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      Relative Cerebral Blood Volume Values to Differentiate High-Grade Glioma Recurrence from Posttreatment Radiation Effect: Direct Correlation between Image-Guided Tissue Histopathology and Localized Dynamic Susceptibility-Weighted Contrast-Enhanced Perfusion MR Imaging Measurements

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          Abstract

          BACKGROUND AND PURPOSE: Differentiating tumor growth from posttreatment radiation effect (PTRE) remains a common problem in neuro-oncology practice. To our knowledge, useful threshold relative cerebral blood volume (rCBV) values that accurately distinguish the 2 entities do not exist. Our prospective study uses image-guided neuronavigation during surgical resection of MR imaging lesions to correlate directly specimen histopathology with localized dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging (DSC) measurements and to establish accurate rCBV threshold values, which differentiate PTRE from tumor recurrence.

          MATERIALS AND METHODS: Preoperative 3T gradient-echo DSC and contrast-enhanced stereotactic T1-weighted images were obtained in patients with high-grade glioma (HGG) previously treated with multimodality therapy. Intraoperative neuronavigation documented the stereotactic location of multiple tissue specimens taken randomly from the periphery of enhancing MR imaging lesions. Coregistration of DSC and stereotactic images enabled calculation of localized rCBV within the previously recorded specimen locations. All tissue specimens were histopathologically categorized as tumor or PTRE and were correlated with corresponding rCBV values. All rCBV values were T1-weighted leakage-corrected with preload contrast-bolus administration and T2/T2*-weighted leakage-corrected with baseline subtraction integration.

          RESULTS: Forty tissue specimens were collected from 13 subjects. The PTRE group ( n = 16) rCBV values ranged from 0.21 to 0.71, tumor ( n = 24) values ranged from 0.55 to 4.64, and 8.3% of tumor rCBV values fell within the PTRE group range. A threshold value of 0.71 optimized differentiation of the histopathologic groups with a sensitivity of 91.7% and a specificity of 100%.

          CONCLUSIONS: rCBV measurements obtained by using DSC and the protocol we have described can differentiate HGG recurrence from PTRE with a high degree of accuracy.

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          Author and article information

          Journal
          AJNR Am J Neuroradiol
          AJNR Am J Neuroradiol
          ajnr
          AJNR: American Journal of Neuroradiology
          American Society of Neuroradiology
          0195-6108
          1936-959X
          March 2009
          : 30
          : 3
          : 552-558
          Affiliations
          [a ]Department of Radiology, Mayo Clinic, Phoenix/Scottsdale, Ariz
          [b ]Department of Neuroradiology, Barrow Neurological Institute, Phoenix, Ariz
          [c ]Department of Neuropsychology Neuroimaging Laboratory, Barrow Neurological Institute, Phoenix, Ariz
          [d ]Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Ariz
          [e ]Department of Neurology, Barrow Neurological Institute, Phoenix, Ariz
          [f ]Department of Neuropathology, Barrow Neurological Institute, Phoenix, Ariz
          [g ]Keller Center for Imaging Innovation, Barrow Neurological Institute, Phoenix, Ariz
          [h ]Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, Calif
          Author notes
          Please address correspondence to Leland S. Hu, MD, Department of Radiology, Mayo Clinic, 13400 E. Shea Blvd, Scottsdale, AZ 85259; e-mail: Hu.Leland@ 123456Mayo.Edu
          Article
          PMC7051449 PMC7051449 7051449 08-00635
          10.3174/ajnr.A1377
          7051449
          19056837
          ff23b570-7bee-4c17-b963-0744895412dc
          Copyright © American Society of Neuroradiology
          History
          : 25 September 2008
          : 2 July 2008
          Categories
          Brain
          Custom metadata
          552
          March 2009
          Original Research

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