Evidence map›Paper›PMID 42428147›Full record

ArticleFrontiers in oncology2026

MRI biomarkers of primary CNS lymphoma outcome after MATRix: real world performance.

Nitin Menon, Isabelle Naylor, Emmanuel Buba, Alberto Schena, Paul S Morgan, Christopher P Fox, Stefanie Thust

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nitin MenonNeuroradiology Department, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Isabelle NaylorSchool of Medicine, University of Nottingham, Nottingham, United Kingdom.
Emmanuel BubaNeuroradiology Department, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.
Alberto SchenaDepartment of Haematology, Nottingham University Hospital NHS Trust, Nottingham, United Kingdom.
Paul S MorganRadiological Sciences, Mental Health and Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Christopher P FoxSchool of Medicine, University of Nottingham, Nottingham, United Kingdom.
Stefanie ThustNeuroradiology Department, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite treatment advances, accurate prognostication for patients with newly diagnosed primary central nervous system lymphoma (PCNSL) remains unsatisfactory. This retrospective cohort study evaluated whether T1 contrast-enhanced (T1CE) tumour volume and apparent diffusion coefficient (ADC) metrics on magnetic resonance imaging (MRI) predict survival in PCNSL patients treated uniformly with MATRix chemotherapy. Methods: Sixty-five patients underwent pre-treatment MRI with volumetric and diffusion analysis. T1CE tumour volume, ADCmean, ADCmin and normalised diffusion parameters were assessed. Survival outcomes were analysed using univariate Cox regression for overall survival (OS) and progression-free survival (PFS), including disease-specific endpoints. Results: None of the tested imaging variables were significantly associated with OS or PFS, including T1CE tumour volume and ADC measures. Baseline T1CE and diffusion biomarkers did not predict survival in MATRix-treated PCNSL. Discussion: These results highlight limitations of standard MRI techniques for prognostication underscoring the need for integrated multiparametric models incorporating imaging and biological data to improve outcome prediction.

Indexed as

lymphoma - diagnosislymphoma prognosisPCNSL imagingPCNSL = primary central nervous system lymphomaresponse assessment

Identifiers

PMID42428147
PMCPMC13347117

What Socratic holds

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Registered trials

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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 Socratic graph.