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Qualitative MR features to identify non-enhancing tumors within glioblastoma’s T2-FLAIR hyperintense lesions
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- Shota Yamamoto
- Osaka Greneral Medical Center
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- Yoshiko Okita
- Osaka University Graduate School of Medicine
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- Hideyuki Arita
- Osaka International Cancer Institute
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- Takahiro Sanada
- Asahikawa Medical University
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- Mio Sakai
- Osaka International Cancer Institute
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- Atsuko Arisawa
- Osaka University Graduate School of Medicine
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- Naoki Kagawa
- Osaka University Graduate School of Medicine
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- Eku Shimosegawa
- Osaka University Graduate School of Medicine
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- Katsuyuki Nakanishi
- Osaka University Graduate School of Medicine
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- Manabu Kinoshita
- Asahikawa Medical University
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- Haruhiko Kishima
- Osaka University Graduate School of Medicine
Bibliographic Information
- Published
- 2023-08-28
- Resource Type
- journal article
- Rights Information
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- https://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.21203/rs.3.rs-3289259/v1
- 10.1007/s11060-023-04454-9
- Publisher
- Research Square Platform LLC
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Description
<jats:title>Abstract</jats:title> <jats:p>Purpose To identify qualitative MRI features of non-(contrast)-enhancing tumor (nCET) in glioblastoma’s T2-FLAIR hyperintense lesion. Methods Thirty-three histologically confirmed glioblastoma patients whose T1-, T2- and contrast-enhanced T1-weighted MRI and <jats:sup>11</jats:sup>C-methionine positron emission tomography (Met-PET) were available were included in this study. Met-PET was utilized as a surrogate for tumor burden. Imaging features for identifying nCET were searched by qualitative examination of 156 targets. A new scoring system to identify nCET was established and validated by two independent observers. Results Three imaging features were found helpful for identifying nCET; “Bulky”, “Around the rim of contrast-enhancement (Around-rim),” and “High-intensity on T1WI and low-intensity on T2WI (HighT1LowT2)” resulting in an nCET score = 2 x bulky – 2 x Around-rim + HighT1LowT2. The nCET score’s classification performances of two independent observers measured by AUC were 0.78 and 0.80, with sensitivities and specificities using a threshold of four being 0.443 and 0.771, and 0.916 and 0.768, respectively. The weighted kappa coefficient for the nCET score was 0.946 Conclusion The current investigation demonstrated that qualitative assessments of glioblastoma’s MRI might help identify nCET in T2/FLAIR high-intensity lesions. The novel nCET score is expected to aid in expanding treatment targets within the T2/FLAIR high-intensity lesions.</jats:p>
Journal
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- Journal of Neuro-Oncology
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Journal of Neuro-Oncology 165 (2), 251-259, 2023-08-28
Research Square Platform LLC