ArticleOncology letters2015
Peritumoral edema on magnetic resonance imaging predicts a poor clinical outcome in malignant glioma.
Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
38 citing papers in PubMed.
- Article
- Obstacles and Trials in Treating Primary Brain Tumors.International journal of molecular sciences · 2026Review
- Drawing the Line: From U-Net-Based Glioblastoma Segmentation to Machine Learning-Driven Survival Prediction.Medical sciences (Basel, Switzerland) · 2026Article
- Mechanical compression induces neuronal apoptosis, reduces synaptic activity, and promotes glial neuroinflammation in mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Prediction of Survival in Surgically Treated Glioblastoma Multiforme Utilizing DTI and Contrast-Enhanced MRI.The Indian journal of radiology & imaging · 2026Article
- Integrated MRI radiomics, tumor microenvironment, and clinical risk factors for improving survival prediction in patients with glioblastomas.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025Article
- Profiles of survival prediction in glioblastoma.Brain & spine · 2025Article
- Looking through the imaging perspective: the importance of imaging necrosis in glioma diagnosis and prognostic prediction - single centre experience.Radiology and oncology · 2024Article
- The peritumoral edema index and related mechanisms influence the prognosis of GBM patients.Frontiers in oncology · 2024Article
- Peritumoral Edema in Gliomas: A Review of Mechanisms and Management.Biomedicines · 2023Review
- Association between the expression levels of ADAMTS16 and BMP2 and tumor budding in hepatocellular carcinoma.Oncology letters · 2023Article
- The combination of radiomics features and VASARI standard to predict glioma grade.Frontiers in oncology · 2023Article
- Risk Factors Associated with Malignant Transformation of Astrocytoma: Competing Risk Regression Analysis.Asian journal of neurosurgery · 2022Article
- Up-regulation of LINC00665 contributes to the progression of glioma and correlates with its MRI characteristics.American journal of translational research · 2022Article
- Peritumor Edema Serves as an Independent Predictive Factor of Recurrence Patterns and Recurrence-Free Survival for High-Grade Glioma.Computational and mathematical methods in medicine · 2022Article
- Application of intraoperative B-mode ultrasound and shear wave elastography for glioma grading.Quantitative imaging in medicine and surgery · 2021Article
- Multiple Survival Outcome Prediction of Glioblastoma Patients Based on Multiparametric MRI.Frontiers in oncology · 2021Article
- Application of Multiparametric Intraoperative Ultrasound in Glioma Surgery.BioMed research international · 2021Review
- An Improvement of Survival Stratification in Glioblastoma Patients via Combining Subregional Radiomics Signatures.Frontiers in neuroscience · 2021Article
- IL13RA2 is overexpressed in malignant gliomas and related to clinical outcome of patients.American journal of translational research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peritumoral edema (PTE), one of the main characteristics of malignant glioma, is a significant contributor to the morbidity and mortality from glioma, however, a recent systematic review suggested that controversy remains with regard to its prognostic value. To further determine whether PTE was a potential prognostic factor on routine pre-operative magnetic resonance imaging (MRI) for malignant glioma, the association between survival and PTE was investigated in the present retrospective review of 109 patients with newly diagnosed supratentorial malignant glioma using MRI data from these routine scans. The Kaplan-Meier method was used to calculate overall survival (OS) in univariate analysis, and COX proportional hazards model was applied to evaluate the effect of pre-operative MRI features on OS in multivariate analysis. The PTE extent, edema shape, degree of necrosis, enhancement extent, pathological grade, patient age, Karnofsky performance status (KPS) and post-operative chemoradiotherapy were associated with OS in the patients with malignant glioma on univariate analysis. Multivariate analysis indicated that the extent of PTE and degree of necrosis shown by pre-operative MRI were independent predictors of OS, in addition to pathological grade, patient age, KPS and post-operative chemoradiotherapy. Moreover, patients with two unfavorable factors (major edema and severe necrosis) exhibited a poorer OS compared with the remainder. In summary, PTE and degree of necrosis, which are easily determined from routine MRI, can be useful for predicting a poor clinical outcome in patients with newly diagnosed malignant glioma.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.