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Comparison of Intravoxel Incoherent Motion Diffusion-Weighted MR Imaging and Arterial Spin Labeling MR Imaging in Gliomas.
- Source :
-
BioMed Research International . 4/5/2015, Vol. 2015, p1-10. 10p. - Publication Year :
- 2015
-
Abstract
- Gliomas grading is important for treatment plan; we aimed to investigate the application of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) in gliomas grading, by comparing with the three-dimensional pseudocontinuous arterial spin labeling (3D pCASL). 24 patients (13 high grade gliomas and 11 low grade gliomas) underwent IVIM DWI and 3D pCASL imaging before operation; maps of fast diffusion coefficient (D∗), slow diffusion coefficient (D), fractional perfusion-related volume (f), and apparent diffusion coefficient (ADC) as well as cerebral blood flow (CBF) were calculated and then coregistered to generate the corresponding parameter values. We found CBF and D∗ were higher in the high grade gliomas, whereas ADC, D, and f were lower (all P<0.05). In differentiating the high from low grade gliomas, the maximum areas under the curves (AUC) of D∗, CBF, and ADC were 0.857, 0.85, and 0.902, respectively. CBF was negatively correlated with f in tumor (r=-0.619, P=0.001). ADC was positively correlated with D in both tumor and white matter (r=0.887, P=0.000 and r=0.824, P=0.000, resp.). There was no correlation between CBF and D∗ in both tumor and white matter (P>0.05). IVIM DWI showed more efficiency than 3D pCASL but less validity than conventional DWI in differentiating the high from low grade gliomas. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BRAIN
*STATISTICAL correlation
*DIAGNOSTIC imaging
*DIFFUSION
*GLIOMAS
*MAGNETIC resonance imaging
*COMPUTERS in medicine
*PROBABILITY theory
*STATISTICS
*T-test (Statistics)
*DATA analysis
*RECEIVER operating characteristic curves
*DATA analysis software
*DESCRIPTIVE statistics
*MANN Whitney U Test
*DIAGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Volume :
- 2015
- Database :
- Academic Search Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 109273881
- Full Text :
- https://doi.org/10.1155/2015/234245