| Item type |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2022-01-04 |
| タイトル |
|
|
タイトル |
Differentiating between Primary Central Nervous System Lymphoma and Glioblastoma: The Diagnostic Value of Combining 18F-fluorodeoxyglucose Positron Emission Tomography with Arterial Spin Labeling |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
FDG-PET |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
arterial spin labeling |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
glioblastoma |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
primary central nervous system lymphoma |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
differentiation |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 作成者 |
HATAKEYAMA, Junya
ONO, Takahiro
TAKAHASHI, Masataka
ODA, Masaya
SHIMIZU, Hiroaki
|
| 内容記述 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Using conventional magnetic resonance imaging (MRI) methods, the differentiation of primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) is often difficult due to overlapping imaging characteristics. This study aimed to evaluate the diagnostic value of combining 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) with arterial spin labeling (ASL) for differentiating PCNSL from GBM. In all, 20 patients with PCNSL and 55 with GBM were retrospectively examined. From the FDG-PET data, the maximum standardized uptake values (SUVmax) and the ratio of tumor to normal contralateral gray matter (T/N_SUVmax) were calculated. From the ASL data, the T/N ratio of the maximum tumor blood flow (relative TBFmax: rTBFmax) was obtained. Diagnostic performance of each parameter was analyzed using univariate and multivariate logistic regression analyses and receiver-operating characteristic (ROC) curve analyses. A generalized linear model was applied for comparing the performance of FDG-PET and ASL individually, and in combination. In univariate analysis, SUVmax and T/N_SUVmax were statistically higher in patients with PCNSL and rTBFmax was higher in patients with GBM. In the multivariate analysis, T/N_SUVmax and rTBFmax were statistically independent. The sensitivity, specificity, and area under the curve (AUC) for discriminating PCNSL from GBM were 100%, 87.3%, and 0.950 in T/N_SUVmax; 90%, 72.7%, and 0.824 in rTBFmax; and 95%, 96.4%, and 0.991 in the combined model, respectively. The combined use of T/N_SUVmax and rTBFmax may contribute to better differentiation between PCNSL and GBM. |
|
言語 |
en |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 書誌情報 |
Neurologia medico-chirurgica
巻 61,
号 6,
p. 367-375,
発行日 2021
|
| 収録物識別子 |
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|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1349-8029 |
| 出版者 |
|
|
出版者 |
The Japan Neurosurgical Society |
| 関連情報 |
|
|
関連タイプ |
isIdenticalTo |
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|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.2176/nmc.oa.2020-0375 |
| 権利情報 |
|
|
権利情報 |
© 2021 by The Japan Neurosurgical Society This work is licensed under a Creative Commons AttributionNonCommercial-NoDerivatives International License. |
iA_2021_40 (1.2 MB)
