FET-PET radiomics in recurrent glioblastoma: prognostic value for outcome after re-irradiation?

被引:30
作者
Carles, Montserrat [1 ,2 ,3 ]
Popp, Ilinca [2 ,4 ]
Starke, Michael Maximilian [4 ]
Mix, Michael [2 ,5 ]
Urbach, Horst [6 ]
Schimek-Jasch, Tanja [4 ]
Eckert, Franziska [7 ,8 ]
Niyazi, Maximilian [9 ,10 ]
Baltas, Dimos [1 ,2 ]
Grosu, Anca L. [2 ,4 ]
机构
[1] Univ Freiburg, Div Med Phys, Dept Radiat Oncol, Med Ctr, Robert Koch Str 3, D-79106 Freiburg, Germany
[2] German Canc Res Ctr, German Canc Consortium DKTK, Partner Site Freiburg, Heidelberg, Germany
[3] La Fe Hlth Res Inst, Biomed Imaging Res Grp GIBI230 PREBI, Imaging La Fe Node Distributed Network Biomed Ima, Valencia, Spain
[4] Univ Freiburg, Fac Med, Med Ctr, Dept Radiat Oncol, Freiburg, Germany
[5] Univ Freiburg, Fac Med, Med Ctr, Dept Nucl Med, Freiburg, Germany
[6] Univ Freiburg, Fac Med, Med Ctr, Dept Neuroradiol, Freiburg, Germany
[7] Univ Hosp Tubingen, Dept Radiat Oncol, Tubingen, Germany
[8] German Canc Res Ctr, German Canc Consortium DKTK, Partner Site Tubingen, Tubingen, Germany
[9] Ludwig Maximilians Univ Munchen, Univ Hosp, Dept Radiat Oncol, Munich, Germany
[10] German Canc Res Ctr, Cerman Canc Consortium DKTK, Partner Site Munich, Munich, Germany
关键词
Recurrent-glioblastoma; FET-PET; Radiomics; Re-irradiation;
D O I
10.1186/s13014-020-01744-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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. .
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页数:10
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