This title appears in the Scientific Report :
2021
Please use the identifier:
http://dx.doi.org/10.1093/noajnl/vdab044 in citations.
Please use the identifier: http://hdl.handle.net/2128/28163 in citations.
Combined 18F-FET PET and diffusion kurtosis MRI in post-treatment glioblastoma: differentiation of true progression from treatment related changes
Combined 18F-FET PET and diffusion kurtosis MRI in post-treatment glioblastoma: differentiation of true progression from treatment related changes
BackgroundRadiological differentiation of tumor progression (TPR) from treatment-related changes (TRC) in pretreated glioblastoma is crucial. This study aimed to explore the diagnostic value of diffusion kurtosis MRI combined with information derived from O-(2-[18F]-fluoroethyl)-l-tyrosine (18F-FET)...
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Personal Name(s): | D’Amore, Francesco |
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Grinberg, Farida / Mauler, Jörg / Galldiks, Norbert / Blazhenets, Ganna / Farrher, Ezequiel / Filss, Christian / Stoffels, Gabriele / Mottaghy, Felix M / Lohmann, Philipp / Shah, N Jon / Langen, Karl-Josef (Corresponding author) | |
Contributing Institute: |
Physik der Medizinischen Bildgebung; INM-4 Jara-Institut Quantum Information; INM-11 Jülich-Aachen Research Alliance - Translational Brain Medicine; JARA-BRAIN |
Published in: | Neuro-Oncology Advances Neuro-oncology advances, 3 3 (2021 2021) 1 1, S. vdab044 |
Imprint: |
Oxford
Oxford University Press
2021
2021-03-10 2021-01-01 2021-01-01 |
DOI: |
10.1093/noajnl/vdab044 |
Document Type: |
Journal Article |
Research Program: |
Decoding Brain Organization and Dysfunction |
Link: |
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Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/28163 in citations.
BackgroundRadiological differentiation of tumor progression (TPR) from treatment-related changes (TRC) in pretreated glioblastoma is crucial. This study aimed to explore the diagnostic value of diffusion kurtosis MRI combined with information derived from O-(2-[18F]-fluoroethyl)-l-tyrosine (18F-FET) PET for the differentiation of TPR from TRC in patients with pretreated glioblastoma.MethodsThirty-two patients with histomolecularly defined and pretreated glioblastoma suspected of having TPR were included in this retrospective study. Twenty-one patients were included in the TPR group, and 11 patients in the TRC group, as assessed by neuropathology or clinicoradiological follow-up. Three-dimensional (3D) regions of interest were generated based on increased 18F-FET uptake using a tumor-to-brain ratio of 1.6. Furthermore, diffusion MRI kurtosis maps were obtained from the same regions of interest using co-registered 18F-FET PET images, and advanced histogram analysis of diffusion kurtosis map parameters was applied to generated 3D regions of interest. Diagnostic accuracy was analyzed by receiver operating characteristic curve analysis and combinations of PET and MRI parameters using multivariate logistic regression.ResultsParameters derived from diffusion MRI kurtosis maps show high diagnostic accuracy, up to 88%, for differentiating between TPR and TRC. Logistic regression revealed that the highest diagnostic accuracy of 94% (area under the curve, 0.97; sensitivity, 94%; specificity, 91%) was achieved by combining the maximum tumor-to-brain ratio of 18F-FET uptake and diffusion MRI kurtosis metrics.ConclusionsThe combined use of 18F-FET PET and MRI diffusion kurtosis maps appears to be a promising approach to improve the differentiation of TPR from TRC in pretreated glioblastoma and warrants further investigation. |