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Background: Primary central nervous system lymphomas (PCNSL) pose a challenge as they may mimic gliomas on magnetic resonance imaging (MRI) imaging, compelling precise differentiation for appropriate treatment. This study focuses on developing an automated MRI-based workflow to distinguish between PCNSL and gliomas., Methods: MRI examinations of 240 therapy-naive patients (141 males and 99 females, mean age: 55.16 years) with cerebral gliomas and PCNSLs (216 gliomas and 24 PCNSLs), each comprising a non-contrast T1-weighted, fluid-attenuated inversion recovery (FLAIR), and contrast-enhanced T1-weighted sequence were included in the study. HD-GLIO, a pre-trained segmentation network, was used to generate segmentations automatically. To validate the segmentation efficiency, 237 manual segmentations were prepared (213 gliomas and 24 PCNSLs). Subsequently, radiomics features were extracted following feature selection and training of an XGBoost algorithm for classification., Results: The segmentation models for gliomas and PCNSLs achieved a mean Sørensen-Dice coefficient of 0.82 and 0.80 for whole tumors, respectively. Three classification models were developed in this study to differentiate gliomas from PCNSLs. The first model differentiated PCNSLs from gliomas, with an area under the curve (AUC) of 0.99 (F1-score: 0.75). The second model discriminated between high-grade gliomas and PCNSLs with an AUC of 0.91 (F1-score: 0.6), and the third model differentiated between low-grade gliomas and PCNSLs with an AUC of 0.95 (F1-score: 0.89)., Conclusions: This study serves as a pilot investigation presenting an automated virtual biopsy workflow that distinguishes PCNSLs from cerebral gliomas. Prior to clinical use, it is necessary to validate the results in a prospective multicenter setting with a larger number of PCNSL patients., Competing Interests: The authors declare that there is no conflict of interest to disclose., (© The Author(s) 2024. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

Background: Standard of care treatment options at glioblastoma relapse are still not well defined. Few studies indicate that the combination of trofosfamide plus etoposide may be feasible in pediatric glioblastoma patients. In this retrospective analysis, we determined tolerability and feasibility of combined trofosfamide plus etoposide treatment at disease recurrence of adult glioblastoma patients., Methods: We collected clinicopathological data from adult progressive glioblastoma patients treated with the combination of trofosfamide and etoposide for more than four weeks (one course). A cohort of patients receiving empiric treatment at the investigators' discretion balanced for tumor entity and canonical prognostic factors served as control., Results: A total of n = 22 progressive glioblastoma patients were eligible for this analysis. Median progression-free survival (3.1 vs 2.3 months, HR: 1.961, 95% CI: 0.9724-3.9560, P = .0274) and median overall survival (9.0 vs 5.7 months, HR: 4.687, 95% CI: 2.034-10.800, P = .0003) were significantly prolonged compared to the control cohort ( n = 17). In a multivariable Cox regression analysis, treatment with trofosfamide plus etoposide emerged as a significant prognostic marker regarding progression-free and overall survival. We observed high-grade adverse events in n = 16/22 (73%) patients with hematotoxicity comprising the majority of adverse events ( n = 15/16, 94%). Lymphopenia was by far the most commonly observed hematotoxic adverse event ( n = 11/15, 73%)., Conclusions: This study provides first indication that the combination of trofosfamide plus etoposide is safe in adult glioblastoma patients. The observed survival outcomes might suggest potential beneficial effects. Our data provide a reasonable rationale for follow-up of a larger cohort in a prospective trial., Competing Interests: Teresa Schmidt received honoraria and travel support from Novocure. Björn Scheffler is supported by the German Cancer Consortium (DKTK) and the DFG-CRU337. Sied Kebir received honoraria and travel support from Novocure. Martin Glas reports honoraria from Roche, Novartis, UCB, Abbvie, Daiichi Sankyo, Novocure, Bayer, Janssen-Cilag, Medac, Merck, Kyowa Kirin, travel support from Novocure and Medac, research grant from Novocure. Lazaros Lazaridis received honoraria and travel support from Novocure. All remaining authors have declared no conflicts of interest., (© The Author(s) 2023. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

Background: The randomized phase 3 CeTeG/NOA-09 trial assessed whether CCNU plus temozolomide was superior to temozolomide alone in newly diagnosed MGMT promoter methylated glioblastoma patients. Survival was significantly improved from 31.4 months (temozolomide) to 48.1 months (CCNU plus temozolomide). In view of this encouraging data, we assessed safety and efficacy of this regimen under real-life conditions., Methods: We retrospectively collected clinical and radiographic data from adult newly diagnosed MGMT promoter methylated IDH wildtype glioblastoma patients from five neuro-oncology centers in Germany. For inclusion in our analysis, treatment with CCNU and temozolomide had to be performed for at least six weeks (one course)., Results: Seventy patients were included. Median progression-free survival was 14.4 months and median overall survival 33.8 months. Patients with TTFields treatment for at least 8 weeks and CCNU plus temozolomide ( n  = 22, 31%) had a prolonged progression-free survival compared to those with TTFields treatment for less than eight weeks ( n  = 48, 69%) (21.5 versus 11.2 months; P  = .0105). In a multivariable Cox regression analysis, TTFields treatment for eight weeks or longer together with CCNU plus temozolomide and a Karnofsky performance score ≥ 90% were independent prognostic factors for progression-free and overall survival. Pseudoprogression occurred in n  = 16 (33%) of investigated n  = 49 (70%) patients. In n  = 31 (44%) patients high-grade hematotoxicity was observed., Conclusions: The results from this multicentric trial indicate that-under real-life conditions-toxicity and survival estimates are comparable to the CeTeG/NOA-09 trial. TTFields therapy for at least eight weeks in combination with this regimen was independently associated with prolonged survival., (© The Author(s) 2022. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

Background: We evaluated the diagnostic value of static and dynamic O-(2-[(18)F]fluoroethyl)-L-tyrosine ((18)F-FET) PET parameters in patients with progressive or recurrent glioma., Methods: We retrospectively analyzed 132 dynamic (18)F-FET PET and conventional MRI scans of 124 glioma patients (primary World Health Organization grade II, n = 55; grade III, n = 19; grade IV, n = 50; mean age, 52 ± 14 y). Patients had been referred for PET assessment with clinical signs and/or MRI findings suggestive of tumor progression or recurrence based on Response Assessment in Neuro-Oncology criteria. Maximum and mean tumor/brain ratios of (18)F-FET uptake were determined (20-40 min post-injection) as well as tracer uptake kinetics (ie, time to peak and patterns of the time-activity curves). Diagnoses were confirmed histologically (95%) or by clinical follow-up (5%). Diagnostic accuracies of PET and MR parameters for the detection of tumor progression or recurrence were evaluated by receiver operating characteristic analyses/chi-square test., Results: Tumor progression or recurrence could be diagnosed in 121 of 132 cases (92%). MRI and (18)F-FET PET findings were concordant in 84% and discordant in 16%. Compared with the diagnostic accuracy of conventional MRI to diagnose tumor progression or recurrence (85%), a higher accuracy (93%) was achieved by (18)F-FET PET when a mean tumor/brain ratio ≥2.0 or time to peak <45 min was present (sensitivity, 93%; specificity, 100%; accuracy, 93%; positive predictive value, 100%; P < .001)., Conclusion: Static and dynamic (18)F-FET PET parameters differentiate progressive or recurrent glioma from treatment-related nonneoplastic changes with higher accuracy than conventional MRI., (© The Author(s) 2015. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)