• 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
Differentiation of high-grade and low-grade diffuse gliomas by intravoxel incoherent motion MR imaging.通过体素内不相干运动磁共振成像鉴别高级别和低级别弥漫性胶质瘤
Neuro Oncol. 2016 Jan;18(1):132-41. doi: 10.1093/neuonc/nov147. Epub 2015 Aug 4.
2
Intravoxel incoherent motion diffusion-weighted imaging analysis of diffusion and microperfusion in grading gliomas and comparison with arterial spin labeling for evaluation of tumor perfusion.体素内不相干运动扩散加权成像分析胶质瘤分级中的扩散与微灌注,并与动脉自旋标记法比较以评估肿瘤灌注
J Magn Reson Imaging. 2016 Sep;44(3):620-32. doi: 10.1002/jmri.25191. Epub 2016 Feb 16.
3
Differentiating the histologic grades of gliomas preoperatively using amide proton transfer-weighted (APTW) and intravoxel incoherent motion MRI.使用酰胺质子转移加权(APTW)和体素内不相干运动MRI术前区分胶质瘤的组织学分级。
NMR Biomed. 2018 Jan;31(1). doi: 10.1002/nbm.3850. Epub 2017 Nov 3.
4
Glioma grading and IDH1 mutational status: assessment by intravoxel incoherent motion MRI.脑胶质瘤分级和 IDH1 突变状态:基于体素内不相干运动 MRI 的评估。
Clin Radiol. 2019 Aug;74(8):651.e7-651.e14. doi: 10.1016/j.crad.2019.03.020. Epub 2019 Apr 20.
5
An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors.一种基于证据的方法来评估体素内不相干运动成像在脑肿瘤分级中的准确性。
Medicine (Baltimore). 2018 Nov;97(45):e13217. doi: 10.1097/MD.0000000000013217.
6
Intravoxel incoherent motion diffusion-weighted MR imaging of gliomas: efficacy in preoperative grading.胶质瘤的体素内不相干运动扩散加权磁共振成像:术前分级中的效能
Sci Rep. 2014 Dec 1;4:7208. doi: 10.1038/srep07208.
7
Ki-67 labeling index and the grading of cerebral gliomas by using intravoxel incoherent motion diffusion-weighted imaging and three-dimensional arterial spin labeling magnetic resonance imaging.利用体素内不相干运动扩散加权成像和三维动脉自旋标记磁共振成像评估脑胶质瘤的Ki-67标记指数及分级
Acta Radiol. 2020 Aug;61(8):1057-1063. doi: 10.1177/0284185119891694. Epub 2019 Dec 12.
8
Clinical efficacy of simplified intravoxel incoherent motion imaging using three b-values for differentiating high- and low-grade gliomas.采用三个 b 值简化体素内不相干运动成像对高低级别胶质瘤的临床疗效评价。
PLoS One. 2018 Dec 27;13(12):e0209796. doi: 10.1371/journal.pone.0209796. eCollection 2018.
9
Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging for predicting histological grade of hepatocellular carcinoma: Comparison with conventional diffusion-weighted imaging.体素内不相干运动扩散加权磁共振成像预测肝细胞癌组织学分级:与常规扩散加权成像的比较。
World J Gastroenterol. 2018 Feb 28;24(8):929-940. doi: 10.3748/wjg.v24.i8.929.
10
Comparison of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging and Arterial Spin Labeling MR Imaging in Gliomas.体素内不相干运动扩散加权磁共振成像与动脉自旋标记磁共振成像在胶质瘤中的比较
Biomed Res Int. 2015;2015:234245. doi: 10.1155/2015/234245. Epub 2015 Apr 5.

