Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

18F-FACBC PET/MRI in the evaluation of human brain metastases: a case report

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • بيانات النشر:
      SpringerOpen, 2021.
    • الموضوع:
      2021
    • نبذة مختصرة :
      Background Patients with metastatic cancer to the brain have a poor prognosis. In clinical practice, MRI is used to delineate, diagnose and plan treatment of brain metastases. However, MRI alone is limited in detecting micro-metastases, delineating lesions and discriminating progression from pseudo-progression. Combined PET/MRI utilises superior soft tissue images from MRI and metabolic data from PET to evaluate tumour structure and function. The amino acid PET tracer 18F-FACBC has shown promising results in discriminating high- and low-grade gliomas, but there are currently no reports on its use on brain metastases. This is the first study to evaluate the use of 18F-FACBC on brain metastases. Case presentation A middle-aged female patient with brain metastases was evaluated using hybrid PET/MRI with 18F-FACBC before and after stereotactic radiotherapy, and at suspicion of recurrence. Static/dynamic PET and contrast-enhanced T1 MRI data were acquired and analysed. This case report includes the analysis of four 18F-FACBC PET/MRI examinations, investigating their utility in evaluating functional and structural metastasis properties. Conclusion Analysis showed high tumour-to-background ratios in brain metastases compared to other amino acid PET tracers, including high uptake in a very small cerebellar metastasis, suggesting that 18F-FACBC PET can provide early detection of otherwise overlooked metastases. Further studies to determine a threshold for 18F-FACBC brain tumour boundaries and explore its utility in clinical practice should be performed.
    • File Description:
      application/pdf
    • ISSN:
      2510-3636
    • Rights:
      OPEN
    • الرقم المعرف:
      edsair.doi.dedup.....658c18c8f73ab9212e7127bddde0a470