Heterogeneity of glioblastoma with gliomatosis cerebri growth pattern on diffusion and perfusion MRI

J Neurooncol. 2019 Mar;142(1):103-109. doi: 10.1007/s11060-018-03068-w. Epub 2018 Dec 18.

Abstract

Background and purpose: Gliomatosis cerebri (GC) is a rare growth pattern of glioblastoma whose diffuse nature is reflected by unspecific, relatively uniform findings on conventional MRI. In the present study we sought to evaluate the additional value of diffusion (DWI) and perfusion weighted (PWI) MRI for a more detailed characterization.

Methods: We analyzed the MRI findings in patients with histologically proven glioblastoma with GC growth pattern with a specific emphasis on T2 lesion pattern, volume, relative apparent diffusion coefficient (rACD), and relative cerebral blood volume (rCBV) and compared these to age-/gender-matched patients with localized glioblastoma.

Results: Overall, 16 patients (median age 59.5 years, 4 male) were included in the study. Of these, 8 patients had a glioblastoma with GC growth pattern, and 8 a classical localized growth pattern. While the median rADC (1.27 [IQR 1.12-1.41]) within the T2 lesion was significant lower in glioblastoma with GC growth pattern compared to localized glioblastoma (1.74 [IQR 1.45-1.96]; p = 0.003), the median T2 lesion volume and rCBV within the T2 lesion did not differ significantly. Furthermore, six patients with glioblastoma with GC growth pattern showed focal areas with significantly reduced rADC (p = 0.043), and/or increased rCBV (p = 0.028).

Conclusions: Lower rADC in glioblastoma with GC growth pattern might reflect the diffuse tumor cell infiltration whereas focal areas with decreased rADC and/or increased rCBV probably indicate high tumor cell density and/or abnormal tumor vessels which may be useful for biopsy guidance.

Keywords: DWI; Diffusion-weighted imaging; Glioblastoma; Gliomatosis cerebri; Heterogeneity; PWI; Perfusion-weighted imaging.

MeSH terms

  • Aged
  • Brain Neoplasms / genetics*
  • Brain Neoplasms / pathology
  • Female
  • Glioblastoma / diagnostic imaging*
  • Glioblastoma / pathology
  • Humans
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging / methods
  • Male
  • Middle Aged
  • Neoplasms, Neuroepithelial / diagnostic imaging*
  • Neoplasms, Neuroepithelial / pathology