ArticleCancer biology & medicine2012
MRI manifestions correlate with survival of glioblastoma multiforme patients.
Article in Cancer biology & medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Article
- Profiles of survival prediction in glioblastoma.Brain & spine · 2025Article
- Prediction of prognosis in glioblastoma with radiomics features extracted by synthetic MRI images using cycle-consistent GAN.Physical and engineering sciences in medicine · 2024Article
- Survival Outcome Prediction in Glioblastoma: Insights from MRI Radiomics.Current oncology (Toronto, Ont.) · 2024Article
- Predictive value of MRI features on glioblastoma.European radiology · 2023Article
- Early EEG hyperexcitability is associated with decreased survival in newly diagnosed IDH-wildtype glioma.Journal of neuro-oncology · 2022Observational
- The potential of advanced MR techniques for precision radiotherapy of glioblastoma.Magma (New York, N.Y.) · 2022Review
- Impact of initial midline shift in glioblastoma on survival.Neurosurgical review · 2021Article
- Predictive value of MGMT promoter methylation on the survival of TMZ treatedCancer biology & medicine · 2021Article
- A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma.Frontiers in oncology · 2021Article
- Assessment of Pre-operative Measurements of Tumor Size by MRI Methods as Survival Predictors in Wild Type IDH Glioblastoma.Frontiers in oncology · 2020Article
- Evidence and context of use for contrast enhancement as a surrogate of disease burden and treatment response in malignant glioma.Neuro-oncology · 2018Review
- Quantification of glioblastoma mass effect by lateral ventricle displacement.Scientific reports · 2018Article
- MR Imaging Characteristics Associate with Tumor-Associated Macrophages in Glioblastoma and Provide an Improved Signature for Survival Prognostication.AJNR. American journal of neuroradiology · 2018Article
- Volumetric quantification of glioblastoma: experiences with different measurement techniques and impact on survival.Journal of neuro-oncology · 2017Review
- Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab.Neuro-oncology · 2016Article
- Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques.Neuro-oncology · 2016Article
- Assessing the Effects of Software Platforms on Volumetric Segmentation of Glioblastoma.Journal of neuroimaging in psychiatry & neurology · 2016Article
- Peritumoral edema on magnetic resonance imaging predicts a poor clinical outcome in malignant glioma.Oncology letters · 2015Article
- Evaluation of eight plasma proteins as candidate blood-based biomarkers for malignant gliomas.Cancer investigation · 2014Article
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Authors and funding
7 authors.
Funding
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Abstract
objectiveTo identify the correlation between magnetic resonance manifestation and survival of patients with glioblastoma multiforme (GBM).
methodsThe magnetic resonance imaging (MRI) images of 30 glioblastoma patients were collected. Imaging features including degrees of contrasted area, edema surrounding the tumor, and intensity in T2-weighted imaging were selected to determine their correlation with patient survival. The relationship between imaging and survival time was studied using SPSS 19.0 software. Kaplan-Meier survival analysis and log-rank test were used to compare the survival curves.
resultsPatients with ≤5% contrasted enhancement area of tumor had longer overall survival (OS) than those with >5% contrasted enhancement area of tumor. Patients without edema surrounding the tumor had longer OS than those with edema. Patients with tumor of hyperintensity and/or isointensity in T2-weighted imaging had longer OS than those with hyperintensity and/or isointensity and hypointensity.
conclusionsSome MR imaging features including degrees of contrasted area, edema surrounding the tumor, and intensity in T2-weighted imaging are correlated with the survival of patients with GBM. These features can serve as prognostic indicators for GBM patients.
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