SynthesisPloS one2017
The performance of MR perfusion-weighted imaging for the differentiation of high-grade glioma from primary central nervous system lymphoma: A systematic review and meta-analysis.
Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
27 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Diagnostic Accuracy of the Diffusion-Weighted Imaging Method Used in Association With the Apparent Diffusion Coefficient for Differentiating Between Primary Central Nervous System Lymphoma and High-Grade Glioma: Systematic Review and Meta-Analysis.Frontiers in neurology · 2022Pooled it
- Diagnostic accuracy of dynamic contrast-enhanced perfusion MRI in stratifying gliomas: A systematic review and meta-analysis.Cancer medicine · 2019Pooled it
- Diagnostic performance of DWI for differentiating primary central nervous system lymphoma from glioblastoma: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Pooled it
- Clinical utility of arterial spin labeling for preoperative grading of glioma.Bioscience reports · 2018Pooled it
- Imaging in Neuro-oncology.Seminars in neurology · 2025Review
- Does arterial spin labelling represent a valid alternative to other MR perfusion techniques in neuro-oncology?La Radiologia medica · 2025Review
- Comparison of Dynamic Susceptibility Contrast and Arterial Spin Labeling MRI Perfusion in the Assessment of Stroke and Steno-Occlusive Disease: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2025Review
- Predictors for the Differentiation between Glioblastoma, Primary Central Nervous System Lymphoma, and Metastasis in Patients with a Solitary Enhancing Intracranial Mass.Asian journal of neurosurgery · 2024Article
- Primary central nervous system lymphoma of the third ventricle with intra-tumoral hemorrhage: A case report and literature review.Oncology letters · 2023Article
- Progress of radiological‑pathological workflows in the differential diagnosis between primary central nervous system lymphoma and high‑grade glioma (Review).Oncology reports · 2023Article
- Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.Japanese journal of radiology · 2022Review
- Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading.Cancers · 2022Review
- Differentiation of primary central nervous system lymphoma from glioblastoma using optical coherence tomography based on attention ResNet.Neurophotonics · 2022Article
- Differentiation between glioblastoma and primary CNS lymphoma: application of DCE-MRI parameters based on arterial input function obtained from DSC-MRI.European radiology · 2021Article
- MRI biomarkers in neuro-oncology.Nature reviews. Neurology · 2021Review
- Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks.Scientific reports · 2021Article
- Positron emission tomography and magnetic resonance imaging in primary central nervous system lymphoma-a narrative review.Annals of lymphoma · 2021Article
- Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation.Scientific reports · 2020Article
- Classification of Primary Cerebral Lymphoma and Glioblastoma Featuring Dynamic Susceptibility Contrast and Apparent Diffusion Coefficient.Brain sciences · 2020Article
- 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
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is always a great challenge to distinguish high-grade glioma (HGG) from primary central nervous system lymphoma (PCNSL). We conducted a meta-analysis to assess the performance of MR perfusion-weighted imaging (PWI) in differentiating HGG from PCNSL. The heterogeneity and threshold effect were evaluated, and the sensitivity (SEN), specificity (SPE) and areas under summary receiver operating characteristic curve (SROC) were calculated. Fourteen studies with a total of 598 participants were included in this meta-analysis. The results indicated that PWI had a high level of accuracy (area under the curve (AUC) = 0.9415) for differentiating HGG from PCNSL by using the best parameter from each study. The dynamic susceptibility-contrast (DSC) technique might be an optimal index for distinguishing HGGs from PCNSLs (AUC = 0.9812). Furthermore, the DSC had the best sensitivity 0.963 (95%CI: 0.924, 0.986), whereas the arterial spin-labeling (ASL) displayed the best specificity 0.896 (95% CI: 0.781, 0.963) among those techniques. However, the variability of the optimal thresholds from the included studies suggests that further evaluation and standardization are needed before the techniques can be extensively clinically used.
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