AJDRAJNR - American Journal of Neuroradiology

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American Journal of Neuroradiology 2009;30:681.

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BRAIN

Cerebral Blood Volume Measurements by Perfusion-Weighted MR Imaging in Gliomas: Ready for the Prime Time in Predicting Short-Term Outcome and Recurrent Disease?

S. Bisdas, M. Kirkpatrick, P. Giglio, C. Welsh, M.V. Spampinato and Z. Rumboldt

From the Departments of Radiology and Radiological Sciences (S.B., M.V.S., Z.R.), Neurosciences (P.G.), and Pathology (C.W.), Medical University of South Carolina, Charleston, SC; Department of Neuroradiology (S.B.), Eberhard Karls University, Tübingen, Germany; and College of Medicine (M.K.), Medical University of South Carolina, Charleston, SC.

Please address correspondence to Zoran Rumboldt, MD, Department of Radiology and Radiological Sciences, Medical University of South Carolina, 96 Jonathan Lucas St, MSC 323, Charleston, SC 29425; e-mail: rumbolz{at}musc.edu

BACKGROUND AND PURPOSE: Current classification and grading of primary brain tumors has significant limitations. Our aim was to determine whether the relative cerebral volume (rCBV) measurements in gliomas may serve as an adjunct to histopathologic grading, with a hypothesis that rCBV values are more accurate in predicting 1-year survival and recurrence.

MATERIALS AND METHODS: Thirty-four patients with gliomas (WHO grade I-IV, 27 astrocytomas, 7 tumors with oligodendroglial components) underwent contrast-enhanced MR rCBV measurements before treatment. The region of interest and the single pixel with the maximum CBV value within the tumors were normalized relative to the contralateral normal tissue (rCBVmean and rCBVmax, respectively). Karnofsky performance score and progression-free survival (PFS) were recorded. Receiver operating characteristic curves and Kaplan-Meier survival analysis were conducted for CBV and histologic grade (WHO grade).

RESULTS: Significant correlations were detected only when patients with oligodendrogliomas and oligoastrocytomas were excluded. The rCBVmean and rCBVmax in the astrocytomas were 3.5 ± 2.9 and 3.7 ± 2.7. PFS correlated with rCBV parameters (r = –0.54 to –0.56, P ≤ .009). WHO grade correlated with rCBV values (r = 0.65, P ≤ .0002). rCBVmax >4.2 was found to be a significant cutoff value for recurrence prediction with 77.8% sensitivity and 94.4% specificity (P = .0001). rCBVmax ≤3.8 was a significant predictor for 1-year survival (93.7% sensitivity, 72.7% specificity, P = .0002). The relative risk for shorter PFS was 11.1 times higher for rCBVmax >4.2 (P = .0006) and 6.7 times higher for WHO grade >II (P = .05). The combined CBV–WHO grade classification enhanced the predictive value for recurrence/progression (P < .0001).

CONCLUSIONS: rCBV values in astrocytomas but not tumors with oligodendroglial components are predictive for recurrence and 1-year survival and may be more accurate than histopathologic grading.