ArticleNeuroradiology2022
Role of intra-tumoral vasculature imaging features on susceptibility weighted imaging in differentiating primary central nervous system lymphoma from glioblastoma: a multiparametric comparison with pathological validation.
Article in Neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Prediction of relapsed/refractory primary central nervous system lymphoma using pre-chemotherapy ITSS grade on SWI and pre-/post-chemotherapy ADC parameters on DWI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Equity and Generalizability of Radiomics in Orbital Disease: Challenges for Ophthalmology, Otolaryngology, and Plastic Surgery.Diagnostics (Basel, Switzerland) · 2026Review
- Susceptibility- and T2*-weighted MRI features of CNS large B-cell lymphoma in a large single-center cohort: prevalence, patterns, and clinical associations.Journal of neuro-oncology · 2025Article
- Article
- Distinctive magnetic resonance imaging features in primary central nervous system lymphoma: A case report.World journal of radiology · 2023Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePrimary objective of this study was to retrospectively evaluate the potential of a range of qualitative and quantitative multiparametric features assessed on T
methodsThe study included MRI-data of histopathologically confirmed ninety-five GB and PCNSL patients scanned at 3.0 T MRI. A total of six qualitative features (three from T
resultsThree qualitative SWI features and four quantitative DCE-MRI features (rCBVcorr, K
conclusionsThe combination of three qualitative SWI features using LR provided the highest accuracy in differentiating PCNSL and GB. Thin-linear-uninterrupted-intra-tumoral-vasculature in PCNSL and broken-intra-tumoral-microvasculature with hemorrhage in GB are the major contributors to the differentiation.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.