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Prediction and Visualization of Non-Enhancing Tumor in Glioblastoma via T1w/T2w-Ratio Map
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- Shota Yamamoto
- Department of Neurosurgery, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
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- Takahiro Sanada
- Department of Neurosurgery, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
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- Mio Sakai
- Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Chuo-ku, Osaka 541-8567, Japan
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- Atsuko Arisawa
- Department of Diagnostic Radiology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
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- Naoki Kagawa
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
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- Eku Shimosegawa
- Department of Molecular Imaging in Medicine, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
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- Katsuyuki Nakanishi
- Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Chuo-ku, Osaka 541-8567, Japan
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- Yonehiro Kanemura
- Department of Biomedical Research and Innovation, Institute for Clinical Research, National Hospital Organization Osaka National Hospital, Chuo-ku, Osaka 540-0006, Japan
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- Manabu Kinoshita
- Department of Neurosurgery, Asahikawa Medical University, Asahikawa, Hokkaido 078-8510, Japan
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- Haruhiko Kishima
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
Bibliographic Information
- Published
- 2022-01-12
- Resource Type
- journal article
- Rights Information
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- https://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.3390/brainsci12010099
- Publisher
- MDPI AG
Description
<jats:p>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 < 0.05 for both cases). The distributions of rT1/T2 from Met-PET high and low T2-FLAIR hyperintense lesions were different and a novel metric named Likeliness of Methionine PET high (LMPH) deriving from rT1/T2 was statistically significant for detecting Met-PET high T2-FLAIR hyperintense lesions (mean AUC = 0.556 ± 0.117; p = 0.01). In conclusion, this research study supported the hypothesis that rT1/T2 could be a promising imaging marker for NET identification.</jats:p>
Journal
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- Brain Sciences
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Brain Sciences 12 (1), 99-, 2022-01-12
MDPI AG