ArticleInternational journal of clinical and experimental medicine2014
Role of rCBV values derived from dynamic susceptibility contrast-enhanced magnetic resonance imaging in differentiating CNS lymphoma from high grade glioma: a meta-analysis.
Article in International journal of clinical and experimental medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Diagnostic imaging and emerging image-guided neurointervention in brain tumors: a narrative review.Frontiers in radiology · 2026Review
- Differentiation between glioblastoma and primary CNS lymphoma: application of DCE-MRI parameters based on arterial input function obtained from DSC-MRI.European radiology · 2021Article
- Presurgical Identification of Primary Central Nervous System Lymphoma with Normalized Time-Intensity Curve: A Pilot Study of a New Method to Analyze DSC-PWI.AJNR. American journal of neuroradiology · 2020Article
- Astrocytoma progression scoring system based on the WHO 2016 criteria.Scientific reports · 2019Article
- Clinical Value of Vascular Permeability Estimates Using Dynamic Susceptibility Contrast MRI: Improved Diagnostic Performance in Distinguishing Hypervascular Primary CNS Lymphoma from Glioblastoma.AJNR. American journal of neuroradiology · 2018Article
- An Eighteen Serum Cytokine Signature for Discriminating Glioma from Normal Healthy Individuals.PloS one · 2015Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeIn the preoperative period, discriminating CNS lymphoma from high grade glioma is important as treatment approaches differ significantly. Hence, this meta-analysis was to evaluate the sensitivity and specificity of the relative cerebral blood volume (rCBV) values derived from dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSCE-MRI) in differentiating CNS lymphoma from high grade glioma. MATERIALS AND
methodsThe following databases were searched from January 2000 to July 2014: Medline, PubMed and Embase. No language restrictions were applied. Data analysis was conducted using Meta-Disc 1.4.
resultsA total of 79 patients (n = 30 lymphoma, n = 49 high grade glioma) and 89 lesions (n = 40 lymphoma, n = 49 high grade glioma) were included in the rCBV analysis. The pooled sensitivity, specificity, negative likelihood ratio, positive likelihood ratio and diagnostic odds ratio for differentiating CNS lymphoma from high grade glioma were 0.90 (95% CI 0.76-0.97), 0.98 (95% CI 0.89-1.00), 0.13 (95% CI 0.06-0.29), 21.07 (95% CI 5.61-79.19), and 187.63 (95% CI 33.15-1061.86), respectively. And the value of I(2) of DOR was 0.0%, indicating that there was no statistically significant heterogeneity of DOR between the included studies.
conclusionsOur meta-analysis suggests that the rCBV values derived from DSCE-MRI could be useful in differentiating CNS lymphoma from high grade glioma in the preoperative. Further well-designed researches involving larger patient cohorts are needed to confirm this conclusion.
Indexed as
Identifiers
25664074PMC4307521What OpenQuestion holds
Registered trials
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