EJNMMI Research (Oct 2024)

A study method using early dynamic acquisition of [18F]fluorodopa positron emission tomography for the differential diagnosis between progression and radionecrosis of brain metastases after radiotherapy

  • Ines Barrat,
  • Marc-Etienne Meyer,
  • Alexandre Coutte,
  • Mathieu Boone,
  • Roger Bouzerar,
  • Pascal Bailly

DOI
https://doi.org/10.1186/s13550-024-01158-7
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 9

Abstract

Read online

Abstract Background It is difficult to distinguish between the brain metastasis progression (BMP) and brain radionecrosis (BRN) on the basis of 18F-3,4-dihydroxyphenylalanine positron emission tomography/computed-tomography (18F-FDOPA PET/CT) data. The advent of silicon photomultiplier (SiPM) PET technology makes it possible to study dynamic volumes and potentially improve diagnostic accuracy. We developed a method for processing 18F-FDOPA PET/CT in the differential diagnosis between BMP and BRN. The method involves a short (3-second) sampling time during a 4-minute acquisition on a SiPM-PET/CT machine. We prospectively included 15 patients and 19 metastases. All acquisitions were performed in list mode acquisition for 25 min on a four-ring SiPM PET/CT system. We calculated the ratios between the maximum activity in the lesion’s voxel and the mean activity in the contralateral region (VOImax/CLmean) or the mean activity in the white matter (VOImax/WMmean). Results Seven lesions were classified as BMP and twelve were classified as BRN. Statistically significant intergroup differences in the VOImax/CLmean and VOImax/WMmean activity ratios were observed for both the clinical volume and the early acquisition. The best performing quantitative variable was the VOImax/CLmean ratio on early acquisition, with a diagnostic accuracy of 94.7%, a sensitivity of 100%, and a specificity of 91.7%. Conclusion The 18F-FDOPA PET/CT data acquired a few minutes after the bolus injection confirms its value in differentiating between BMP and BRN, compared to the much longer classic clinical protocol.

Keywords