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Live Imaging of Microtubule Dynamics in Glioblastoma Cells Invading the Zebrafish Brain
Published on: July 29, 2022
Quantitative analysis of glioma cell invasion by diffusion tensor imaging
Zhaoxia Deng1, Yi Yan, Dong Zhong
1Department of Intensive Care, Southwest Hospital, Third Military Medical University of Chinese PLA, Chongqing, China.
Summary
Diffusion tensor imaging (DTI) quantitatively analyzed glioma invasion. Fractional anisotropy (FA) in peritumoral edematous regions negatively correlated with tumor infiltration, suggesting its use as an evaluation index.
Area of Science:
- Neuroimaging
- Oncology
- Biophysics
Background:
- Glioma invasion poses significant challenges in surgical planning and treatment.
- Accurate assessment of tumor infiltration is crucial for predicting patient outcomes.
- Diffusion Tensor Imaging (DTI) offers a non-invasive method to probe tissue microstructure.
Purpose of the Study:
- To quantitatively analyze glioma cell invasion using Diffusion Tensor Imaging (DTI).
- To establish standards for tumor infiltration degrees by correlating DTI metrics with cell density.
- To evaluate the utility of Fractional Anisotropy (FA) and Apparent Diffusion Coefficient (ADC) values in assessing glioma invasion.
Main Methods:
- DTI was performed on 20 patients with glioma requiring surgical decompression.
- Peritumoral edematous tissues were analyzed for tumor cell counting and density.
- FA and ADC values were measured in five regions of interest: glioma, peritumoral edematous tissue, surrounding edematous tissue, white matter, and contralateral white matter.
Main Results:
- FA values increased from the glioma region outwards, peaking between peritumoral and surrounding edematous regions.
- FA values in peritumoral edematous regions showed a negative correlation with the degree of glioma infiltration.
- ADC values significantly increased in the peritumoral edematous region, with variable changes elsewhere.
Conclusions:
- FA values derived from peritumoral edematous regions are a reliable index for evaluating glioma cell invasion.
- DTI parameters, particularly FA, can provide quantitative insights into the extent of tumor infiltration.
- This study supports the use of DTI in surgical planning and prognosis for glioma patients.

