• 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

相似文献

1
Brainstem glioma: Prediction of histopathologic grade based on conventional MR imaging.脑干胶质瘤:基于传统磁共振成像预测组织病理学分级
Neuroradiol J. 2018 Feb;31(1):10-17. doi: 10.1177/1971400917743099. Epub 2017 Nov 17.
2
Assessment of histogram analysis in distinguishing between low-grade and high-grade brainstem glioma.评估直方图分析在低级别和高级别脑干胶质瘤鉴别中的作用。
Clin Ter. 2024 Sep-Oct;175(5):296-306. doi: 10.7417/CT.2024.5134.
3
A multi-task generative model for simultaneous post-contrast MR image synthesis and brainstem glioma segmentation.用于对比后磁共振图像合成和脑桥神经胶质瘤分割的多任务生成模型。
Magn Reson Imaging. 2024 Nov;113:110210. doi: 10.1016/j.mri.2024.07.009. Epub 2024 Jul 19.
4
Imaging of adult brainstem gliomas.成人脑干胶质瘤的影像学检查
Eur J Radiol. 2015 Apr;84(4):709-20. doi: 10.1016/j.ejrad.2014.12.025. Epub 2015 Jan 7.
5
Diagnostic performance of 3.0 Tesla diffusion tensor imaging in the assessment of brain stem glioma grading.3.0T 弥散张量成像在脑干胶质瘤分级评估中的诊断性能。
Clin Ter. 2024 Jul-Aug;175(4):239-245. doi: 10.7417/CT.2024.5070.
6
Can MR imaging be used to predict tumor grade in soft-tissue sarcoma?磁共振成像能否用于预测软组织肉瘤的肿瘤分级?
Radiology. 2014 Jul;272(1):192-201. doi: 10.1148/radiol.14131871. Epub 2014 Mar 8.
7
Evaluation of 18F-FDG PET and MRI associations in pediatric diffuse intrinsic brain stem glioma: a report from the Pediatric Brain Tumor Consortium.评估 18F-FDG PET 和 MRI 在小儿弥漫性内在脑桥胶质瘤中的相关性:来自小儿脑瘤联盟的报告。
J Nucl Med. 2011 Feb;52(2):188-95. doi: 10.2967/jnumed.110.081463. Epub 2011 Jan 13.
8
New similarity search based glioma grading.基于新相似度搜索的脑胶质瘤分级。
Neuroradiology. 2012 Aug;54(8):829-37. doi: 10.1007/s00234-011-0988-2. Epub 2011 Dec 14.
9
Diffuse brainstem glioma: prognostic factors.弥漫性脑干胶质瘤:预后因素。
J Neurosurg. 2012 Nov;117(5):810-4. doi: 10.3171/2012.7.JNS111992. Epub 2012 Aug 31.
10
Stratification of Grade of Spinal Cord Non-Ependymal Gliomas by Magnetic Resonance Imaging.磁共振成像对脊髓室管膜外神经胶质瘤分级的研究
World Neurosurg. 2019 May;125:e902-e908. doi: 10.1016/j.wneu.2019.01.205. Epub 2019 Feb 10.

引用本文的文献

1
An uncommon presentation of early brainstem high-grade glioma in a 33-year-old male: A case study and review of literature.一名33岁男性早期脑干高级别胶质瘤的罕见表现:病例报告及文献复习
Int J Surg Case Rep. 2024 Jan;114:109152. doi: 10.1016/j.ijscr.2023.109152. Epub 2023 Dec 13.
2
Deciphering Machine Learning Decisions to Distinguish between Posterior Fossa Tumor Types Using MRI Features: What Do the Data Tell Us?利用MRI特征解读机器学习决策以区分后颅窝肿瘤类型:数据告诉了我们什么?
Cancers (Basel). 2023 Aug 8;15(16):4015. doi: 10.3390/cancers15164015.

