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Abstract 1869: Improved image-guided surgical resection of glioblastoma with [18F]-fluoroethyltyrosine Cerenkov luminescence imaging

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The ability of a surgeon to completely resect a tumor is directly related to outcome in high- and low-grade gliomas. However current intraoperative navigational tools are useful only in a… Click to show full abstract

The ability of a surgeon to completely resect a tumor is directly related to outcome in high- and low-grade gliomas. However current intraoperative navigational tools are useful only in a subset of glioma patients and do not detect the full extent of disease. We modelled orthotopic brain tumors by stereotactically implanting human U87, rat F98 and C6 glioblastoma cells into the forebrains of rats. We show here that a new hybrid PET-Cerenkov luminescence imaging approach using O-(2-[18F]fluoroethyl)-L-tyrosine (FET) can accurately delineate tumor margins pre- and intra-operatively. We demonstrate consistency in the successful localisation and quantification of tumor burden using PET and Cerenkov luminescence imaging. The Cerenkov signal in individual tumors was directly proportional to the signal detected in corresponding FET PET scans (y = 1.06x - 0.01; R2 = 0.98; p FET PET-Cerenkov luminescence imaging has the potential for guiding resections in a much broader range of glioma patients than current approaches. Previous clinical experience with FET offers a facile route for clinical translation of this technology. Citation Format: David Y. Lewis, Richard Mair, Alan J. Wright, Kieren Allinson, Scott K. Lyons, Tom Booth, Robert Bielik, Dmitry Soloviev, Kevin M. Brindle. Improved image-guided surgical resection of glioblastoma with [18F]-fluoroethyltyrosine Cerenkov luminescence imaging [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1869. doi:10.1158/1538-7445.AM2017-1869

Keywords: improved image; cerenkov luminescence; luminescence imaging; glioblastoma

Journal Title: Cancer Research
Year Published: 2017

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