Observational studyNeuro-oncology2014
Preoperative dynamic contrast-enhanced MRI correlates with molecular markers of hypoxia and vascularity in specific areas of intratumoral microenvironment and is predictive of patient outcome.
Observational study in Neuro-oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03542409 (Assessment of Safety and Feasibility of Preoperative and Intraoperative Image-Guided Resection of Gliomas and Tumor Region-Specific Biomarker Correlation), which is not on this map. Cited by 68 papers.
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.
Assessment of Safety and Feasibility of Preoperative and Intraoperative Image-Guided Resection of Gliomas and Tumor Region-Specific Biomarker Correlation
Who cites it
68 citing papers in PubMed.
- Efficacy and safety of combining bevacizumab and fractionated stereotactic radiotherapy for extensive brain metastases in patients with non-small cell lung cancer: a prospective phase II study (GASTO-1053).Cancer communications (London, England) · 2025Trial
- DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC.Scientific reports · 2016Trial
- Role of dynamic contrast-enhanced and dynamic susceptibility contrast imaging in evaluating the biological features of glioma.Quantitative imaging in medicine and surgery · 2025Article
- Predictive molecular biomarkers of radiosensitivity in adult glioma: a narrative review.BMC cancer · 2025Review
- Magnetic resonance imaging to detect tumor hypoxia in brain malignant disease: A systematic review of validation studies.Clinical and translational radiation oncology · 2025Review
- Autophagy in brain tumors: molecular mechanisms, challenges, and therapeutic opportunities.Journal of translational medicine · 2025Review
- Multiparametric simultaneous hybridQuantitative imaging in medicine and surgery · 2024Article
- Multi-modal fusion and feature enhancement U-Net coupling with stem cell niches proximity estimation for voxel-wise GBM recurrence predictionPhysics in medicine and biology · 2024Article
- Understanding the Significance of Hypoxia-Inducible Factors (HIFs) in Glioblastoma: A Systematic Review.Cancers · 2024Review
- Review of tracer kinetic models in evaluation of gliomas using dynamic contrast-enhanced imaging.Frontiers in oncology · 2024Review
- Advances in determining the gross tumor target volume for radiotherapy of brain metastases.Frontiers in oncology · 2024Review
- Impact of hypoxia on the molecular content of glioblastoma-derived exosomes.Extracellular vesicles and circulating nucleic acids · 2024Review
- Unlocking Bevacizumab's Potential: rCBVCancers · 2023Article
- Review
- Whole-tumor histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for soft tissue sarcoma: correlation with HIF-1alpha expression.European radiology · 2023Article
- T cell exhaustion in malignant gliomas.Trends in cancer · 2023Review
- Survival rate prediction of nasopharyngeal carcinoma patients based on MRI and gene expression using a deep neural network.Cancer science · 2023Article
- Glioblastoma modeling with 3D organoids: progress and challenges.Oxford open neuroscience · 2023Review
- Soft tissue sarcoma: correlation of dynamic contrast-enhanced magnetic resonance imaging features with HIF-1α expression and patient outcomes.Quantitative imaging in medicine and surgery · 2022Article
- Exploratory Analysis of SerialCancers · 2022Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
backgroundMeasures of tumor vascularity and hypoxia have been correlated with glioma grade and outcome. Dynamic contrast-enhanced (DCE) MRI can noninvasively map tumor blood flow, vascularity, and permeability. In this prospective observational cohort pilot study, preoperative imaging was correlated with molecular markers of hypoxia, vascularity, proliferation, and progression-free and overall patient survival.
methodsPharmacokinetic modeling methods were used to generate maps of tumor blood flow, extraction fraction, permeability-surface area product, transfer constant, washout rate, interstitial volume, blood volume, capillary transit time, and capillary heterogeneity from preoperative DCE-MRI data in human glioma patients. Tissue was obtained from areas of peritumoral edema, active tumor, hypoxic penumbra, and necrotic core and evaluated for vascularity, proliferation, and expression of hypoxia-regulated molecules. DCE-MRI parameter values were correlated with hypoxia-regulated protein expression at tissue sample sites.
resultsPatient survival correlated with DCE parameters in 2 cases: capillary heterogeneity in active tumor and interstitial volume in areas of peritumoral edema. Statistically significant correlations were observed between several DCE parameters and tissue markers. In addition, MIB-1 index was predictive of overall survival (P = .044) and correlated with vascular endothelial growth factor expression in hypoxic penumbra (r = 0.7933, P = .0071) and peritumoral edema (r = 0.4546). Increased microvessel density correlated with worse patient outcome (P = .026).
conclusionsOur findings suggest that DCE-MRI may facilitate noninvasive preoperative predictions of areas of tumor with increased hypoxia and proliferation. Both imaging and hypoxia biomarkers are predictive of patient outcome. This has the potential to allow unprecedented prognostic decisions and to guide therapies to specific tumor areas.
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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.