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  • 1
    In: European Journal of Nuclear Medicine and Molecular Imaging, Springer Science and Business Media LLC
    Kurzfassung: MRI and PET are used in neuro-oncology for the detection and characterisation of lesions for malignancy to target surgical biopsy and to plan surgical resections or stereotactic radiosurgery. The critical role of short-chain fatty acids (SCFAs) in brain tumour biology has come to the forefront. The non-metabolised SCFA radiotracer, [ 18 F]fluoropivalate (FPIA), shows low background signal in most tissues except eliminating organs and has appropriate human dosimetry. Tumour uptake of the radiotracer is, however, unknown. We investigated the uptake characteristics of FPIA in this pilot PET/MRI study. Methods Ten adult glioma subjects were identified based on radiological features using standard-of-care MRI prior to any surgical intervention, with subsequent histopathological confirmation of glioma subtype and grade (lower-grade – LGG – and higher-grade – HGG – patients). FPIA was injected as an intravenous bolus injection (range 342–368 MBq), and dynamic PET and MRI data were acquired simultaneously over 66 min. Results All patients tolerated the PET/MRI protocol. Three patients were reclassified following resection and histology. Tumour maximum standardised uptake value (SUV max,60 ) increased in the order LGG (WHO grade 2)  〈  HGG (WHO grade 3)  〈  HGG (WHO grade 4). The net irreversible solute transfer, Ki, and influx rate constant, K1, were significantly higher in HGG ( p   〈  0.05). Of the MRI variables studied, DCE-MRI-derived extravascular-and-extracellular volume fraction (v e ) was high in tumours of WHO grade 4 compared with other grades ( p   〈  0.05). SLC25A20 protein expression was higher in HGG compared with LGG. Conclusion Tumoural FPIA PET uptake is higher in HGG compared to LGG. This study supports further investigation of FPIA PET/MRI for brain tumour imaging in a larger patient population. Clinical trial registration Clinicaltrials.gov, NCT04097535.
    Materialart: Online-Ressource
    ISSN: 1619-7070 , 1619-7089
    Sprache: Englisch
    Verlag: Springer Science and Business Media LLC
    Publikationsdatum: 2023
    ZDB Id: 2098375-X
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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