med Phys. 2025 May;52(5):3075-3087. doi: 10.1002/mp.17610. Epub 2025 Jan 6.
2
A systematic review of brain metastases from lung cancer using magnetic resonance neuroimaging: Clinical and technical aspects.应用磁共振神经影像学对肺癌脑转移瘤的系统评价:临床和技术方面。
J Med Radiat Sci. 2024 Jun;71(2):269-289. doi: 10.1002/jmrs.756. Epub 2024 Jan 18.
3
Automated identification and quantification of metastatic brain tumors and perilesional edema based on a deep learning neural network.
基于深度学习神经网络的脑转移瘤及瘤周水肿的自动识别与定量
J Neurooncol. 2024 Jan;166(1):167-174. doi: 10.1007/s11060-023-04540-y. Epub 2023 Dec 22.