• 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
Comparison of apparent diffusion coefficients and distributed diffusion coefficients in high-grade gliomas.高级别胶质瘤表观扩散系数与分布扩散系数的比较。
J Magn Reson Imaging. 2010 Mar;31(3):531-7. doi: 10.1002/jmri.22070.
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
Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging.使用单指数、双指数和拉伸指数扩散加权磁共振成像及扩散峰度磁共振成像对胶质瘤进行分级
Radiology. 2016 Feb;278(2):496-504. doi: 10.1148/radiol.2015142173. Epub 2015 Jul 31.
4
Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity.验证功能扩散映射(fDMs)作为人类脑胶质瘤细胞密度的生物标志物。
J Magn Reson Imaging. 2010 Mar;31(3):538-48. doi: 10.1002/jmri.22068.
5
Comparison of stretched-Exponential and monoexponential model diffusion-Weighted imaging in prostate cancer and normal tissues.拉伸指数模型与单指数模型在前列腺癌及正常组织弥散加权成像中的对比。
J Magn Reson Imaging. 2015 Oct;42(4):1078-85. doi: 10.1002/jmri.24872. Epub 2015 Feb 26.
6
[Stretched-exponential and mono-exponential diffusion-weighted imaging for assessing the aggressiveness of prostate cancer: A histogram analysis].[拉伸指数和单指数扩散加权成像评估前列腺癌侵袭性:直方图分析]
Zhonghua Nan Ke Xue. 2019 Dec;25(12):1106-1112.
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
Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index.胶质瘤的非高斯扩散磁共振成像:多种扩散参数的比较及其与组织学分级和MIB-1(Ki-67标记)指数的相关性
Neuroradiology. 2016 Feb;58(2):121-32. doi: 10.1007/s00234-015-1606-5. Epub 2015 Oct 22.
9
Differentiation of high-grade from low-grade diffuse gliomas using diffusion-weighted imaging: a comparative study of mono-, bi-, and stretched-exponential diffusion models.使用弥散加权成像区分高级别和低级别弥漫性胶质瘤:单指数、双指数和拉伸指数弥散模型的比较研究。
Neuroradiology. 2020 Jul;62(7):815-823. doi: 10.1007/s00234-020-02456-2. Epub 2020 May 18.
10
Monoexponential, biexponential, and stretched exponential diffusion-weighted imaging models: Quantitative biomarkers for differentiating renal clear cell carcinoma and minimal fat angiomyolipoma.单指数、双指数和拉伸指数扩散加权成像模型:用于鉴别肾透明细胞癌和微脂肪血管平滑肌脂肪瘤的定量生物标志物。
J Magn Reson Imaging. 2017 Jul;46(1):240-247. doi: 10.1002/jmri.25524. Epub 2016 Nov 10.

