ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023
Differentiating primary central nervous system lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Spatial pattern-driven interpretable model and biological correlates in brain glioblastoma-lymphoma differentiation.iScience · 2026Article
- Time-dependent Diffusion MRI-based Microstructural Mapping Value for Predicting Meningioma Grade, Subtype, and Proliferative Activity.Radiology. Imaging cancer · 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
- Time-dependent diffusion-weighted imaging assessment of tumor grading and isocitrate dehydrogenase genotypes in adult-type diffuse gliomas.Japanese journal of radiology · 2026Article
- Time-dependent diffusion MRI-based microstructural mapping for giant intracranial mesenchymal tumor with FET-CREB fusion: a case description.Quantitative imaging in medicine and surgery · 2026Article
- 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
- The "purfling sign": a new imaging marker for the diagnosis of primary CNS lymphoma.La Radiologia medica · 2025Article
- Imaging Microstructural Parameters of Breast Tumor in Patient Using Time-Dependent Diffusion: A Feasibility Study.Diagnostics (Basel, Switzerland) · 2025Article
- Time-dependent MR diffusion analysis of functioning and nonfunctioning pituitary adenomas/pituitary neuroendocrine tumors.Journal of neuroimaging : official journal of the American Society of NeuroimagingArticle
Corrections and comments
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Authors and funding
21 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to elucidate the impact of effective diffusion time setting on apparent diffusion coefficient (ADC)-based differentiation between primary central nervous system lymphomas (PCNSLs) and glioblastomas (GBMs) and to investigate the usage of time-dependent diffusion magnetic resonance imaging (MRI) parameters.
methodsA retrospective study was conducted involving 21 patients with PCNSLs and 66 patients with GBMs using diffusion weighted imaging (DWI) sequences with oscillating gradient spin-echo (Δ
resultsIn enhancing regions, the mean and fifth and 95
conclusionsEffective diffusion time setting can have a crucial impact on the performance of ADC in differentiating between PCNSLs and GBMs. The time-dependent diffusion MRI parameters may be useful in the differentiation of these lesions.
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Registered trials
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