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Updated: Jun 15, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Comparison of apparent diffusion coefficients and distributed diffusion coefficients in high-grade gliomas.
Thomas C Kwee1, Craig J Galbán, Christina Tsien
1Department of Radiology, University of Michigan Medical Center, Ann Arbor, Michigan 48109, USA.
Apparent diffusion coefficients (ADCs) and distributed diffusion coefficients (DDCs) were compared in high-grade gliomas. While correlated, DDCs may offer a more accurate diffusion measure, especially with greater diffusion attenuation.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- High-grade gliomas are aggressive brain tumors.
- Diffusion-weighted MRI is crucial for characterizing tumor microenvironment.
- Apparent diffusion coefficients (ADCs) are commonly used but rely on simplified models.
Purpose of the Study:
- To compare apparent diffusion coefficients (ADCs) with distributed diffusion coefficients (DDCs) in high-grade gliomas.
- To evaluate the accuracy of different diffusion models in quantifying tumor diffusion.
Main Methods:
- Prospective diffusion-weighted MRI in 20 high-grade glioma patients.
- Creation of traditional ADC maps (b-values 0, 1000 s/mm²).
- Generation of DDC maps using the stretched-exponential model (b-values 0, 1000, 2000, 4000 s/mm²).
Main Results:
- Tumor ADCs were significantly lower than DDCs (P=0.0001).
- Strong correlation observed between ADCs and DDCs (R=0.9716, P<0.0001).
- Greater discordance between ADC and DDC noted at higher ADC values.
Conclusions:
- The stretched-exponential model may provide a more accurate diffusion estimate than the mono-exponential model.
- Mono-exponential ADC models perform well for low diffusion attenuation in gliomas.
- Mono-exponential ADC models show limitations with greater diffusion attenuation.
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