Literature DB >> 25088433

Correlative assessment of tumor microcirculation using contrast-enhanced perfusion MRI and intravoxel incoherent motion diffusion-weighted MRI: is there a link between them?

Sotirios Bisdas1, Christian Braun, Marco Skardelly, Jens Schittenhelm, Tze Hern Teo, Choon Hua Thng, Uwe Klose, Tong San Koh.   

Abstract

The purpose of this study was to correlate intravoxel incoherent motion (IVIM) imaging with classical perfusion-weighted MRI metrics in human gliomas. Parametric images for slow diffusion coefficient (D), fast diffusion coefficient (D*), and fractional perfusion-related volume (f) in patients with high-grade gliomas were generated. Maps of Fp (plasma flow), vp (vascular plasma volume), PS (permeability surface-area product), ve (extravascular, extracellular volume), E (extraction ratio), ke (influx ratio into the interstitium), and tc (vascular transit time) from dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast-enhanced (DSC) MRI were also generated. A region-of-interest analysis on the contralateral healthy white matter and on the tumor areas was performed and the extracted parameter values were tested for any significant differences among tumor grades or any correlations. Only f could be significantly correlated to DSC-derived vp and tc in healthy brain tissue. Concerning the tumor regions, Fp was significantly positively correlated with D* and inversely correlated with f in DSC measurements. The D*, f, and f × D* values in the WHO grade III gliomas were non-significantly different from those in the grade IV gliomas. There was a trend to significant negative correlations between f and PS as well as between f × D* and ke in DCE experiments. Presumably due to different theoretical background, tracer properties and modeling of the tumor vasculature in the IVIM theory, there is no clearly evident link between D*, f and DSC- and DCE-derived metrics.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  blood flow; gliomas; intravoxel incoherent motion analysis; perfusion MR; perfusion fraction

Mesh:

Substances:

Year:  2014        PMID: 25088433     DOI: 10.1002/nbm.3172

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  21 in total

1.  Intravoxel incoherent motion diffusion-weighted imaging of hepatocellular carcinoma: Is there a correlation with flow and perfusion metrics obtained with dynamic contrast-enhanced MRI?

Authors:  Stefanie J Hectors; Mathilde Wagner; Cecilia Besa; Octavia Bane; Hadrien A Dyvorne; M Isabel Fiel; Hongfa Zhu; Michael Donovan; Bachir Taouli
Journal:  J Magn Reson Imaging       Date:  2016-02-26       Impact factor: 4.813

2.  Temporal evolution of perfusion parameters in brain metastases treated with stereotactic radiosurgery: comparison of intravoxel incoherent motion and dynamic contrast enhanced MRI.

Authors:  Anish Kapadia; Hatef Mehrabian; John Conklin; Sean P Symons; Pejman J Maralani; Greg J Stanisz; Arjun Sahgal; Hany Soliman; Chinthaka C Heyn
Journal:  J Neurooncol       Date:  2017-07-01       Impact factor: 4.130

3.  Diffusional kurtosis imaging (DKI) incorporation into an intravoxel incoherent motion (IVIM) MR model to measure cerebral hypoperfusion induced by hyperventilation challenge in healthy subjects.

Authors:  Aude Pavilla; Giulio Gambarota; Alessandro Arrigo; Mehdi Mejdoubi; Régis Duvauferrier; Hervé Saint-Jalmes
Journal:  MAGMA       Date:  2017-06-12       Impact factor: 2.310

4.  Contribution of mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging in the diagnosis and differentiation of uterine cervical carcinoma.

Authors:  Meng Lin; Xiaoduo Yu; Yan Chen; Han Ouyang; Bing Wu; Dandan Zheng; Chunwu Zhou
Journal:  Eur Radiol       Date:  2016-09-27       Impact factor: 5.315

Review 5.  Quantitative sodium MR imaging: A review of its evolving role in medicine.

Authors:  Keith R Thulborn
Journal:  Neuroimage       Date:  2016-11-24       Impact factor: 6.556

6.  Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index.

Authors:  Ren Yan; Pang Haopeng; Feng Xiaoyuan; Wu Jinsong; Zhang Jiawen; Yao Chengjun; Qiu Tianming; Xiong Ji; Sheng Mao; Ding Yueyue; Zhang Yong; Luo Jianfeng; Yao Zhenwei
Journal:  Neuroradiology       Date:  2015-10-22       Impact factor: 2.804

7.  Differentiating radiation necrosis from tumor progression in brain metastases treated with stereotactic radiotherapy: utility of intravoxel incoherent motion perfusion MRI and correlation with histopathology.

Authors:  Jay S Detsky; Julia Keith; John Conklin; Sean Symons; Sten Myrehaug; Arjun Sahgal; Chinthaka C Heyn; Hany Soliman
Journal:  J Neurooncol       Date:  2017-07-03       Impact factor: 4.130

8.  Intravoxel Incoherent Motion Diffusion Weighted MR Imaging for Monitoring the Instantly Therapeutic Efficacy of Radiofrequency Ablation in Rabbit VX2 Tumors without Evident Links between Conventional Perfusion Weighted Images.

Authors:  Ziyi Guo; Qiang Zhang; Xiaoguang Li; Zhengyu Jing
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

9.  Non-parametric intravoxel incoherent motion analysis in patients with intracranial lesions: Test-retest reliability and correlation with arterial spin labeling.

Authors:  Sonja Stieb; Andreas Boss; Moritz C Wurnig; Pinar S Özbay; Tobias Weiss; Matthias Guckenberger; Oliver Riesterer; Cristina Rossi
Journal:  Neuroimage Clin       Date:  2016-06-02       Impact factor: 4.881

Review 10.  Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.

Authors:  Mami Iima
Journal:  Magn Reson Med Sci       Date:  2020-06-15       Impact factor: 2.471

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.