Abe, Takashi The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Nakajima, Kohhei The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Otomi, Yoichi The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
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 Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Harada, Masafumi The University of Tokushima Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Magnetic resonance imaging (MRI)
Dynamic contrast enhanced (DCE) perfusion
Two-compartment model analysis
Pharmacokinetic model analysis
Thesis or Dissertation
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.
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。
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.
|DOI (Published Version)|
|URL ( Publisher's Version )|
LID201606031003.pdf 316 KB
LID201606031004.pdf 1.08 MB
|MEXT report number||
Doctor of Medical Science