引用本文的文献

1
Evaluation of the Prognostic Value of Pretherapeutic Magnetic Resonance Imaging in Predicting Soft Tissue Sarcoma Radiation Response: A Retrospective Study from a Large Institutional Sarcoma Imaging Database.治疗前磁共振成像预测软组织肉瘤放疗反应的预后价值评估:一项来自大型机构肉瘤影像数据库的回顾性研究
Cancers (Basel). 2024 Feb 22;16(5):878. doi: 10.3390/cancers16050878.
2
Prospective Assessment of Tumour Burden and Bone Disease in Plasma Cell Dyscrasias Using DW-MRI and Exploratory Bone Biomarkers.使用扩散加权磁共振成像(DW-MRI)和探索性骨生物标志物对浆细胞发育异常中的肿瘤负荷和骨病进行前瞻性评估。
Cancers (Basel). 2022 Dec 23;15(1):95. doi: 10.3390/cancers15010095.
3
Visualising spatial heterogeneity in glioblastoma using imaging habitats.利用成像栖息地可视化胶质母细胞瘤中的空间异质性。
Front Oncol. 2022 Nov 24;12:1037896. doi: 10.3389/fonc.2022.1037896. eCollection 2022.
4
Evaluation of Monoexponential, Stretched-Exponential and Intravoxel Incoherent Motion MRI Diffusion Models in Early Response Monitoring to Neoadjuvant Chemotherapy in Patients With Breast Cancer-A Preliminary Study.单指数、拉伸指数和体素内不相干运动 MRI 扩散模型在乳腺癌新辅助化疗早期疗效监测中的评估——一项初步研究。
J Magn Reson Imaging. 2022 Oct;56(4):1079-1088. doi: 10.1002/jmri.28113. Epub 2022 Feb 14.
5
Monoexponential, biexponential and stretched exponential models of diffusion weighted magnetic resonance imaging in glioma in relation to histopathologic grade and Ki-67 labeling index using high B values.使用高B值的扩散加权磁共振成像单指数、双指数和拉伸指数模型在胶质瘤中与组织病理学分级和Ki-67标记指数的关系
Am J Transl Res. 2021 Nov 15;13(11):12480-12494. eCollection 2021.
6
Diffusion and quantification of diffusion of prostate cancer.前列腺癌的扩散与定量分析。
Br J Radiol. 2022 Mar 1;95(1131):20210653. doi: 10.1259/bjr.20210653. Epub 2021 Sep 19.
7
Precise Identification of Prostate Cancer from DWI Using Transfer Learning.基于迁移学习的 DWI 对前列腺癌的精准识别。
Sensors (Basel). 2021 May 25;21(11):3664. doi: 10.3390/s21113664.
8
Preliminary Study of Subclinical Brain Alterations in Patients With Asymptomatic Carotid Vulnerable Plaques Using Intravoxel Incoherent Motion Imaging by Voxelwise Comparison: A Study of Whole-Brain Imaging Measures.通过体素比较使用体素内不相干运动成像对无症状性颈动脉易损斑块患者亚临床脑改变的初步研究:一项全脑成像测量研究
Front Neurosci. 2020 Dec 15;14:562830. doi: 10.3389/fnins.2020.562830. eCollection 2020.
9
Anisotropy of Anomalous Diffusion Improves the Accuracy of Differentiating and Grading Alzheimer's Disease Using Novel Fractional Motion Model.异常扩散的各向异性通过新型分数运动模型提高了阿尔茨海默病鉴别和分级的准确性。
Front Aging Neurosci. 2020 Nov 19;12:602510. doi: 10.3389/fnagi.2020.602510. eCollection 2020.
10
Multimodal MR Features of 8 Cases of Epithelioid Glioblastoma.8 例上皮样胶质母细胞瘤的多模态磁共振特征。
Biomed Res Int. 2020 Oct 16;2020:9586806. doi: 10.1155/2020/9586806. eCollection 2020.

本文引用的文献

1
Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations.磁共振扩散加权成像作为一种癌症生物标志物:共识与建议
Neoplasia. 2009 Feb;11(2):102-25. doi: 10.1593/neo.81328.
2
Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival.功能扩散图谱作为高级别胶质瘤的早期影像生物标志物:与传统放射学反应及总生存期的相关性
J Clin Oncol. 2008 Jul 10;26(20):3387-94. doi: 10.1200/JCO.2007.15.2363. Epub 2008 Jun 9.
3
Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology.扩散磁共振成像:肿瘤治疗反应的生物标志物
J Clin Oncol. 2007 Sep 10;25(26):4104-9. doi: 10.1200/JCO.2007.11.9610.
4
Intraaxial brain masses: MR imaging-based diagnostic strategy--initial experience.脑内肿块:基于磁共振成像的诊断策略——初步经验
Radiology. 2007 May;243(2):539-50. doi: 10.1148/radiol.2432060493.
5
Water diffusion heterogeneity index in the human brain is insensitive to the orientation of applied magnetic field gradients.人脑水扩散异质性指数对所施加磁场梯度的方向不敏感。
Magn Reson Med. 2006 Aug;56(2):235-9. doi: 10.1002/mrm.20960.
6
Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response.用于脑肿瘤特征描述及治疗反应评估的扩散加权磁共振成像和灌注磁共振成像
Radiology. 2006 Jun;239(3):632-49. doi: 10.1148/radiol.2393042031.
7
Intravoxel distribution of DWI decay rates reveals C6 glioma invasion in rat brain.扩散加权成像衰减率的体素内分布揭示大鼠脑内C6胶质瘤浸润情况。
Magn Reson Med. 2004 Nov;52(5):994-1004. doi: 10.1002/mrm.20286.
8
Nuclear magnetic resonance (NMR) measurement of the apparent diffusion coefficient (ADC) of tissue water and its relationship to cell volume changes in pathological states.组织水的表观扩散系数(ADC)的核磁共振(NMR)测量及其在病理状态下与细胞体积变化的关系。
Neurochem Int. 2004 Sep;45(4):569-82. doi: 10.1016/j.neuint.2003.11.010.
9
Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model.用拉伸指数模型表征连续分布的皮质水扩散率
Magn Reson Med. 2003 Oct;50(4):727-34. doi: 10.1002/mrm.10581.
10
Basic principles of diffusion-weighted imaging.扩散加权成像的基本原理。
Eur J Radiol. 2003 Mar;45(3):169-84. doi: 10.1016/s0720-048x(02)00303-0.

