Evidence map›Paper›PMID 32514049›Full record

ArticleScientific reports2020

Noninvasive diffusion magnetic resonance imaging of brain tumour cell size for the early detection of therapeutic response.

Thomas A Roberts, Harpreet Hyare, Giulia Agliardi, Ben Hipwell, Angela d'Esposito, Andrada Ianus, James O Breen-Norris, Rajiv Ramasawmy, Valerie Taylor, David Atkinson and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
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

22 citing papers in PubMed, 57 citations in OpenAlex.

  1. Engineering clinical translation of OGSE diffusion MRI.Magnetic resonance in medicine · 2025
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  10. Magnetic resonance imaging to assess the brain response to fasting in glioblastoma-bearing rats as a model of cancer anorexia.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
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  18. Review
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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

18 authors at 2 institutions in 1 country.

Thomas A RobertsCentre for Advanced Biomedical Imaging, University College London, London, UK.ORCID http://orcid.org/0000-0003-0385-1057
Harpreet HyareCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Giulia AgliardiCentre for Advanced Biomedical Imaging, University College London, London, UK.
Ben HipwellCentre for Advanced Biomedical Imaging, University College London, London, UK.
Angela d'EspositoCentre for Advanced Biomedical Imaging, University College London, London, UK.
Andrada IanusCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
James O Breen-NorrisCentre for Advanced Biomedical Imaging, University College London, London, UK.
Rajiv RamasawmyCentre for Advanced Biomedical Imaging, University College London, London, UK.
Valerie TaylorCentre for Advanced Biomedical Imaging, University College London, London, UK.
David AtkinsonCentre for Medical Imaging, Division of Medicine, University College London, London, UK.ORCID http://orcid.org/0000-0003-1124-6666
Shonit PunwaniCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Mark F LythgoeCentre for Advanced Biomedical Imaging, University College London, London, UK.
Bernard SiowCentre for Advanced Biomedical Imaging, University College London, London, UK.ORCID http://orcid.org/0000-0002-8687-8783
Sebastian BrandnerDivision of Neuropathology, UCL Institute of Neurology, London, UK.ORCID http://orcid.org/0000-0002-9821-0342
Jeremy ReesNational Hospital for Neurology and Neurosurgery, London, UK.
Eleftheria PanagiotakiCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Daniel C AlexanderCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Simon Walker-SamuelCentre for Advanced Biomedical Imaging, University College London, London, UK. simon.walkersamuel@ucl.ac.uk.
University College London · GBNational Hospital for Neurology and Neurosurgery · GB

Funding

Cancer Research UK 16463Cancer Research UK 29458Medical Research Council C1519/A10331Wellcome TrustWellcome Trust WT100247MA
6 · The paper itself

Abstract

Cancer cells differ in size from those of their host tissue and are known to change in size during the processes of cell death. A noninvasive method for monitoring cell size would be highly advantageous as a potential biomarker of malignancy and early therapeutic response. This need is particularly acute in brain tumours where biopsy is a highly invasive procedure. Here, diffusion MRI data were acquired in a GL261 glioma mouse model before and during treatment with Temozolomide. The biophysical model VERDICT (Vascular Extracellular and Restricted Diffusion for Cytometry in Tumours) was applied to the MRI data to quantify multi-compartmental parameters connected to the underlying tissue microstructure, which could potentially be useful clinical biomarkers. These parameters were compared to ADC and kurtosis diffusion models, and, measures from histology and optical projection tomography. MRI data was also acquired in patients to assess the feasibility of applying VERDICT in a range of different glioma subtypes. In the GL261 gliomas, cellular changes were detected according to the VERDICT model in advance of gross tumour volume changes as well as ADC and kurtosis models. VERDICT parameters in glioblastoma patients were most consistent with the GL261 mouse model, whilst displaying additional regions of localised tissue heterogeneity. The present VERDICT model was less appropriate for modelling more diffuse astrocytomas and oligodendrogliomas, but could be tuned to improve the representation of these tumour types. Biophysical modelling of the diffusion MRI signal permits monitoring of brain tumours without invasive intervention. VERDICT responds to microstructural changes induced by chemotherapy, is feasible within clinical scan times and could provide useful biomarkers of treatment response.

Indexed as

Diffusion Magnetic Resonance ImagingAnimalsAntineoplastic Agents, AlkylatingAstrocytomaBrain NeoplasmsCell Line, TumorFemaleGliomaHumansImage Processing, Computer-AssistedMiceMice, Inbred C57BLNeoplasm GradingOligodendrogliomaTemozolomideTransplantation, HeterologousAntineoplastic Agents, AlkylatingTemozolomide

Identifiers

PMID32514049
PMCPMC7280197
OpenAlexW3033449993

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.