Usefulness of diffusion/perfusion-weighted MRI in rat gliomas: correlation with histopathology

Guoguang Fan1, Peizhuo Zang, Fengdong Jing

  • 1Department of Radiology, Second Hospital of China Medical University, Shenyang, China. fanguog@vip.sina.com

Academic Radiology
|May 4, 2005
PubMed
Abstract

Insights

Diffusion/perfusion-weighted MRI (DWI/PWI) shows potential for assessing C6 rat gliomas. DWI/PWI can characterize tumor growth, cellularity, and vascularity, offering insights into brain tumor progression.

Area of Science:

  • Neuroimaging
  • Oncology
  • Biomedical Engineering

Background:

  • Diffusion/perfusion-weighted MRI (DWI/PWI) offers noninvasive insights into brain gliomas.
  • The precise role of DWI/PWI in glioma diagnosis requires further evaluation.
  • C6 rat gliomas serve as a relevant preclinical model for human brain tumors.

Purpose of the Study:

  • To evaluate the utility of DWI and PWI in assessing the growth and vascularity of C6 rat gliomas.
  • To correlate MRI findings with histological assessments of tumor cellularity and microvascular density.

Main Methods:

  • C6 glioma cells were implanted in 36 rats.
  • Tumors were imaged weekly (1-4 weeks post-implantation) using T(1)WI, T(2)WI, DWI, PWI, and postcontrast T(1)WI on a 1.5-T MRI system.
  • Tumor cellularity and microvascular density were determined histologically.

Main Results:

  • Apparent diffusion coefficient (ADC) values differed significantly between early (1-2 weeks) and late (3-4 weeks) tumor growth stages.
  • ADC values of the tumoral core negatively correlated with tumor cellularity (r = -0.682, P < .01).
  • Maximal regional cerebral blood volume (rCBV) in the tumoral core showed significant differences over time and correlated positively with microvascular density (r = 0.716, P < .01).

Conclusions:

  • DWI and PWI show promise in characterizing C6 gliomas in a rat model.
  • These MRI techniques can potentially assess tumor growth, cellularity, and vascularity.
  • The findings support the use of DWI/PWI for evaluating preclinical brain glioma models.

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