Brain Sciences (Jan 2022)

Prediction and Visualization of Non-Enhancing Tumor in Glioblastoma via T1w/T2w-Ratio Map

  • Shota Yamamoto,
  • Takahiro Sanada,
  • Mio Sakai,
  • Atsuko Arisawa,
  • Naoki Kagawa,
  • Eku Shimosegawa,
  • Katsuyuki Nakanishi,
  • Yonehiro Kanemura,
  • Manabu Kinoshita,
  • Haruhiko Kishima

DOI
https://doi.org/10.3390/brainsci12010099
Journal volume & issue
Vol. 12, no. 1
p. 99

Abstract

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One of the challenges in glioblastoma (GBM) imaging is to visualize non-enhancing tumor (NET) lesions. The ratio of T1- and T2-weighted images (rT1/T2) is reported as a helpful imaging surrogate of microstructures of the brain. This research study investigated the possibility of using rT1/T2 as a surrogate for the T1- and T2-relaxation time of GBM to visualize NET effectively. The data of thirty-four histologically confirmed GBM patients whose T1-, T2- and contrast-enhanced T1-weighted MRI and 11C-methionine positron emission tomography (Met-PET) were available were collected for analysis. Two of them also underwent MR relaxometry with rT1/T2 reconstructed for all cases. Met-PET was used as ground truth with T2-FLAIR hyperintense lesion, with >1.5 in tumor-to-normal tissue ratio being NET. rT1/T2 values were compared with MR relaxometry and Met-PET. rT1/T2 values significantly correlated with both T1- and T2-relaxation times in a logarithmic manner (p p = 0.01). In conclusion, this research study supported the hypothesis that rT1/T2 could be a promising imaging marker for NET identification.

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