FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation?
Abstract Purpose The value of O-(2-[18F]fluoroethyl)-L-tyrosine (FET)-positron emission tomography (PET)-radiomics in the outcome assessment of patients with recurrent glioblastoma (rGBM) has not been evaluated until now. The aim of this study was to evaluate whether a prognostic model based on FET-...
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doaj-d67f47a91a9d42628a36f9a97d0b17ed2021-03-11T12:55:34ZengBMCRadiation Oncology1748-717X2021-03-0116111010.1186/s13014-020-01744-8FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation?Montserrat Carles0Ilinca Popp1Michael Maximilian Starke2Michael Mix3Horst Urbach4Tanja Schimek-Jasch5Franziska Eckert6Maximilian Niyazi7Dimos Baltas8Anca L. Grosu9Division of Medical Physics, Department of Radiation Oncology, Medical Center, University of FreiburgGerman Cancer Consortium (DKTK), German Cancer Research Center (DKFZ)Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of FreiburgGerman Cancer Consortium (DKTK), German Cancer Research Center (DKFZ)Department of Neuroradiology, Medical Center, Faculty of Medicine, University of FreiburgDepartment of Radiation Oncology, Medical Center, Faculty of Medicine, University of FreiburgDepartment of Radiation Oncology, University Hospital TübingenDepartment of Radiation Oncology, University Hospital, LMU MunichDivision of Medical Physics, Department of Radiation Oncology, Medical Center, University of FreiburgGerman Cancer Consortium (DKTK), German Cancer Research Center (DKFZ)Abstract Purpose The value of O-(2-[18F]fluoroethyl)-L-tyrosine (FET)-positron emission tomography (PET)-radiomics in the outcome assessment of patients with recurrent glioblastoma (rGBM) has not been evaluated until now. The aim of this study was to evaluate whether a prognostic model based on FET-PET radiomics features (RF) is feasible and can identify rGBM patients that would most benefit from re-irradiation. Methods We prospectively recruited rGBM patients who underwent FET-PET before re-irradiation (GLIAA-Pilot trial, DRKS00000633). Tumor volume was delineated using a semi-automatic method with a threshold of 1.8 times the standardized-uptake-value of the background. 135 FET-RF (histogram parameters, shape and texture features) were extracted. The analysis involved the characterization of tumor and non-tumor tissue with FET-RF and the evaluation of the prognostic value of FET-RF for time-to-progression (TTP), overall survival (OS) and recurrence location (RL). Results Thirty-two rGBM patients constituted our cohort. FET-RF discriminated significantly between tumor and non-tumor. The texture feature Small-Zone-Low-Gray-Level-Emphasis (SZLGE) showed the best performance for the prediction of TTP (p = 0.001, satisfying Bonferroni-multiple-test significance level). Additionally, two radiomics signatures could predict TTP (TTP-radiomics-signature, p = 0.001) and OS (OS-radiomics-signature, p = 0.038). SZLGE and the TTP-radiomics-signature additionally predicted RL. Specifically, high values for TTP-radiomics-signature and for SZLGE indicated not only earlier progression, but also a RL within the initial FET-PET active volume. Conclusion Our findings suggest that FET-PET radiomics could contribute to the prognostic assessment and selection of rGBM-patients benefiting from re-irradiation. Trial registration DRKS00000633. Registered on 8th of December in 2010. https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00000633 .https://doi.org/10.1186/s13014-020-01744-8Recurrent-glioblastomaFET-PETRadiomicsRe-irradiation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Montserrat Carles Ilinca Popp Michael Maximilian Starke Michael Mix Horst Urbach Tanja Schimek-Jasch Franziska Eckert Maximilian Niyazi Dimos Baltas Anca L. Grosu |
spellingShingle |
Montserrat Carles Ilinca Popp Michael Maximilian Starke Michael Mix Horst Urbach Tanja Schimek-Jasch Franziska Eckert Maximilian Niyazi Dimos Baltas Anca L. Grosu FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation? Radiation Oncology Recurrent-glioblastoma FET-PET Radiomics Re-irradiation |
author_facet |
Montserrat Carles Ilinca Popp Michael Maximilian Starke Michael Mix Horst Urbach Tanja Schimek-Jasch Franziska Eckert Maximilian Niyazi Dimos Baltas Anca L. Grosu |
author_sort |
Montserrat Carles |
title |
FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation? |
title_short |
FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation? |
title_full |
FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation? |
title_fullStr |
FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation? |
title_full_unstemmed |
FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation? |
title_sort |
fet-pet radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation? |
publisher |
BMC |
series |
Radiation Oncology |
issn |
1748-717X |
publishDate |
2021-03-01 |
description |
Abstract Purpose The value of O-(2-[18F]fluoroethyl)-L-tyrosine (FET)-positron emission tomography (PET)-radiomics in the outcome assessment of patients with recurrent glioblastoma (rGBM) has not been evaluated until now. The aim of this study was to evaluate whether a prognostic model based on FET-PET radiomics features (RF) is feasible and can identify rGBM patients that would most benefit from re-irradiation. Methods We prospectively recruited rGBM patients who underwent FET-PET before re-irradiation (GLIAA-Pilot trial, DRKS00000633). Tumor volume was delineated using a semi-automatic method with a threshold of 1.8 times the standardized-uptake-value of the background. 135 FET-RF (histogram parameters, shape and texture features) were extracted. The analysis involved the characterization of tumor and non-tumor tissue with FET-RF and the evaluation of the prognostic value of FET-RF for time-to-progression (TTP), overall survival (OS) and recurrence location (RL). Results Thirty-two rGBM patients constituted our cohort. FET-RF discriminated significantly between tumor and non-tumor. The texture feature Small-Zone-Low-Gray-Level-Emphasis (SZLGE) showed the best performance for the prediction of TTP (p = 0.001, satisfying Bonferroni-multiple-test significance level). Additionally, two radiomics signatures could predict TTP (TTP-radiomics-signature, p = 0.001) and OS (OS-radiomics-signature, p = 0.038). SZLGE and the TTP-radiomics-signature additionally predicted RL. Specifically, high values for TTP-radiomics-signature and for SZLGE indicated not only earlier progression, but also a RL within the initial FET-PET active volume. Conclusion Our findings suggest that FET-PET radiomics could contribute to the prognostic assessment and selection of rGBM-patients benefiting from re-irradiation. Trial registration DRKS00000633. Registered on 8th of December in 2010. https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00000633 . |
topic |
Recurrent-glioblastoma FET-PET Radiomics Re-irradiation |
url |
https://doi.org/10.1186/s13014-020-01744-8 |
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