高级别胶质瘤表观扩散系数与分布扩散系数的比较。

Comparison of apparent diffusion coefficients and distributed diffusion coefficients in high-grade gliomas.

机构信息

Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan 48109, USA.

出版信息

J Magn Reson Imaging. 2010 Mar;31(3):531-7. doi: 10.1002/jmri.22070.

DOI:10.1002/jmri.22070
PMID:20187193
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2918396/
Abstract

PURPOSE

To compare apparent diffusion coefficients (ADCs) with distributed diffusion coefficients (DDCs) in high-grade gliomas.

MATERIALS AND METHODS

Twenty patients with high-grade gliomas prospectively underwent diffusion-weighted MRI. Traditional ADC maps were created using b-values of 0 and 1000 s/mm(2). In addition, DDC maps were created by applying the stretched-exponential model using b-values of 0, 1000, 2000, and 4000 s/mm(2). Whole-tumor ADCs and DDCs (in 10(-3) mm(2)/s) were measured and analyzed with a paired t-test, Pearson's correlation coefficient, and the Bland-Altman method.

RESULTS

Tumor ADCs (1.14 +/- 0.26) were significantly lower (P = 0.0001) than DDCs (1.64 +/- 0.71). Tumor ADCs and DDCs were strongly correlated (R = 0.9716; P < 0.0001), but mean bias +/- limits of agreement between tumor ADCs and DDCs was -0.50 +/- 0.90. There was a clear trend toward greater discordance between ADC and DDC at high ADC values.

CONCLUSION

Under the assumption that the stretched-exponential model provides a more accurate estimate of the average diffusion rate than the mono-exponential model, our results suggest that for a little diffusion attenuation the mono-exponential fit works rather well for quantifying diffusion in high-grade gliomas, whereas it works less well for a greater degree of diffusion attenuation.

摘要

目的

比较高级别胶质瘤中的表观扩散系数(ADC)与分布扩散系数(DDC)。

材料与方法

20 例高级别胶质瘤患者前瞻性接受扩散加权 MRI 检查。传统 ADC 图采用 b 值为 0 和 1000 s/mm² 进行绘制。此外,还通过应用拉伸指数模型,采用 b 值为 0、1000、2000 和 4000 s/mm² 绘制 DDC 图。对全肿瘤 ADC 和 DDC(10⁻³mm²/s)进行测量和分析,采用配对 t 检验、皮尔逊相关系数和 Bland-Altman 法。

结果

肿瘤 ADC(1.14±0.26)明显低于 DDC(1.64±0.71)(P=0.0001)。肿瘤 ADC 和 DDC 呈强相关(R=0.9716;P<0.0001),但肿瘤 ADC 和 DDC 之间的平均偏差±一致性界限为-0.50±0.90。在高 ADC 值时,ADC 与 DDC 之间的不一致性明显增加。

结论

在拉伸指数模型比单指数模型更能准确估计平均扩散率的假设下,我们的结果表明,对于较小的扩散衰减,单指数拟合在量化高级别胶质瘤中的扩散方面效果相当好,而对于较大程度的扩散衰减效果则较差。