Evidence map›Paper›PMID 31944147›Full record

ArticleThe British journal of radiology2020

Semi-automated construction of patient individualised clinical target volumes for radiotherapy treatment of glioblastoma utilising diffusion tensor decomposition maps.

Roushanak Rahmat, Frederic Brochu, Chao Li, Rohitashwa Sinha, Stephen John Price, Raj Jena

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2020. 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
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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  5. Review
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

6 authors at 2 institutions in 1 country.

Roushanak RahmatDepartment of Clinical Neuroscience, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-9847-3636
Frederic BrochuOncology Centre, Addenbrooke's Hospital, Cambridge, UK.
Chao LiDepartment of Clinical Neuroscience, University of Cambridge, Cambridge, UK.
Rohitashwa SinhaDepartment of Clinical Neuroscience, University of Cambridge, Cambridge, UK.
Stephen John PriceDepartment of Clinical Neuroscience, University of Cambridge, Cambridge, UK.
Raj JenaOncology Centre, Addenbrooke's Hospital, Cambridge, UK.
University of Cambridge · GBAddenbrooke's Hospital · GB

Funding

Cancer Research UK 19732Department of Health NIHR/CS/009/011
6 · The paper itself

Abstract

objectivesGlioblastoma multiforme (GBM) is a highly infiltrative primary brain tumour with an aggressive clinical course. Diffusion tensor imaging (DT-MRI or DTI) is a recently developed technique capable of visualising subclinical tumour spread into adjacent brain tissue. Tensor decomposition through

methodsChan-Vese level set model is applied to segment the

resultsThe expansion of tumour boundary from

conclusionAutomated segmentation of the tumour infiltration boundary using DTI and tensor decomposition is possible using Chan-Vese level set methods to expand ADVANCES IN KNOWLEDGE: This novel automated technique to generate

Indexed as

AdultAgedBrain MappingBrain NeoplasmsDiffusion Tensor ImagingFemaleGlioblastomaHumansMaleMiddle Aged

Identifiers

PMID31944147
PMCPMC7362908
OpenAlexW3000544515

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.