引用本文的文献

1
Congress of neurological surgeons systematic review and evidence-based guidelines for the role of imaging in newly diagnosed WHO grade II diffuse glioma in adults: update.神经外科医生大会关于影像学在成人新诊断的世界卫生组织II级弥漫性胶质瘤中的作用的系统评价和循证指南:更新版
J Neurooncol. 2025 May 8. doi: 10.1007/s11060-025-05043-8.
2
Simplifying Radiomics Workflow for Predicting Grade of Glioma: An Approach for Rapid and Reproducible Radiomics.简化用于预测胶质瘤分级的放射组学工作流程:一种实现快速且可重复的放射组学方法
J Biomed Phys Eng. 2025 Feb 1;15(1):27-36. doi: 10.31661/jbpe.v0i0.2208-1525. eCollection 2025 Feb.
3
Added value of histogram analysis of intravoxel incoherent motion and diffusion kurtosis imaging for the evaluation of complete response to neoadjuvant therapy in locally advanced rectal cancer.体素内不相干运动直方图分析和扩散峰度成像在评估局部晚期直肠癌新辅助治疗完全缓解中的附加价值
Eur Radiol. 2025 Mar;35(3):1669-1678. doi: 10.1007/s00330-024-11081-z. Epub 2024 Sep 19.
4
Imaging Role in Diagnosis, Prognosis, and Treatment Response Prediction Associated with High-grade Glioma.影像学在高级别胶质瘤的诊断、预后及治疗反应预测中的作用
J Med Signals Sens. 2024 Mar 27;14:7. doi: 10.4103/jmss.jmss_30_22. eCollection 2024.
5
Differentiation of glioma and solitary brain metastasis: a multi-parameter magnetic resonance imaging study using histogram analysis.基于直方图分析的多参数磁共振成像在脑胶质瘤与单发脑转移瘤鉴别诊断中的应用研究。
BMC Cancer. 2024 Jul 5;24(1):805. doi: 10.1186/s12885-024-12571-5.
6
Marker-controlled watershed algorithm and fuzzy C-means clustering machine learning: automated segmentation of glioblastoma from MRI images in a case series.标记控制分水岭算法与模糊C均值聚类机器学习:病例系列中基于MRI图像的胶质母细胞瘤自动分割
Ann Med Surg (Lond). 2024 Jan 26;86(3):1460-1475. doi: 10.1097/MS9.0000000000001756. eCollection 2024 Mar.
7
Evolving concepts in margin strategies and adaptive radiotherapy for glioblastoma: A new future is on the horizon.不断发展的脑胶质母细胞瘤切缘策略和自适应放疗理念:新的未来即将到来。
Neuro Oncol. 2024 Mar 4;26(12 Suppl 2):S3-S16. doi: 10.1093/neuonc/noad258.
8
The diagnostic efficiency of integration of 2HG MRS and IVIM versus individual parameters for predicting IDH mutation status in gliomas in clinical scenarios: A retrospective study.2HG MRS 和 IVIM 整合对胶质瘤 IDH 突变状态预测的诊断效率与单一参数的比较:一项回顾性研究。
J Neurooncol. 2024 Apr;167(2):305-313. doi: 10.1007/s11060-024-04609-2. Epub 2024 Feb 29.
9
Differentiating tumour progression from pseudoprogression in glioblastoma patients: a monoexponential, biexponential, and stretched-exponential model-based DWI study.基于单指数、双指数和拉伸指数模型的 DWI 研究:区分胶质母细胞瘤患者的肿瘤进展与假性进展。
BMC Med Imaging. 2023 Sep 11;23(1):119. doi: 10.1186/s12880-023-01082-7.
10
Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain.基于机器学习的脑磁共振图像胶质瘤分级放射组学
J Pers Med. 2023 May 30;13(6):920. doi: 10.3390/jpm13060920.

本文引用的文献

1
Disruption of astrocyte-vascular coupling and the blood-brain barrier by invading glioma cells.侵袭性胶质瘤细胞破坏星形胶质细胞与血管的耦合以及血脑屏障。
Nat Commun. 2014 Jun 19;5:4196. doi: 10.1038/ncomms5196.
2
A prognostic model based on preoperative MRI predicts overall survival in patients with diffuse gliomas.一种基于术前磁共振成像的预后模型可预测弥漫性胶质瘤患者的总生存期。
AJNR Am J Neuroradiol. 2014 Jun;35(6):1096-102. doi: 10.3174/ajnr.A3837. Epub 2014 Jan 23.
3
Amide proton transfer imaging of adult diffuse gliomas: correlation with histopathological grades.酰胺质子转移成像在成人弥漫性胶质瘤中的应用:与组织病理学分级的相关性。
Neuro Oncol. 2014 Mar;16(3):441-8. doi: 10.1093/neuonc/not158. Epub 2013 Dec 4.
4
The correlation between apparent diffusion coefficient and tumor cellularity in patients: a meta-analysis.患者表观扩散系数与肿瘤细胞密度的相关性:一项荟萃分析。
PLoS One. 2013 Nov 11;8(11):e79008. doi: 10.1371/journal.pone.0079008. eCollection 2013.
5
Dependence of brain intravoxel incoherent motion perfusion parameters on the cardiac cycle.脑内不相干运动灌注参数对心动周期的依赖性。
PLoS One. 2013 Aug 30;8(8):e72856. doi: 10.1371/journal.pone.0072856. eCollection 2013.
6
Perfusion measurement in brain gliomas with intravoxel incoherent motion MRI.采用体素内不相干运动磁共振成像测量脑胶质瘤灌注
AJNR Am J Neuroradiol. 2014 Feb;35(2):256-62. doi: 10.3174/ajnr.A3686. Epub 2013 Aug 8.
7
Intravoxel incoherent motion diffusion-weighted MR imaging of gliomas: feasibility of the method and initial results.瘤内非相干运动弥散加权磁共振成像:方法的可行性和初步结果。
Neuroradiology. 2013 Oct;55(10):1189-96. doi: 10.1007/s00234-013-1229-7. Epub 2013 Jul 14.
8
Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases.体素内不相干运动扩散加权磁共振成像衍生灌注分数和假性扩散系数在正常肝脏和转移瘤中的测量可重复性。
Eur Radiol. 2013 Feb;23(2):428-34. doi: 10.1007/s00330-012-2604-1. Epub 2012 Oct 6.
9
The 39 steps: evading error and deciphering the secrets for accurate dynamic susceptibility contrast MRI.39 步:避免错误并解密准确动态磁敏感对比 MRI 的秘密。
NMR Biomed. 2013 Aug;26(8):913-31. doi: 10.1002/nbm.2833. Epub 2012 Jul 11.
10
Reevaluating the imaging definition of tumor progression: perfusion MRI quantifies recurrent glioblastoma tumor fraction, pseudoprogression, and radiation necrosis to predict survival.重新评估肿瘤进展的影像学定义:灌注 MRI 定量评估复发性脑胶质瘤肿瘤部分、假性进展和放射性坏死,以预测患者的生存情况。
Neuro Oncol. 2012 Jul;14(7):919-30. doi: 10.1093/neuonc/nos112. Epub 2012 May 3.

