ArticleEuropean radiology2023
Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling.
Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- CT Perfusion in the differential diagnosis of glioblastomas and primary central nervous system lymphomas.Neuroradiology · 2026Article
- Spatial pattern-driven interpretable model and biological correlates in brain glioblastoma-lymphoma differentiation.iScience · 2026Article
- 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
- Exploring the value of peritumoral brain zone for classification of two malignant brain tumors based on the MRI interpretable models.BMC medical imaging · 2026Article
- Improving MRI-based differentiation of brain metastasis, glioblastoma, and primary CNS lymphoma using deep learning.Neuroradiology · 2026Article
- Diagnostic imaging and emerging image-guided neurointervention in brain tumors: a narrative review.Frontiers in radiology · 2026Review
- Multiplanar MRI approach to the differential diagnosis of central nervous system tumors and tumor-like lesions in patients with HIV: what radiologists need to know.Frontiers in medicine · 2026Review
- A nomogram for predicting the diagnosis of central malignant tumors based on preoperative clinical characteristics and laboratory indicators: a diagnostic study.International journal of surgery (London, England) · 2025Article
- Multiparametric MRI for differential diagnosis of primary central nervous system lymphoma and atypical glioblastoma: an analysis incorporating DWI, DCE-MRI, and contrast agent preload DSC-PWI.BMC medical imaging · 2025Article
- Histogram analysis based on DTI and NODDI for differentiating atypical high-grade glioma from primary central nervous system lymphoma.Frontiers in neurology · 2025Article
- Clinicopathological Parameters and Immunohistochemical Profiles in Correlation with MRI Characteristics in Glioblastomas.International journal of molecular sciences · 2024Article
- Multicenter investigation of preoperative distinction between primary central nervous system lymphomas and glioblastomas through interpretable artificial intelligence models.Neuroradiology · 2024Article
- Freiburg Neuropathology Case Conference : Headache, Mental Confusion and Mild Hemiparesis in a 68-year-old Patient.Clinical neuroradiology · 2023Article
- Microstructural differentiation of cerebral metastases, glioblastoma, meningioma, and primary CNS lymphoma using advanced diffusion imaging techniques.Neuro-oncology advancesArticle
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Abstract
objectivesTo evaluate the multiparametric diagnostic performance with non-enhancing tumor volume, apparent diffusion coefficient (ADC), and arterial spin labeling (ASL) to differentiate between atypical primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM).
methodsOne hundred and fifty-eight patients with pathologically confirmed typical PCNSL (n = 59), atypical PCNSL (hemorrhage, necrosis, or heterogeneous contrast enhancement, n = 29), and GBM (n = 70) were selected. Relative minimum ADC (rADC
resultsAtypical PCNSLs showed significantly lower rADC
conclusionThe combined evaluation of rADC KEY POINTS: • Atypical PCNSL is easily misdiagnosed as glioblastoma, which leads to unnecessary surgical resection. • The nET volume, ADC, and ASL-derived parameter (CBF) were lower for atypical PCNSL than that for glioblastoma. • The combination of multiple parameters performed well (AUC = 0.96) in the discrimination between atypical PCNSL and glioblastoma.
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