Discriminating radiation injury from recurrent tumor with [18F]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 t...

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Main Authors: Patrick L. Donabedian, Susanne Kossatz, John A. Engelbach, Stephen A. Jannetti, Brandon Carney, Robert J. Young, Wolfgang A. Weber, Joel R. Garbow, Thomas Reiner
Format: Article
Language:English
Published: SpringerOpen 2018-07-01
Series:EJNMMI Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13550-018-0399-z
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spelling doaj-3f947d958e0241a2a07b1ad001ca3df42020-11-25T02:01:47ZengSpringerOpenEJNMMI Research2191-219X2018-07-018111010.1186/s13550-018-0399-zDiscriminating radiation injury from recurrent tumor with [18F]PARPi and amino acid PET in mouse modelsPatrick L. Donabedian0Susanne Kossatz1John A. Engelbach2Stephen A. Jannetti3Brandon Carney4Robert J. Young5Wolfgang A. Weber6Joel R. Garbow7Thomas Reiner8Department of Radiology, Memorial Sloan-Kettering Cancer CenterDepartment of Radiology, Memorial Sloan-Kettering Cancer CenterDepartment of Radiology, Washington UniversityDepartment of Radiology, Memorial Sloan-Kettering Cancer CenterDepartment of Radiology, Memorial Sloan-Kettering Cancer CenterDepartment of Radiology, Memorial Sloan-Kettering Cancer CenterDepartment of Radiology, Memorial Sloan-Kettering Cancer CenterDepartment of Radiology, Washington UniversityDepartment of Radiology, Memorial Sloan-Kettering Cancer CenterAbstract 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.http://link.springer.com/article/10.1186/s13550-018-0399-zPET/CTPARP1Radiation necrosisRadiation injuryAmino acid PETBiomarkers
collection DOAJ
language English
format Article
sources DOAJ
author Patrick L. Donabedian
Susanne Kossatz
John A. Engelbach
Stephen A. Jannetti
Brandon Carney
Robert J. Young
Wolfgang A. Weber
Joel R. Garbow
Thomas Reiner
spellingShingle Patrick L. Donabedian
Susanne Kossatz
John A. Engelbach
Stephen A. Jannetti
Brandon Carney
Robert J. Young
Wolfgang A. Weber
Joel R. Garbow
Thomas Reiner
Discriminating radiation injury from recurrent tumor with [18F]PARPi and amino acid PET in mouse models
EJNMMI Research
PET/CT
PARP1
Radiation necrosis
Radiation injury
Amino acid PET
Biomarkers
author_facet Patrick L. Donabedian
Susanne Kossatz
John A. Engelbach
Stephen A. Jannetti
Brandon Carney
Robert J. Young
Wolfgang A. Weber
Joel R. Garbow
Thomas Reiner
author_sort Patrick L. Donabedian
title Discriminating radiation injury from recurrent tumor with [18F]PARPi and amino acid PET in mouse models
title_short Discriminating radiation injury from recurrent tumor with [18F]PARPi and amino acid PET in mouse models
title_full Discriminating radiation injury from recurrent tumor with [18F]PARPi and amino acid PET in mouse models
title_fullStr Discriminating radiation injury from recurrent tumor with [18F]PARPi and amino acid PET in mouse models
title_full_unstemmed Discriminating radiation injury from recurrent tumor with [18F]PARPi and amino acid PET in mouse models
title_sort discriminating radiation injury from recurrent tumor with [18f]parpi and amino acid pet in mouse models
publisher SpringerOpen
series EJNMMI Research
issn 2191-219X
publishDate 2018-07-01
description 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.
topic PET/CT
PARP1
Radiation necrosis
Radiation injury
Amino acid PET
Biomarkers
url http://link.springer.com/article/10.1186/s13550-018-0399-z
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