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Research ArticleADULT BRAIN

Multiparametric Evaluation in Differentiating Glioma Recurrence from Treatment-Induced Necrosis Using Simultaneous 18F-FDG-PET/MRI: A Single-Institution Retrospective Study

A. Jena, S. Taneja, A. Jha, N.K. Damesha, P. Negi, G.K. Jadhav, S.M. Verma and S.K. Sogani
American Journal of Neuroradiology May 2017, 38 (5) 899-907; DOI: https://doi.org/10.3174/ajnr.A5124
A. Jena
aFrom the PET SUITE (A. Jena, S.T., A. Jha, P.N.)
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S. Taneja
aFrom the PET SUITE (A. Jena, S.T., A. Jha, P.N.)
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A. Jha
aFrom the PET SUITE (A. Jena, S.T., A. Jha, P.N.)
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N.K. Damesha
cNeurosurgery (N.K.D., S.K.S.), Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, India.
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P. Negi
aFrom the PET SUITE (A. Jena, S.T., A. Jha, P.N.)
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G.K. Jadhav
bDepartments of Molecular Imaging and Nuclear Medicine, Radiation Oncology (G.K.J., S.M.V.)
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S.M. Verma
bDepartments of Molecular Imaging and Nuclear Medicine, Radiation Oncology (G.K.J., S.M.V.)
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S.K. Sogani
cNeurosurgery (N.K.D., S.K.S.), Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, India.
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Abstract

BACKGROUND AND PURPOSE: Differentiating glioma recurrence from treatment-induced necrosis can be a challenge on conventional imaging. This study aimed to assess the diagnostic performance of each functional MR imaging and PET parameter derived by using simultaneous FDG-PET/MR imaging individually and in combination in the evaluation of suspected glioma recurrence.

MATERIALS AND METHODS: Thirty-five treated glioma patients with 41 enhancing lesions (World Health Organization grade II = 9, III = 13, IV = 19) on MR imaging after an operation followed by radiation therapy and/or chemotherapy formed part of this study. Using PET/MR imaging, we calculated the normalized mean relative CBV, mean ADC, Cho/Cr, and maximum and mean target-to-background ratios. Statistical analysis was performed to determine the diagnostic performance of each parameter by receiver operating characteristic analysis individually and in combination with multivariate receiver operating characteristic analysis for the detection of glioma recurrence. Histopathology or clinicoradiologic follow-up was considered the criterion standard.

RESULTS: Of 35 patients, 25 (30 lesions) were classified as having a recurrence and 10 (11 lesions) patients as having treatment-induced necrosis. Parameters like rCBVmean (mean relative CBV), ADCmean, Cho/Cr, and maximum and mean target-to-background ratios were statistically significant in the detection of recurrent lesions with an accuracy of 77.5%, 78.0%, 90.9%, 87.8%, and 87.8%, respectively. On multivariate receiver operating characteristic analysis, the combination of all 3 MR imaging parameters resulted in an area under the curve of 0.913 ± 0.053. Furthermore, an area under the curve of 0.935 ± 0.046 was obtained when MR imaging parameters (ADCmean and Cho/Cr) were combined with the PET parameter (mean target-to-background ratio), demonstrating an increase in diagnostic accuracy.

CONCLUSIONS: Simultaneous PET/MR imaging with FDG offers correlative and synergistic multiparametric assessment of glioma recurrence with increased accuracy and clinical utility.

ABBREVIATIONS:

AUC
area under the curve
CE
contrast-enhanced
max
maximum
rCBV
relative cerebral blood volume
ROC
receiver operating characteristic
SUV
standardized uptake value
TBR
target-to-background ratio
  • © 2017 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 38 (5)
American Journal of Neuroradiology
Vol. 38, Issue 5
1 May 2017
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Cite this article
A. Jena, S. Taneja, A. Jha, N.K. Damesha, P. Negi, G.K. Jadhav, S.M. Verma, S.K. Sogani
Multiparametric Evaluation in Differentiating Glioma Recurrence from Treatment-Induced Necrosis Using Simultaneous 18F-FDG-PET/MRI: A Single-Institution Retrospective Study
American Journal of Neuroradiology May 2017, 38 (5) 899-907; DOI: 10.3174/ajnr.A5124

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Multiparametric Evaluation in Differentiating Glioma Recurrence from Treatment-Induced Necrosis Using Simultaneous 18F-FDG-PET/MRI: A Single-Institution Retrospective Study
A. Jena, S. Taneja, A. Jha, N.K. Damesha, P. Negi, G.K. Jadhav, S.M. Verma, S.K. Sogani
American Journal of Neuroradiology May 2017, 38 (5) 899-907; DOI: 10.3174/ajnr.A5124
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