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Histomolecular Validation of [ 18 F]-FACBC in Gliomas Using Image-Localized Biopsies.

Authors :
Vindstad, Benedikte Emilie
Skjulsvik, Anne Jarstein
Pedersen, Lars Kjelsberg
Berntsen, Erik Magnus
Solheim, Ole Skeidsvoll
Ingebrigtsen, Tor
Reinertsen, Ingerid
Johansen, Håkon
Eikenes, Live
Karlberg, Anna Maria
Source :
Cancers; Jul2024, Vol. 16 Issue 14, p2581, 15p
Publication Year :
2024

Abstract

Simple Summary: Gliomas are the most common type of malignant brain tumors in adults. They are frequently heterogeneous, containing regions of varying properties and aggressiveness. It can be challenging to define the tumor borders and identify the most aggressive parts of the tumor based on MRI alone. This study investigates whether PET imaging with amino acid tracer [<superscript>18</superscript>F]-FACBC can provide additional information on the composition of the tumor. The results suggest that uptake of the tracer could be used to identify aggressive tumor tissue with high accuracy, and with higher sensitivity than that of contrast-enhanced MRI. 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 [<superscript>18</superscript>F]-FACBC PET for glioma tissue classification. Methods: Pre-surgical [<superscript>18</superscript>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. [<superscript>18</superscript>F]-FACBC PET volumes and diagnostic accuracy were compared to ce-T1 MRI. In total, 48 biopsies from 17 patients were analyzed. Results: [<superscript>18</superscript>F]-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, [<superscript>18</superscript>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 [<superscript>18</superscript>F]-FACBC PET to conventional MRI could improve tumor classification and volume delineation. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20726694
Volume :
16
Issue :
14
Database :
Complementary Index
Journal :
Cancers
Publication Type :
Academic Journal
Accession number :
178701223
Full Text :
https://doi.org/10.3390/cancers16142581