Brain abscess and cystic brain tumor: discrimination with dynamic susceptibility contrast perfusion-weighted MRI

Cuneyt Erdogan1, Bahattin Hakyemez, Nalan Yildirim

  • 1Uludag University School of Medicine, Department of Radiology, Bursa, Turkey.

Insights

Perfusion MRI effectively differentiates brain abscesses from cystic brain tumors. This advanced imaging technique analyzes relative cerebral blood volume (rCBV) to distinguish between these conditions, improving early diagnosis.

Area of Science:

  • Neuroradiology
  • Medical Imaging
  • Neuro-oncology

Background:

  • Distinguishing brain abscesses from cystic brain tumors like gliomas and metastases using conventional MRI is challenging.
  • Rim-enhancing lesions on MRI require accurate differentiation for appropriate patient management.

Purpose of the Study:

  • To assess the diagnostic value of perfusion MRI in differentiating pyogenic brain abscesses from cystic brain tumors.
  • To compare perfusion MRI characteristics, specifically relative cerebral blood volume (rCBV), between abscesses and tumors.

Main Methods:

  • 19 patients with rim-enhancing brain lesions (4 abscesses, 8 high-grade gliomas, 7 metastases) underwent standard MRI, diffusion-weighted MRI (including ADC maps), and perfusion-weighted MRI.
  • Relative cerebral blood volume (rCBV) ratios were calculated by comparing lesion values to normal white matter.

Main Results:

  • Abscesses showed hyperintense signals on trace diffusion images and hypointense signals on ADC maps, with low rCBV ratios (0.76 ± 0.12).
  • Cystic tumors generally exhibited low signal on trace diffusion and high signal on ADC maps, with significantly higher rCBV ratios (gliomas: 5.51 ± 2.08; metastases: 4.58 ± 2.19).
  • The difference in rCBV between abscesses and tumors was statistically significant (P = 0.003).

Conclusions:

  • Perfusion MRI, particularly rCBV analysis, is a valuable tool for differentiating pyogenic brain abscesses from cystic brain tumors.
  • This modality enhances early and accurate diagnosis, guiding treatment decisions for patients with brain lesions.

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