Segmentation of peritumoral oedema offers a valuable radiological feature of cerebral metastasis

Chengcheng Zhou1, Zixiao Yang1, Zhengwei Yao2

  • 1Department of Neurosurgery, Huashan Hospital, Shanghai, China.

Abstract

Insights

Brain metastasis (bMET) shows more peritumoral oedema (PTO) relative to tumour volume than glioblastoma multiforme (GBM). The ratio of PTO to tumour volume (Rvol) can effectively differentiate bMET from GBM.

Area of Science:

  • Neuro-oncology
  • Radiology
  • Medical Imaging Analysis

Background:

  • Peritumoral oedema (PTO) is a common MRI finding in malignant brain tumors like brain metastasis (bMET) and glioblastoma multiforme (GBM).
  • Differentiating between bMET and GBM is crucial for treatment planning and prognosis.

Purpose of the Study:

  • To compare the volume ratio of PTO to tumour lesion (Rvol) between bMET and GBM.
  • To establish Rvol as a potential imaging biomarker for distinguishing bMET from GBM.

Main Methods:

  • A semi-automatic MRI analysis methodology was employed on 56 patients with solitary bMET or GBM.
  • Tumour volumes were quantified using enhanced T1 images, and PTO volumes (Voedema) were segmented using T2 fluid-attenuated inversion-recovery images.
  • Statistical analysis using SPSS was performed to interpret quantitative volumes and Rvol, considering lesion location and pathology.

Main Results:

  • Brain metastasis (bMET) exhibited a statistically significant higher Rvol compared to glioblastoma multiforme (GBM) (p=0.015).
  • Supra-bMET showed smaller tumour volumes but larger PTO compared to GBM.
  • An Rvol cut-off of 3.9 demonstrated 90.0% specificity and 68.8% sensitivity in differentiating bMET from GBM.

Conclusions:

  • Semi-automatic segmentation is an effective method for quantifying irregular PTO.
  • bMET typically presents with more extensive oedema relative to its tumour volume when compared to GBM.
  • The Rvol serves as a valuable index for distinguishing bMET from GBM on MRI.

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