ArticleCancer imaging : the official publication of the International Cancer Imaging Society2016
Can morphological MRI differentiate between primary central nervous system lymphoma and glioblastoma?
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Classifying primary central nervous system lymphoma from glioblastoma using deep learning and radiomics based machine learning approach - a systematic review and meta-analysis.Frontiers in oncology · 2022Pooled it
- Differentiation of high-grade glioma and primary central nervous system lymphoma based on imaging heterogeneity scoring system.Neurosurgical review · 2026Trial
- 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
- Efficacy and Limitations of Flow Cytometry for the Rapid Diagnosis of Primary Central Nervous System Lymphoma.Cancers · 2025Article
- 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
- Article
- Histogram analysis based on DTI and NODDI for differentiating atypical high-grade glioma from primary central nervous system lymphoma.Frontiers in neurology · 2025Article
- Weakly supervised pathological differentiation of primary central nervous system lymphoma and glioblastoma on multi-site whole slide images.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Differentiation between multifocal CNS lymphoma and glioblastoma based on MRI criteria.Discover oncology · 2024Article
- Article
- Deep learning aided preoperative diagnosis of primary central nervous system lymphoma.iScience · 2024Article
- Differentiation of glioblastoma and primary central nervous system lymphomas using multiparametric diffusion and perfusion magnetic resonance imaging.Biomedical reports · 2023Article
- The molecular diagnostic yield of frame-based stereotactic biopsies in the age of precision neuro-oncology: a cross-sectional study.Acta neurochirurgica · 2023Article
- Atypical primary central nervous system lymphoma and glioblastoma: multiparametric differentiation based on non-enhancing volume, apparent diffusion coefficient, and arterial spin labeling.European radiology · 2023Article
- Diffuse Large B-Cell Epstein-Barr Virus-Positive Primary CNS Lymphoma in Non-AIDS Patients: High Diagnostic Accuracy of DSC Perfusion Metrics.AJNR. American journal of neuroradiology · 2022Article
- Usefulness of dual isotopeInternational journal of clinical oncology · 2022Article
- Primary CNS lymphoma in Immunocompetent patients: Appearances on Conventional and Advanced Imaging with Review of literature.Journal of radiology case reports · 2022Review
- Systemic inflammatory biomarkers in primary central nervous system lymphoma versus high-grade glioma: exploratory, comparative and correlative analysis.CNS oncology · 2022Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary central nervous system lymphoma (PCNSL) is a rare, aggressive brain neoplasm that accounts for roughly 2-6% of primary brain tumors. In contrast, glioblastoma (GBM) is the most frequent and severe glioma subtype, accounting for approximately 50% of diffuse gliomas. The aim of the present study was to evaluate morphological MRI characteristics in histologically-proven PCNSL and GBM at the time of their initial presentation.
methodsWe retrospectively evaluated standard diagnostic MRI examinations in 54 immunocompetent patients (26 female, 28 male; age 62.6 ± 11.5 years) with histologically-proven PCNSL and 54 GBM subjects (21 female, 33 male; age 59 ± 14 years).
resultsSeveral significant differences between both infiltrative brain tumors were found. PCNSL lesions enhanced homogenously in 64.8% of cases, while nonhomogeneous enhancement was observed in 98.1% of GBM cases. Necrosis was present in 88.9% of GBM lesions and only 5.6% of PCNSL lesions. PCNSL presented as multiple lesions in 51.9% cases and in 35.2% of GBM cases; however, diffuse infiltrative type of brain involvement was observed only in PCNSL (24.1%). Optic pathways were infiltrated more commonly in PCNSL than in GBM (42.6% vs. 5.6%, respectively, p <0.001). Other cranial nerves were affected in 5.6% of PCNSL, and in none of GBM. Signs of bleeding were rare in PCNSL (5.6%) and common in GBM (44.4%); p < 0.001. Both supratentorial and infratentorial localization was present only in PCNSL (27.7%). Involvement of the basal ganglia was more common in PCNSL (55.6%) than in GBM (18.5%); (p < 0.001). Cerebral cortex was affected significantly more often in GBM (83.3%) than in PCNSL (51.9%); mostly by both enhancing and non-enhancing infiltration.
conclusionRoutine morphological MRI is capable of differentiating between GBM and PCNSL lesions in many cases at time of initial presentation. A solitary infiltrative supratentorial lesion with nonhomogeneous enhancement and necrosis was typical for GBM. PCNSL presented with multiple lesions that enhanced homogenously or as diffuse infiltrative type of brain involvement, often with basal ganglia and optic pathways affection.
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