Evidence map›Paper›PMID 29125328›Full record

ArticleThe British journal of radiology2018

Automated customized retrieval of radiotherapy data for clinical trials, audit and research.

Marina Romanchikova, Karl Harrison, Neil G Burnet, Andrew Cf Hoole, Michael Pf Sutcliffe, Michael Andrew Parker, Rajesh Jena, Simon James Thomas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Autosegmentation of the rectum on megavoltage image guidance scans.Biomedical physics & engineering express · 2019
    Article
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

8 authors.

Marina Romanchikova1 Department of Medical Physics & Clinical Engineering, Cambridge University Hospitals , Cambridge , UK.
Karl Harrison2 Department of Physics, University of Cambridge , Cambridge , UK.
Neil G Burnet3 Department of Oncology, University of Cambridge , Cambridge , UK.
Andrew Cf Hoole1 Department of Medical Physics & Clinical Engineering, Cambridge University Hospitals , Cambridge , UK.
Michael Pf Sutcliffe4 Department of Engineering, University of Cambridge , Cambridge , UK.
Michael Andrew Parker2 Department of Physics, University of Cambridge , Cambridge , UK.
Rajesh Jena3 Department of Oncology, University of Cambridge , Cambridge , UK.
Simon James Thomas1 Department of Medical Physics & Clinical Engineering, Cambridge University Hospitals , Cambridge , UK.

Funding

Cancer Research UK 13405
6 · The paper itself

Abstract

objectiveTo enable fast and customizable automated collection of radiotherapy (RT) data from tomotherapy storage.

methodsHuman-readable data maps (TagMaps) were created to generate DICOM-RT (Digital Imaging and Communications in Medicine standard for Radiation Therapy) data from tomotherapy archives, and provided access to "hidden" information comprising delivery sinograms, positional corrections and adaptive-RT doses.

results797 data sets totalling 25,000 scans were batch-exported in 31.5 h. All archived information was restored, including the data not available via commercial software. The exported data were DICOM-compliant and compatible with major commercial tools including RayStation, Pinnacle and ProSoma. The export ran without operator interventions.

conclusionThe TagMap method for DICOM-RT data modelling produced software that was many times faster than the vendor's solution, required minimal operator input and delivered high volumes of vendor-identical DICOM data. The approach is applicable to many clinical and research data processing scenarios and can be adapted to recover DICOM-RT data from other proprietary storage types such as Elekta, Pinnacle or ProSoma. Advances in knowledge: A novel method to translate data from proprietary storage to DICOM-RT is presented. It provides access to the data hidden in electronic archives, offers a working solution to the issues of data migration and vendor lock-in and paves the way for large-scale imaging and radiomics studies.

Indexed as

Clinical Trials as TopicManagement AuditRadiotherapyAutomationHumansInformation Storage and RetrievalRadiology Information SystemsSoftware

Identifiers

PMID29125328
PMCPMC5965461

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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.