ID | 109680 |
Title Alternative | 短時間の造影ダイナミック灌流画像を用いた脳腫瘍の質的診断について
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Author |
Nakajima, Kohhei
The University of Tokushima
Tokushima University Educator and Researcher Directory
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Otomi, Yoichi
The University of Tokushima
Tokushima University Educator and Researcher Directory
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Irahara, Saho
The University of Tokushima
Obama, Yuki
The University of Tokushima
Majigsuren, Mungunkhuyag
The University of Tokushima
Khashbat, Delgerdalai
The University of Tokushima
Nagahiro, Shinji
The University of Tokushima
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Harada, Masafumi
The University of Tokushima
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Keywords | Magnetic resonance imaging (MRI)
Dynamic contrast enhanced (DCE) perfusion
Brain tumor
Two-compartment model analysis
Pharmacokinetic model analysis
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Content Type |
Thesis or Dissertation
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Description | This study sought to determine the diagnostic utility of perfusion parameters derived from dynamic contrast-enhanced (DCE) perfusion MRI with a short acquisition time (approximately 3.5 min) in patients with glioma, brain metastasis, and primary CNS lymphoma (PCNSL).
Twenty-six patients with 29 lesions (4 low-grade glioma, 13 high-grade glioma, 7 metastasis, and 5 PCNSL) underwent DCE-MRI in a 3 T scanner. A ROI was placed on the hotspot of each tumor in maps for volume transfer contrast Ktrans, extravascular extracellular volume Ve, and fractional plasma volume Vp. We analyzed differences in parameters between tumors using the Mann–Whitney U test. We calculated sensitivity and specificity using receiver operating characteristics analysis. Mean K trans values of LGG, HGG, metastasis and PCNSL were 0.034, 0.31, 0.38, 0.44, respectively. Mean Ve values of each tumors was 0.036, 0.57, 0.47, 0.96, and mean Vp value of each tumors was 0.070, 0.086, 0.26, 0.17, respectively. Compared with other tumor types, low-grade glioma showed lower Ktrans (P < 0.01, sensitivity = 88%, specificity = 100%) and lower Ve (P < 0.01, sensitivity = 96%, specificity = 100%). PCNSL showed higher Ve (P < 0.01, sensitivity = 100%, specificity = 88%), but the other perfusion parameters overlapped with those of different histology. Kinetic parameters derived from DCE-MRI with short acquisition time provide useful information for the differential diagnosis of brain tumors. |
Journal Title |
SpringerPlus
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ISSN | 21931801
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Publisher | Springer
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Volume | 4
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Start Page | 88
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Published Date | 2015-02-24
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Remark | 内容要旨・審査要旨・論文本文の公開:
内容要旨・審査要旨 : LID201606031003.pdf 論文本文 : LID201606031004.pdf 本論文は, 著者Takashi Abeの学位論文として提出され, 学位審査・授与の対象となっている。 |
Rights | Copyright: © 2015 Abe et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
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EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
eng
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TextVersion |
ETD
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MEXT report number | 甲第2898号
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Diploma Number | 甲医第1272号
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Granted Date | 2016-03-23
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Degree Name |
Doctor of Medical Science
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Grantor |
Tokushima University
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departments |
Medical Sciences
University Hospital
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