Evidence map›Paper›PMID 34575653›Full record

ArticleJournal of personalized medicine2021

Filtration-Histogram Based Magnetic Resonance Texture Analysis (MRTA) for the Distinction of Primary Central Nervous System Lymphoma and Glioblastoma.

Claire L MacIver, Ayisha Al Busaidi, Balaji Ganeshan, John A Maynard, Stephen Wastling, Harpreet Hyare, Sebastian Brandner, Julia E Markus, Martin A Lewis, Ashley M Groves and 2 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

12 authors.

Claire L MacIverNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London WC1N 3BG, UK.
Ayisha Al BusaidiLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK.
Balaji GaneshanInstitute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK.ORCID 0000-0002-1386-0531
John A MaynardNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London WC1N 3BG, UK.ORCID 0000-0002-4089-7575
Stephen WastlingNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London WC1N 3BG, UK.
Harpreet HyareImaging Department, University College London Hospitals NHS Foundation Trust, London NW1 3BG, UK.
Sebastian BrandnerDepartment of Neurodegenerative Disease, UCL Institute of Neurology and Division of Neuropathology, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK.
Julia E MarkusImaging Department, University College London Hospitals NHS Foundation Trust, London NW1 3BG, UK.
Martin A LewisNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London WC1N 3BG, UK.
Ashley M GrovesInstitute of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK.
Kate CwynarskiHaematology and Oncology Department, University College London Hospitals NHS Foundation Trust, London NW1 3BG, UK.
Stefanie C ThustNeuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London WC1N 3BG, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary central nervous system lymphoma (PCNSL) has variable imaging appearances, which overlap with those of glioblastoma (GBM), thereby necessitating invasive tissue diagnosis. We aimed to investigate whether a rapid filtration histogram analysis of clinical MRI data supports the distinction of PCNSL from GBM. Ninety tumours (PCNSL

Indexed as

braincomputer-assistedglioblastomalymphomamagnetic resonance imaging

Identifiers

PMID34575653
PMCPMC8472730

What OpenQuestion 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 OpenQuestion graph.