dc.contributor.author | Vindstad, Benedikte Emilie | |
dc.contributor.author | Skjulsvik, Anne Jarstein | |
dc.contributor.author | Pedersen, Lars Kjelsberg | |
dc.contributor.author | Berntsen, Erik Magnus | |
dc.contributor.author | Solheim, Ole Skeidsvoll | |
dc.contributor.author | Ingebrigtsen, Tor | |
dc.contributor.author | Reinertsen, Ingerid | |
dc.contributor.author | Johansen, Håkon | |
dc.contributor.author | Eikenes, Live | |
dc.contributor.author | Karlberg, Anna Maria | |
dc.date.accessioned | 2024-10-10T08:46:29Z | |
dc.date.available | 2024-10-10T08:46:29Z | |
dc.date.issued | 2024-07-18 | |
dc.description.abstract | Background: 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.citation | Vindstad, 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.cristinID | FRIDAID 2287467 | |
dc.identifier.doi | 10.3390/cancers16142581 | |
dc.identifier.issn | 2072-6694 | |
dc.identifier.uri | https://hdl.handle.net/10037/35170 | |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.relation.journal | Cancers | |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2024 The Author(s) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_US |
dc.rights | Attribution 4.0 International (CC BY 4.0) | en_US |
dc.title | Histomolecular Validation of [18F]-FACBC in Gliomas Using Image-Localized Biopsies | en_US |
dc.type.version | publishedVersion | en_US |
dc.type | Journal article | en_US |
dc.type | Tidsskriftartikkel | en_US |
dc.type | Peer reviewed | en_US |