Discriminating radiation injury from recurrent tumor with [(18)F]PARPi and amino acid PET in mouse models Journal Article


Authors: Donabedian, P. L.; Kossatz, S.; Engelbach, J. A.; Jannetti, S. A.; Carney, B.; Young, R. J.; Weber, W. A.; Garbow, J. R.; Reiner, T.
Article Title: Discriminating radiation injury from recurrent tumor with [(18)F]PARPi and amino acid PET in mouse models
Abstract: Background: Radiation injury can be indistinguishable from recurrent tumor on standard imaging. Current protocols for this differential diagnosis require one or more follow-up imaging studies, long dynamic acquisitions, or complex image post-processing; despite much research, the inability to confidently distinguish between these two entities continues to pose a significant dilemma for the treating clinician. Using mouse models of both glioblastoma and radiation necrosis, we tested the potential of poly(ADP-ribose) polymerase (PARP)-targeted PET imaging with [18F]PARPi to better discriminate radiation injury from tumor. Results: In mice with experimental radiation necrosis, lesion uptake on [18F]PARPi-PET was similar to contralateral uptake (1.02 ± 0.26 lesion/contralateral %IA/ccmax ratio), while [18F]FET-PET clearly delineated the contrast-enhancing region on MR (2.12 ± 0.16 lesion/contralateral %IA/ccmax ratio). In mice with focal intracranial U251 xenografts, tumor visualization on PARPi-PET was superior to FET-PET, and lesion-to-contralateral activity ratios (max/max, p = 0.034) were higher on PARPi-PET than on FET-PET. Conclusions: A murine model of radiation necrosis does not demonstrate [18F]PARPi avidity, and [18F]PARPi-PET is better than [18F]FET-PET in distinguishing radiation injury from brain tumor. [18F]PARPi-PET can be used for discrimination between recurrent tumor and radiation injury within a single, static imaging session, which may be of value to resolve a common dilemma in neuro-oncology. © 2018, The Author(s).
Keywords: biomarkers; radiation injury; radiation necrosis; pet/ct; parp1; amino acid pet
Journal Title: EJNMMI Research
Volume: 8
ISSN: 2191-219X
Publisher: Springer  
Date Published: 2018-07-04
Start Page: 59
Language: English
DOI: 10.1186/s13550-018-0399-z
PROVIDER: scopus
PMCID: PMC6031550
PUBMED: 29974335
DOI/URL:
Notes: Article -- Export Date: 1 August 2018 -- Source: Scopus
Altmetric Score
MSK Authors
  1. Robert J Young
    108 Young
  2. Thomas Reiner
    70 Reiner
  3. Wolfgang Andreas Weber
    147 Weber
  4. Susanne   Kossatz
    24 Kossatz
  5. Brandon Daniel Carney
    17 Carney