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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
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The correlation between MR diffusion-weighted imaging and pathological grades on glioma.
1Department of Neurosurgery, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China. shuda_chen@263.net.
European Review for Medical and Pharmacological Sciences
|July 11, 2014
Summary
Magnetic Resonance (MR) diffusion weighted imaging (DWI) helps grade glioma. Lower Apparent Diffusion Coefficient (ADC) values correlate with higher glioma grades, aiding diagnosis.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Glioma grading is crucial for treatment planning.
- Magnetic Resonance (MR) diffusion weighted imaging (DWI) offers non-invasive insights into tissue microstructure.
Purpose of the Study:
- To quantitatively correlate pathological glioma grades with Apparent Diffusion Coefficient (ADC) values derived from MR diffusion weighted imaging.
- To explore the relationship between ADC values and tumor cell density in gliomas.
Main Methods:
- 40 patients with glioma underwent 3.0T MR diffusion weighted imaging before surgery.
- Tumor samples were pathologically analyzed for grade and cell density.
- Statistical analysis was performed on acquired ADC values and pathological data.
Main Results:
- Lower-grade gliomas (WHO I-II) exhibited higher ADC values compared to high-grade gliomas (WHO III-IV).
- Tumor cell density was lower in low-grade gliomas than in high-grade gliomas.
- ADC values and tumor cell density showed a negative correlation with WHO malignant grades.
Conclusions:
- MR diffusion weighted imaging provides an objective and effective method for assessing glioma pathological grades.
- ADC values are a valuable biomarker for differentiating glioma malignancy.
