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Correlative assessment of tumor microcirculation using contrast-enhanced perfusion MRI and intravoxel incoherent
Sotirios Bisdas1, Christian Braun, Marco Skardelly
1Department of Neuroradiology, Eberhard Karls University, Tübingen, Germany.
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.
Insights
Intravoxel incoherent motion (IVIM) MRI shows limited correlation with traditional perfusion metrics in human gliomas. While some correlations were found in healthy tissue and tumor regions, a clear link between IVIM and DCE/DSC MRI metrics remains elusive.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Intravoxel incoherent motion (IVIM) imaging offers insights into microvascular properties.
- Classical perfusion-weighted MRI metrics like dynamic contrast-enhanced (DCE) and dynamic susceptibility contrast-enhanced (DSC) are established for evaluating brain tumors.
- Understanding the relationship between these advanced and classical techniques is crucial for accurate glioma assessment.
Purpose of the Study:
- To correlate intravoxel incoherent motion (IVIM) imaging parameters with classical perfusion-weighted MRI metrics in human gliomas.
- To investigate differences in IVIM parameters across glioma grades.
- To explore correlations between IVIM parameters and DCE/DSC-derived metrics in both healthy and tumor tissues.
Main Methods:
- Generation of parametric images for IVIM parameters (D, D*, f) and DCE/DSC parameters (Fp, vp, PS, ve, E, ke, tc).
- Region-of-interest analysis in contralateral healthy white matter and tumor areas.
- Statistical testing for significant differences among tumor grades and correlations between IVIM and perfusion metrics.
Main Results:
- The fractional perfusion-related volume (f) from IVIM showed significant correlation with DSC-derived vascular plasma volume (vp) and vascular transit time (tc) in healthy brain tissue.
- In tumor regions, plasma flow (Fp) positively correlated with the fast diffusion coefficient (D*) and inversely with f from DSC.
- No significant differences were observed in D*, f, and f × D* between WHO grade III and IV gliomas. Trends for negative correlations between f and PS, and f × D* and ke were noted in DCE experiments.
Conclusions:
- IVIM imaging demonstrates limited correlation with conventional DCE and DSC MRI metrics in human gliomas.
- The distinct theoretical underpinnings and modeling of tumor vasculature may explain the lack of a clear, direct link between IVIM and traditional perfusion parameters.
- Further research is needed to elucidate the combined utility of IVIM and perfusion MRI for glioma characterization.
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