通过体素内不相干运动磁共振成像鉴别高级别和低级别弥漫性胶质瘤

Differentiation of high-grade and low-grade diffuse gliomas by intravoxel incoherent motion MR imaging.

作者信息

Togao Osamu, Hiwatashi Akio, Yamashita Koji, Kikuchi Kazufumi, Mizoguchi Masahiro, Yoshimoto Koji, Suzuki Satoshi O, Iwaki Toru, Obara Makoto, Van Cauteren Marc, Honda Hiroshi

机构信息

Department of Clinical Radiology, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan (O.T., A.H., K.Y., K.K., H.H.); Department of Neurosurgery, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (M.M., K.Y.); Department of Neuropathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (S.O.S., T.I.); Philips Electronics Japan, Tokyo, Japan (M.O., M.V.C.).

出版信息

Neuro Oncol. 2016 Jan;18(1):132-41. doi: 10.1093/neuonc/nov147. Epub 2015 Aug 4.

DOI:10.1093/neuonc/nov147
PMID:26243792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4677415/
Abstract

BACKGROUND

Our aim was to assess the diagnostic performance of intravoxel incoherent motion (IVIM) MR imaging for differentiating high-grade gliomas (HGGs) from low-grade gliomas (LGGs).

METHODS

Forty-five patients with diffuse glioma (age 50.9 ± 20.4 y; 26 males, 19 females) were assessed with IVIM imaging using 13 b-values (0-1000 s/mm(2)) at 3T. The perfusion fraction (f), true diffusion coefficient (D), and pseudo-diffusion coefficient (D*) were calculated by fitting the bi-exponential model. The apparent diffusion coefficient (ADC) was obtained with 2 b-values (0 and 1000 s/mm(2)). Relative cerebral blood volume was measured by the dynamic susceptibility contrast method. Two observers independently measured D, ADC, D*, and f, and these measurements were compared between the LGG group (n = 16) and the HGG group (n = 29).

RESULTS

Both D (1.26 ± 0.37 mm(2)/s in LGG, 0.94 ± 0.19 mm(2)/s in HGG; P < .001) and ADC (1.28 ± 0.35 mm(2)/s in LGG, 1.03 ± 0.19 mm(2)/s in HGG; P < .01) were lower in the HGG group. D was lower than ADC in the LGG (P < .05) and HGG groups (P < .0001). D* was not different between the groups. The f-values were significantly larger in HGG (17.5 ± 6.3%) than in LGG (5.8 ± 3.8%; P < .0001) and correlated with relative cerebral blood volume (r = 0.85; P < .0001). Receiver operating characteristic analyses showed areas under curve of 0.95 with f, 0.78 with D, 0.73 with ADC, and 0.60 with D*.

CONCLUSION

IVIM imaging is useful in differentiating HGGs from LGGs.

摘要

背景

我们的目的是评估体素内不相干运动(IVIM)磁共振成像在鉴别高级别胶质瘤(HGG)与低级别胶质瘤(LGG)方面的诊断性能。

方法

对45例弥漫性胶质瘤患者(年龄50.9±20.4岁;男性26例,女性19例)在3T条件下使用13个b值(0 - 1000 s/mm²)进行IVIM成像评估。通过拟合双指数模型计算灌注分数(f)、真实扩散系数(D)和伪扩散系数(D*)。使用2个b值(0和1000 s/mm²)获得表观扩散系数(ADC)。通过动态磁敏感对比法测量相对脑血容量。两名观察者独立测量D、ADC、D*和f,并对LGG组(n = 16)和HGG组(n = 29)之间的这些测量值进行比较。

结果

HGG组的D(LGG组为1.26±0.37 mm²/s,HGG组为0.94±0.19 mm²/s;P <.001)和ADC(LGG组为1.28±0.35 mm²/s,HGG组为1.03±0.19 mm²/s;P <.01)均较低。在LGG组(P <.05)和HGG组(P <.0001)中,D均低于ADC。两组之间D无差异。HGG组的f值(17.5±6.3%)显著高于LGG组(5.8±3.8%;P <.0001),且与相对脑血容量相关(r = 0.85;P <.0001)。受试者操作特征分析显示,f的曲线下面积为0.95,D为0.78,ADC为0.73,D为0.60。

结论

IVIM成像有助于鉴别HGG与LGG。