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L. Hrabálek

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Open access Jul 2026

Glioblastoma in adults with prior extracranial cancer: a Czech retrospective multicentre study

Background Patients with a history of extracranial cancers (EXCA) who develop new intracranial lesions are commonly presumed to harbour brain metastases, yet primary glioblastoma (GBM) can also arise de novo in cancer survivors. The clinical course, molecular features, and treatment outcomes of GBM in this population remain incompletely characterised. Methods We retrospectively analysed adult patients with concurrent prior solid EXCA and supratentorial GBM treated at three Czech neuro-oncology centres between January 2010 and December 2022. Patients with hematologic malignancies or needle-biopsy-only diagnoses were excluded. Demographic, clinical, molecular (IDH, MGMT), surgical (RANO RESECT 2022 extent-of-resection classification), and treatment data were collected and related to progression-free survival (PFS) and overall survival (OS) using Kaplan–Meier estimation, log-rank tests, and Cox regression. Results Of 1,182 patients operated for GBM, 48 (4.0%) had a documented prior solid EXCA. Median age at EXCA diagnosis was 57.5 years (range 21–82); median age at GBM diagnosis was 65 years (range 46–82). The median interval between diagnoses was 5.7 years (range 0.1–27.3). All 48 GBMs were IDH-wildtype; MGMT promoter status was assessable in 23 cases (17 unmethylated, 6 methylated), of which 22 had follow-up data available for survival analysis. Median PFS was 8.4 months (95% CI 7.6–27.3) and median OS was 10.6 months (95% CI 5.7–16.8). MGMT methylation (mOS 29.3 vs 12.0 months; p = 0.037), higher Karnofsky score, more radical surgical resection, and completion of the Stupp protocol (mOS 19.2 vs 2.5 months for no oncotherapy; p = 0.019) were each significantly associated with longer OS. Conclusions A new brain lesion in a cancer survivor must not be assumed to be metastatic without histological confirmation. When patients with GBM after prior EXCA are eligible for standard radical surgery and Stupp-protocol oncotherapy, survival outcomes are comparable to those reported for sporadic GBM. Standard treatment protocols are appropriate for this population; a history of extracranial cancer is not in itself an adverse prognostic factor.

Ondřej Kalita, Tomas Kazda, S. Tomoszková et al. · 0 citations
Review Open access Jul 2026

Validation of open-source deep learning segmentation tools for automated glioma volumetry: a narrative review of Dice scores, workflow efficiency, and clinical RANO 2.0 implementation

Background Segmentation enables extraction of quantitative imaging features to enhance glioma diagnosis by volumetric measurements and treatment response assessment. This narrative review evaluates open-source software for glioma segmentation and alignment with Response Assessment in Neuro-Oncology (RANO 2.0) volumetric criteria. Approach In this narrative review, we evaluated thirteen open-source tools selected for multimodal MRI sequence support (T1W, T1CE, T2W, FLAIR), performance on public datasets (BraTS Challenge), and applicability to RANO 2.0 volumetry. Assessment included Dice scores, workflow efficiency, advantages, limitations, and clinical translation potential. Results Tools achieved Dice scores 0.73–0.92 for tumor subregions. Despite high analytical validation, clinical utility is limited: 85% of treatment response studies have bias risk in patient selection per QUADAS-2 appraisal. Critically, as of November 2024, no automated tools have been formally validated specifically against RANO 2.0 criteria, despite their 2023 emphasis on volumetric standardization. Conclusion Open-source segmentation tools show promise for standardizing glioma volumetry with emerging tools (GlioMODA, AutoRANO) explicitly targeting RANO 2.0-compatible volumetric assessment. Hybrid approaches combining open-source innovation with commercial clinical integration could optimize clinical translation.

M. Slachta, M. Halaj, K. Balazova et al. · 0 citations