American Journal of Neuroradiology 27:409-417, February 2006
© 2006 American Society of Neuroradiology
BRAIN
Comparison of Microvascular Permeability Measurements, Ktrans, Determined with Conventional Steady-State T1-Weighted and First-Pass T2*-Weighted MR Imaging Methods in Gliomas and Meningiomas
a From the Departments of Radiology, University of California, at San Francisco, San Francisco, Calif
b Department of Neurological Surgery, University of California, at San Francisco, San Francisco, Calif
c Department of Pathology, University of California, at San Francisco, San Francisco, Calif
d Department of Radiology, New York University Medical Center, New York, NY
Address correspondence to Soonmee Cha, MD, Department of Radiology, University of California at San Francisco, 505 Parnassus Ave, Box 0628, Room L358, San Francisco, CA 94143
BACKGROUND AND PURPOSE: The widely accepted MR method for quantitating brain tumor microvascular permeability, Ktrans, is the steady-state T1-weighted gradient-echo method (ssT1). Recently the first-pass T2*-weighted (fpT2*) method has been used to derive both relative cerebral blood volume (rCBV) and Ktrans. We hypothesized that Ktrans derived from the ssT1 and the fpT2* methods will correlate differently in gliomas and meningiomas because of the unique differences in morphologic and functional status of each tumor vascular network.
METHODS: Before surgery, 27 patients with newly diagnosed gliomas (WHO grade IIV; n = 20) or meningiomas (n = 7) underwent conventional anatomic MR imaging and 12 dynamic ssT1 acquisitions followed by 60 dynamic fpT2* images before and after gadopentate dimeglumine administration. The 3 hemodynamic variablesfpT2* rCBV, fpT2* Ktrans, and ssT1 Ktranswere calculated in anatomically identical locations and correlated with glioma grade. The fpT2* Ktrans values were compared with ssT1 Ktrans for gliomas and meningiomas.
RESULTS: All 3 hemodynamic variables displayed distinct distributions among grades 2, 3, and 4 gliomas by using the Kruskal-Wallis test. Only Ktrans values, and not rCBV, could differentiate between grade 4 and lower-grade gliomas by using the Wilcoxon rank sum test. The fpT2* Ktrans was highly predictive of ssT1 Ktrans for gliomas, with an estimated regression coefficient of 0.49 (P < .001). For meningiomas, however, fpT2* Ktrans values correlated poorly with ssT1 Ktrans values (r = 0.26; P = .74).
CONCLUSION: Compared with rCBV, Ktrans values derived from either ssT1 or fpT2* were more predictive of glioma grade. The fpT2* Ktrans was highly correlated with ssT1 Ktrans in gliomas but not in meningiomas.
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