ReviewJournal of neuro-oncology2017
Volumetric quantification of glioblastoma: experiences with different measurement techniques and impact on survival.
Review in Journal of neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Timing of Planning Magnetic Resonance Imaging and Patient Selection for Adaptive Radiation Therapy in Newly Diagnosed High-Grade Glioma.International journal of radiation oncology, biology, physics · 2025Pooled it
- Surgical management of Glioma Grade 4: technical update from the neuro-oncology section of the Italian Society of Neurosurgery (SINch®): a systematic review.Journal of neuro-oncology · 2023Pooled it
- Congress of neurological surgeons systematic review and evidence-based guidelines update on the role of emerging developments in the management of newly diagnosed glioblastoma.Journal of neuro-oncology · 2020Pooled it
- Radiologic 3D tumor volume predicts cervical metastasis in oral squamous cell carcinoma.Clinical oral investigations · 2026Article
- Drawing the Line: From U-Net-Based Glioblastoma Segmentation to Machine Learning-Driven Survival Prediction.Medical sciences (Basel, Switzerland) · 2026Article
- Prediction of Survival in Surgically Treated Glioblastoma Multiforme Utilizing DTI and Contrast-Enhanced MRI.The Indian journal of radiology & imaging · 2026Article
- Clinical, radiological, and molecular insights into extracranial metastases from adult gliomas.Neuro-oncology · 2026Article
- Preoperative Brain Mapping Predicts Language Outcomes After Eloquent Tumor Resection.Human brain mapping · 2025Article
- Profiles of survival prediction in glioblastoma.Brain & spine · 2025Article
- Role of Virtual iMRI in Glioblastoma Surgery: Advantages, Limitations, and Correlation with iCT and Brain Shift.Brain sciences · 2024Article
- Extent of Resection for Supratentorial Gliomas Using the B-mode Ultrasound as an Intraoperative Aid.Cureus · 2024Article
- Cluster-based prognostication in glioblastoma: Unveiling heterogeneity based on diffusion and perfusion similarities.Neuro-oncology · 2024Article
- Article
- The peritumoral edema index and related mechanisms influence the prognosis of GBM patients.Frontiers in oncology · 2024Article
- Association of MRI Volume Parameters in Predicting Patient Outcome at Time of Initial Diagnosis of Glioblastoma.Brain sciences · 2023Article
- Conventional and Advanced Magnetic Resonance Imaging Assessment of Non-Enhancing Peritumoral Area in Brain Tumor.Cancers · 2023Review
- Evaluating automated longitudinal tumor measurements for glioblastoma response assessment.Frontiers in radiology · 2023Article
- Early EEG hyperexcitability is associated with decreased survival in newly diagnosed IDH-wildtype glioma.Journal of neuro-oncology · 2022Observational
- Review
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The potential impact of different radiological features of glioblastoma multiforme (GBM) on overall survival (OS) like tumor volume, peritumoral edema (PTE), necrosis volume, necrosis-tumor ratio (NTR) and edema-tumor ratio (ETR) is still very controversial. To determine the influence of volumetric data on OS und to compare different measuring techniques described in literature. We prospectively evaluated preoperative MR images from 30 patients harboring a primary supratentorial GBM. All patients received gross-total tumor resection followed by standard radiation and chemotherapy (temozolomide). By 3D semi-automated segmentation, we measured tumor volume, necrosis volume, PTE, postoperative residual tumor volume and calculated ETR, NTR and the extent of resection. After critical review of the existing literature we compared alternative measuring techniques with the gold standard of 3D segmentation. Statistical analysis showed a significant impact of the preoperative tumor and necrosis volumes on OS (p = 0.041, respectively p = 0.039). Furthermore, NTR also showed a significant association with OS (p = 0.005). Comparison of previously described measuring techniques and scorings with our results showed that no other technique is reliable and accurate enough as a predictive tool. The critical review of previously published studies revealed mainly inaccurate measurement techniques and patient selection as potential reasons for inconsistent results. Preoperatively measured necrosis volume and NTR are the most important radiological features of GBM with a strong influence on OS. No other measuring techniques are specific enough and comparable with 3D segmentation.
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