Evidence map›Paper›PMID 28187889›Full record

ArticleComputer methods and programs in biomedicine2017

GIFT-Cloud: A data sharing and collaboration platform for medical imaging research.

Tom Doel, Dzhoshkun I Shakir, Rosalind Pratt, Michael Aertsen, James Moggridge, Erwin Bellon, Anna L David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin

Abstract read
In one paragraph

Article in Computer methods and programs in biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. CPhaMAS: The first pharmacokinetic analysis cloud platform developed by China.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  5. Article
  6. Article
  7. Assessment of longitudinal brain development using super-resolution magnetic resonance imaging following fetal surgery for open spina bifida.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2023
    Article
  8. Article
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  10. Article
  11. Article
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  13. Article
  14. Article
  15. Article
  16. Sharing Is Caring-Data Sharing Initiatives in Healthcare.International journal of environmental research and public health · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Tom DoelTranslational Imaging Group, Centre for Medical Imaging Computing, University College London, London, UK. Electronic address: t.doel@ucl.ac.uk.
Dzhoshkun I ShakirTranslational Imaging Group, Centre for Medical Imaging Computing, University College London, London, UK.
Rosalind PrattTranslational Imaging Group, Centre for Medical Imaging Computing, University College London, London, UK; Institute for Women's Health, University College London, London, UK.
Michael AertsenDepartment of Imaging & Pathology, UZ Leuven, Leuven, Belgium.
James MoggridgeDepartment of Medical Physics, UCL Hospitals, London, UK.
Erwin BellonDepartment of Imaging & Pathology, UZ Leuven, Leuven, Belgium; Department of Information Technology, UZ Leuven, Leuven, Belgium.
Anna L DavidInstitute for Women's Health, University College London, London, UK.
Jan DeprestInstitute for Women's Health, University College London, London, UK; Department of Obstetrics, UZ Leuven, Leuven, Belgium.
Tom VercauterenTranslational Imaging Group, Centre for Medical Imaging Computing, University College London, London, UK.
Sébastien OurselinTranslational Imaging Group, Centre for Medical Imaging Computing, University College London, London, UK.

Funding

Medical Research Council MR/J01107X/1
6 · The paper itself

Abstract

objectivesClinical imaging data are essential for developing research software for computer-aided diagnosis, treatment planning and image-guided surgery, yet existing systems are poorly suited for data sharing between healthcare and academia: research systems rarely provide an integrated approach for data exchange with clinicians; hospital systems are focused towards clinical patient care with limited access for external researchers; and safe haven environments are not well suited to algorithm development. We have established GIFT-Cloud, a data and medical image sharing platform, to meet the needs of GIFT-Surg, an international research collaboration that is developing novel imaging methods for fetal surgery. GIFT-Cloud also has general applicability to other areas of imaging research.

methodsGIFT-Cloud builds upon well-established cross-platform technologies. The Server provides secure anonymised data storage, direct web-based data access and a REST API for integrating external software. The Uploader provides automated on-site anonymisation, encryption and data upload. Gateways provide a seamless process for uploading medical data from clinical systems to the research server.

resultsGIFT-Cloud has been implemented in a multi-centre study for fetal medicine research. We present a case study of placental segmentation for pre-operative surgical planning, showing how GIFT-Cloud underpins the research and integrates with the clinical workflow.

conclusionsGIFT-Cloud simplifies the transfer of imaging data from clinical to research institutions, facilitating the development and validation of medical research software and the sharing of results back to the clinical partners. GIFT-Cloud supports collaboration between multiple healthcare and research institutions while satisfying the demands of patient confidentiality, data security and data ownership.

Indexed as

Cloud ComputingCooperative BehaviorDiagnostic ImagingInformation DisseminationComputer SecurityHospital AdministrationUniversitiesAnonymisationBiomedical researchCross-disciplinary researchData sharingDeidentificationFetal surgery

Identifiers

PMID28187889
PMCPMC5312116

What OpenQuestion holds

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LicenceCC BY
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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.