本文引用的文献

1
Diagnostic accuracy of proton magnetic resonance spectroscopy and perfusion-weighted imaging in brain gliomas follow-up: a single institutional experience.质子磁共振波谱和灌注加权成像在脑胶质瘤随访中的诊断准确性:单机构经验
Neuroradiol J. 2017 Jun;30(3):240-252. doi: 10.1177/1971400916688354. Epub 2017 Jan 1.
2
Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume.酰胺质子转移成像鉴别低级别与高级别胶质瘤:对表观扩散系数和相对脑血容量的附加价值
Eur Radiol. 2017 Aug;27(8):3181-3189. doi: 10.1007/s00330-017-4732-0. Epub 2017 Jan 23.
3
Comparison between ultra-high and conventional mono b-value DWI for preoperative glioma grading.术前胶质瘤分级中超高与传统单b值扩散加权成像的比较。
Oncotarget. 2017 Jun 6;8(23):37884-37895. doi: 10.18632/oncotarget.14180.
4
Adult Brainstem Gliomas: Retrospective Analysis of 51 Patients.成人脑干胶质瘤:51例患者的回顾性分析
Turk Neurosurg. 2017;27(4):558-562. doi: 10.5137/1019-5149.JTN.16488-15.1.
5
Brainstem Glioma in Adults.成人脑干胶质瘤
Front Oncol. 2016 Aug 9;6:180. doi: 10.3389/fonc.2016.00180. eCollection 2016.
6
Adult brainstem gliomas.成人脑干胶质瘤。
Cancer. 2016 Sep 15;122(18):2799-809. doi: 10.1002/cncr.29920. Epub 2016 Jun 21.
7
Magnetic resonance imaging differential diagnosis of brainstem lesions in children.儿童脑干病变的磁共振成像鉴别诊断
World J Radiol. 2016 Jan 28;8(1):1-20. doi: 10.4329/wjr.v8.i1.1.
8
Analysis of survival in pediatric high-grade brainstem gliomas: A population-based study.儿童高级别脑干胶质瘤的生存分析:一项基于人群的研究。
J Pediatr Neurosci. 2015 Jul-Sep;10(3):199-206. doi: 10.4103/1817-1745.165656.
9
CBTRUS Statistical Report: Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2008-2012.CBTRUS统计报告:2008 - 2012年美国原发性脑和中枢神经系统肿瘤诊断情况
Neuro Oncol. 2015 Oct;17 Suppl 4(Suppl 4):iv1-iv62. doi: 10.1093/neuonc/nov189. Epub 2015 Oct 27.
10
Clinical profile and outcomes in brainstem glioma: An institutional experience.脑干胶质瘤的临床特征与预后:一项机构经验
Asian J Neurosurg. 2015 Oct-Dec;10(4):298-302. doi: 10.4103/1793-5482.162709.

脑干胶质瘤:基于传统磁共振成像预测组织病理学分级

Brainstem glioma: Prediction of histopathologic grade based on conventional MR imaging.

作者信息

Moharamzad Yashar, Sanei Taheri Morteza, Niaghi Farhad, Shobeiri Elham

机构信息

1 School of Medicine, 48464 Kermanshah University of Medical Sciences , Kermanshah, Iran.

2 Department of Radiology, Shohada Hospital, 48486 Shahid Beheshti University of Medical Sciences , Iran.

出版信息

Neuroradiol J. 2018 Feb;31(1):10-17. doi: 10.1177/1971400917743099. Epub 2017 Nov 17.

DOI:10.1177/1971400917743099
PMID:29148317
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5789999/
Abstract

Objective The objective of this article is to investigate the association between specific MR imaging findings and histopathologic grading (low-grade vs. high-grade) of brainstem gliomas (BSGs). Methods Sixty-two males and 34 females (mean (standard deviation, SD) age of 24.61 (17.20) years, range = 3 to 70 years) with histologically diagnosed BSG underwent conventional 1.5 T MR imaging, which included T1-weighted (T1W), T2W, and post-contrast T1W sequences. There were 39 children (mean age of 9.38 years) and 57 adults (mean age of 35 years). A binary logistic regression analysis was used to explore associations between MRI features and histopathological grade of the BSG. Results Binary logistic regression revealed that necrosis (adjusted odds ratio (OR) = 16.07; 95% confidence interval (CI) = 3.20 to 80.52; p = 0.001) and inhomogeneous contrast enhancement (adjusted OR = 8.04; 95% CI = 1.73 to 37.41; p = 0.008) as significant predictors of high-grade BSG. The equation (Nagelkerke R= 0.575) is Logit ( p high-grade BSG) = (2.77 × necrosis) + (2.08 × heterogeneous contrast enhancement) - 3.13. Sensitivity and specificity values were respectively 66.7% and 96.0% for necrosis and 85.7% and 65.9% for inhomogeneous contrast-enhancing lesions. In the pediatric age group, only inhomogeneous contrast enhancement (adjusted OR = 40; 95% CI = 3.95 to 445.73; p = 0.002) was a significant predictor for high-grade BSG. Conclusion Conventional MR imaging features such as necrosis and inhomogeneous contrast enhancement in adults and heterogeneous contrast enhancement in children suggest high-grade BSG.

摘要

目的 本文旨在研究脑干胶质瘤(BSG)的特定磁共振成像(MR)表现与组织病理学分级(低级别与高级别)之间的关联。方法 62例男性和34例女性(平均(标准差,SD)年龄24.61(17.20)岁,范围3至70岁)经组织学确诊为BSG,接受了常规1.5T MR成像,包括T1加权(T1W)、T2加权(T2W)和增强后T1W序列。其中有39名儿童(平均年龄9.38岁)和57名成人(平均年龄35岁)。采用二元逻辑回归分析来探讨MRI特征与BSG组织病理学分级之间的关联。结果 二元逻辑回归显示,坏死(调整优势比(OR)=16.07;95%置信区间(CI)=3.20至80.52;p=0.001)和不均匀强化(调整OR=8.04;95% CI=1.73至37.41;p=0.008)是高级别BSG的显著预测因素。方程(Nagelkerke R=0.575)为Logit(p高级别BSG)=(2.77×坏死)+(2.08×不均匀强化)-3.13。坏死的敏感性和特异性值分别为66.7%和96.0%,不均匀强化病变的敏感性和特异性值分别为85.7%和65.9%。在儿童年龄组中,只有不均匀强化(调整OR=40;95% CI=3.95至445.73;p=0.002)是高级别BSG的显著预测因素。结论 常规MR成像特征,如成人中的坏死和不均匀强化以及儿童中的不均匀强化提示高级别BSG。