
AbstractPurpose: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/mm2. In addition, DDC maps were created by applying the stretched‐exponential model using b‐values of 0, 1000, 2000, and 4000 s/mm2. Whole‐tumor ADCs and DDCs (in 10−3 mm2/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. J. Magn. Reson. Imaging 2010;31:531–537. © 2010 Wiley‐Liss, Inc.
Adult, Aged, 80 and over, Male, Medicine (General), Brain Neoplasms, Reproducibility of Results, Glioma, Middle Aged, Image Enhancement, Models, Biological, Sensitivity and Specificity, Imaging, Life and Medical Sciences, Diffusion Magnetic Resonance Imaging, Health Sciences, Image Interpretation, Computer-Assisted, Humans, Computer Simulation, Female, Algorithms, Aged
Adult, Aged, 80 and over, Male, Medicine (General), Brain Neoplasms, Reproducibility of Results, Glioma, Middle Aged, Image Enhancement, Models, Biological, Sensitivity and Specificity, Imaging, Life and Medical Sciences, Diffusion Magnetic Resonance Imaging, Health Sciences, Image Interpretation, Computer-Assisted, Humans, Computer Simulation, Female, Algorithms, Aged
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