A hybrid [18F]fluoropivalate PET-multiparametric MRI to detect and characterise brain tumour metastases based on a permissive environment for monocarboxylate transport
The incidence of Intracranial Metastatic Disease (IMD) continues to increase in part due to improvements in systemic therapy resulting in durable control of extra-cranial disease (ECD). Contrast-enhanced Magnetic Resonance Imaging (CE-MRI) is the preferred method for imaging IMD, but has limitations particularly in follow-up surveillance scans to optimise patient care. We investigate a new diagnostic approach of hybrid ([<sup>18</sup>]F]fluoropivalate (FPIA) Positron Emission Tomography-multiparametric MRI (PET-mpMRI), in 12 treatment-naïve and 10 stereotactic radiosurgery (SRS)-treated patients (± combination therapy within 4-8 weeks). High FPIA uptake was seen in all IMD compared to contralateral white matter, regardless of ECD tumour-of-origin (p = 0.0001) and FPIA-PET volumes extended beyond CE-MRI volumes in treatment-naïve but not SRS-treated tumours. Patients with maximum PET Standardised Uptake Value, (SUVmax) ≥ 2.0 showed particularly short overall-survival (median 4 v 15 months, p = 0.0136), while CE-MRI was uninformative regarding outcome; a PET-mpMRI grade-measure also provided non-invasive prediction of overall-survival, warranting larger studies of PET-mpMRI. Independent metabolomics analyses were consistent with shared adaptation of IMD to utilise or accumulate monocarboxylates and acylcarnitines, respectively, providing a common phenotypic basis to FPIA-PET. Reprogrammed monocarboxylate metabolism-related FPIA-PET provides new insights into annotating IMD, to be expounded in future opportunities for therapy decisions for the growing number of cancer patients with IMD [Trial registration reference: Clinicaltrials.gov NCT04807582; 3rd November 2021, retrospectively registered].
Authors
- Ignazio Puccio (ORCID: https://orcid.org/0000-0001-9047-2113)
- Preetha Aravind (ORCID: https://orcid.org/0000-0002-9911-7879)
- Tara Barwick (ORCID: https://orcid.org/0000-0002-9776-8766)
- Matthew Williams (ORCID: https://orcid.org/0000-0001-7096-0718)
- Laura McLeavy (ORCID: https://orcid.org/0000-0002-0705-9342)
- Syed Islam (ORCID: https://orcid.org/0000-0002-8344-0604)
- Adam Waldman (ORCID: https://orcid.org/0000-0003-4398-6431)
- Marianna Inglese (ORCID: https://orcid.org/0000-0002-9154-8260)
- Haonan Lu (ORCID: https://orcid.org/0000-0002-2472-7488)
- Lin Y. Hung (ORCID: https://orcid.org/0000-0002-5670-3907)
- Erik Årstad (ORCID: https://orcid.org/0000-0002-3240-2106)
- Eric O. Aboagye (ORCID: https://orcid.org/0000-0003-2276-6771)
- James Z. Wang (ORCID: https://orcid.org/0000-0003-4379-4173)
- Francesco Mauri (ORCID: https://orcid.org/0000-0003-4818-8500)
- Kevin O’Neill
Institutions
- University of Rome Tor Vergata (IT)
- Imperial College Healthcare NHS Trust (GB)
- Hammersmith Hospital (GB)
- University College London (GB)
- Imperial College London (GB)
- University of Hong Kong (HK)
- University of Edinburgh (GB)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1007/s00259-025-07118-0
- Citations
- 1
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Medical Research Council