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PT  - JOURNAL ARTICLE
AU  - Noguchi, T.
AU  - Yoshiura, T.
AU  - Hiwatashi, A.
AU  - Togao, O.
AU  - Yamashita, K.
AU  - Nagao, E.
AU  - Shono, T.
AU  - Mizoguchi, M.
AU  - Nagata, S.
AU  - Sasaki, T.
AU  - Suzuki, S.O.
AU  - Iwaki, T.
AU  - Kobayashi, K.
AU  - Mihara, F.
AU  - Honda, H.
TI  - Perfusion Imaging of Brain Tumors Using Arterial Spin-Labeling: Correlation with Histopathologic Vascular Density
AID  - 10.3174/ajnr.A0903
DP  - 2008 Apr 01
TA  - American Journal of Neuroradiology
PG  - 688--693
VI  - 29
IP  - 4
4099  - http://www.ajnr.org/content/29/4/688.short
4100  - http://www.ajnr.org/content/29/4/688.full
SO  - Am. J. Neuroradiol.2008 Apr 01; 29
AB  - BACKGROUND AND PURPOSE: We investigated the relationship between tumor blood-flow measurement based on perfusion imaging by arterial spin-labeling (ASL-PI) and histopathologic findings in brain tumors.MATERIALS AND METHODS: We used ASL-PI to examine 35 patients with brain tumors, including 11 gliomas, 9 meningiomas, 9 schwannomas, 1 diffuse large B-cell lymphoma, 4 hemangioblastomas, and 1 metastatic brain tumor. As an index of tumor perfusion, the relative signal intensity (SI) of each tumor (%Signal intensity) was determined as a percentage of the maximal SI within the tumor per averaged SI within normal cerebral gray matter on ASL-PI. Relative vascular attenuation (%Vessel) was determined as the total microvessel area per the entire tissue area on CD-34–immunostained histopathologic specimens. MIB1 indices of gliomas were also calculated. The differences in %Signal intensity among different histopathologic types and between high- and low-grade gliomas were compared. In addition, the correlations between %Signal intensity and %Vessel or MIB1 index were evaluated in gliomas.RESULTS: Statistically significant differences in %Signal intensity were observed between hemangioblastomas versus gliomas (P &amp;lt; .005), meningiomas (P &amp;lt; .05), and schwannomas (P &amp;lt; .005). Among gliomas, %Signal intensity was significantly higher for high-grade than for low-grade tumors (P &amp;lt; .05). Correlation analyses revealed significant positive correlations between %Signal intensity and %Vessel in 35 patients, including all 6 histopathologic types (rs = 0.782, P &amp;lt; .00005) and in gliomas (rs = 0.773, P &amp;lt; .05). In addition, in gliomas, %Signal intensity and MIB1 index were significantly positively correlated (rs = 0.700, P &amp;lt; .05).CONCLUSION: ASL-PI may predict histopathologic vascular densities of brain tumors and may be useful in distinguishing between high- and low-grade gliomas and in differentiating hemangioblastomas from other brain tumors.