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dc.contributor.authorVindstad, Benedikte Emilie
dc.contributor.authorSkjulsvik, Anne Jarstein
dc.contributor.authorPedersen, Lars Kjelsberg
dc.contributor.authorBerntsen, Erik Magnus
dc.contributor.authorSolheim, Ole Skeidsvoll
dc.contributor.authorIngebrigtsen, Tor
dc.contributor.authorReinertsen, Ingerid
dc.contributor.authorJohansen, Håkon
dc.contributor.authorEikenes, Live
dc.contributor.authorKarlberg, Anna Maria
dc.date.accessioned2024-10-10T08:46:29Z
dc.date.available2024-10-10T08:46:29Z
dc.date.issued2024-07-18
dc.description.abstractBackground: Gliomas have a heterogeneous nature, and identifying the most aggressive parts of the tumor and defining tumor borders are important for histomolecular diagnosis, surgical resection, and radiation therapy planning. This study evaluated [<sup>18</sup>F]-FACBC PET for glioma tissue classification. Methods: Pre-surgical [<sup>18</sup>F]-FACBC PET/MR images were used during surgery and image-localized biopsy sampling in patients with high- and low-grade glioma. TBR was compared to histomolecular results to determine optimal threshold values, sensitivity, specificity, and AUC values for the classification of tumor tissue. Additionally, PET volumes were determined in patients with glioblastoma based on the optimal threshold. [<sup>18</sup>F]-FACBC PET volumes and diagnostic accuracy were compared to ce-T1 MRI. In total, 48 biopsies from 17 patients were analyzed. Results: [18F]- FACBC had low uptake in non-glioblastoma tumors, but overall higher sensitivity and specificity for the classification of tumor tissue (0.63 and 0.57) than ce-T1 MRI (0.24 and 0.43). Additionally, [ <sup>18</sup>F]-FACBC TBR was an excellent classifier for IDH1-wildtype tumor tissue (AUC: 0.83, 95% CI: 0.71–0.96). In glioblastoma patients, PET tumor volumes were on average eight times larger than ce-T1 MRI volumes and included 87.5% of tumor-positive biopsies compared to 31.5% for ce-T1 MRI. Conclusion: The addition of [<sup>18</sup>F]-FACBC PET to conventional MRI could improve tumor classification and volume delineation.en_US
dc.identifier.citationVindstad, Skjulsvik, Pedersen, Berntsen, Solheim, Ingebrigtsen, Reinertsen, Johansen, Eikenes, Karlberg. Histomolecular Validation of [<sup>18</sup>F]-FACBC in Gliomas Using Image-Localized Biopsies. Cancers. 2024;16(14)en_US
dc.identifier.cristinIDFRIDAID 2287467
dc.identifier.doi10.3390/cancers16142581
dc.identifier.issn2072-6694
dc.identifier.urihttps://hdl.handle.net/10037/35170
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalCancers
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleHistomolecular Validation of [18F]-FACBC in Gliomas Using Image-Localized Biopsiesen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)