Abstract
BACKGROUND AND PURPOSE: Hypoxic tissue evaluation in glioma is important for predicting treatment response and establishing antihypoxia therapy. In this preliminary study, 62Cu-ATSM PET was used to determine its validity as a biomarker for distinguishing tumor grade and tissue hypoxia. MATERIALS AND METHODS: 62Cu-ATSM PET was performed in 22 patients with glioma, and the 62Cu-ATSM SUVmax and T/B ratio were semiquantitatively evaluated. 62Cu-ATSM uptake distribution was qualitatively evaluated and compared with MR imaging findings. HIF-1α expression, a hypoxia marker, was compared with 62Cu-ATSM uptake values. RESULTS: The 62Cu-ATSM SUVmax and T/B ratio were significantly higher in grade IV than in grade III gliomas (P = .014 and .018, respectively), whereas no significant differences were found between grade III and grade II gliomas. At a T/B ratio cutoff threshold of 1.8, 62Cu-ATSM uptake was predictive of HIF-1α expression, with 92.3% sensitivity and 88.9% specificity. The mean T/B ratio was also significantly higher in HIF-1α-positive glioma tissue than in HIF-1α-negative tissue (P=.001). Using this optimal threshold of T/B ratio, 62Cu-ATSM PET showed regional uptake in 61.9% (13/21) of tumors within the contrast-enhanced region on MR imaging, which was significantly correlated with presence of a necrotic component (P = .002). CONCLUSIONS: Our results demonstrated that 62Cu-ATSM uptake is relatively high in grade IV gliomas and correlates with the MR imaging findings of necrosis. Moreover, the 62Cu-ATSM T/B ratio showed significant correlation with HIF-1α expression. Thus, 62Cu-ATSM appears to be a suitable biomarker for predicting highly malignant grades and tissue hypoxia in patients with glioma.
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CITATION STYLE
Tateishi, K., Tateishi, U., Sato, M., Yamanaka, S., Kanno, H., Murata, H., … Kawahara, N. (2013). Application of 62Cu-diacetyl-bis (N4- methylthiosemicarbazone) PET imaging to predict highly malignant tumor grades and hypoxia-inducible factor-1α expression in patients with glioma. American Journal of Neuroradiology, 34(1), 92–99. https://doi.org/10.3174/ajnr.A3159
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