ArticleNeuroradiology2021
Validation of combined use of DWI and percentage signal recovery-optimized protocol of DSC-MRI in differentiation of high-grade glioma, metastasis, and lymphoma.
Article in Neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Illuminating glioma surgery: A meta-analysis of Raman spectroscopy for intraoperative decision-making.Neurosurgical review · 2025Pooled it
- Differentiation of high grade glioma and solitary brain metastases by measuring relative cerebral blood volume and fractional anisotropy: a systematic review and meta-analysis of MRI diagnostic test accuracy studies.The British journal of radiology · 2023Pooled it
- Use of 18F-FDG-PET/CT in differential diagnosis of primary central nervous system lymphoma and high-grade gliomas: A meta-analysis.Frontiers in neurology · 2022Pooled it
- Microstructure mapping with time-dependent diffusion MRI differentiates primary central nervous system lymphoma from glioblastoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Percentage signal recovery plus relative cerebral blood volume: a practical dual-parameter strategy for differentiating post-stereotactic radiosurgery tumour progression from radiation necrosis in brain metastases.Insights into imaging · 2026Article
- Normalization of the percentage of signal recovery derived from dynamic susceptibility contrast perfusion MRI in brain tumors.Neuroradiology · 2025Article
- Multisite Benchmark Study for Standardized Relative CBV in Untreated Brain Metastases Using the DSC-MRI Consensus Acquisition Protocol.AJNR. American journal of neuroradiology · 2025Article
- Detecting B-cell lymphoma-6 overexpression status in primary central nervous system lymphoma using multiparametric MRI-based machine learning.Neuroradiology · 2025Article
- "Synthetic" DSC Perfusion MRI with Adjustable Acquisition Parameters in Brain Tumors Using Dynamic Spin-and-Gradient-Echo Echoplanar Imaging.AJNR. American journal of neuroradiology · 2025Article
- DSC-PWI presurgical differentiation of grade 4 astrocytoma and glioblastoma in young adults: rCBV percentile analysis across enhancing and non-enhancing regions.Neuroradiology · 2024Article
- Differentiating IDH-mutant astrocytomas and 1p19q-codeleted oligodendrogliomas using DSC-PWI: high performance through cerebral blood volume and percentage of signal recovery percentiles.European radiology · 2024Article
- Brain Metastasis in the Emergency Department: Epidemiology, Presentation, Investigations, and Management.Cancers · 2024Review
- Simultaneous quantification of perfusion, permeability, and leakage effects in brain gliomas using dynamic spin-and-gradient-echo echoplanar imaging MRI.European radiology · 2024Article
- Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?European radiology · 2024Article
- MR dynamic-susceptibility-contrast perfusion metrics in the presurgical discrimination of adult solitary intra-axial cerebellar tumors.European radiology · 2023Article
- Improved performance of non-preloaded and high flip-angle dynamic susceptibility contrast perfusion-weighted imaging sequences in the presurgical differentiation of brain lymphoma and glioblastoma.European radiology · 2023Article
- Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Dynamic-susceptibility-contrast perfusion-weighted-imaging (DSC-PWI) in brain tumors: a brief up-to-date overview for clinical neuroradiologists.European radiology · 2023Article
- Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Classification of brain lesions using a machine learning approach with cross-sectional ADC value dynamics.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWith conventional MRI, it is often difficult to effectively differentiate between contrast-enhancing brain tumors, including primary central nervous system lymphoma (PCNSL), high-grade glioma (HGG), and metastasis. This study aimed to assess the discrimination ability of the parameters obtained from DWI and the percentage signal recovery- (PSR-) optimized protocol of DSC-MRI between these three tumor types at an initial step.
methodsDSC-MRI using a PSR-optimized protocol (TR/TE = 1500/30 ms, flip angle = 90°, no preload) and DWI of 99 solitary enhancing tumors (60 HGGs, 24 metastases, 15 PCNSLs) were retrospectively assessed before treatment. rCBV, PSR, ADC in the tumor core and rCBV, and ADC in peritumoral edema were measured. The differences were evaluated using one-way ANOVA, and the diagnostic performance was evaluated using ROC curve analysis.
resultsPSR in the tumor core showed the best discriminating performance in differentiating these three tumor types with AUC values of 0.979 for PCNSL vs. others and 0.947 for HGG vs. metastasis. The ADC was only helpful in the tumor core and distinguishing PCNSLs from others (AUC = 0.897).
conclusionDifferent from CBV-optimized protocols (preload, intermediate FA), PSR derived from the PSR-optimized protocol seems to be the most important parameter in the differentiation of HGGs, metastases, and PCNSLs at initial diagnosis. This property makes PSR remarkable and carries the need for comprehensive DSC-MRI protocols, which provides PSR sensitivity and CBV accuracy together, such as the preload use of the PSR-optimized protocol before the CBV-optimized protocol.
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