Evidence map›Paper›PMID 33977357›Full record

ArticleEuropean radiology experimental2021

DICOM-MIABIS integration model for biobanks: a use case of the EU PRIMAGE project.

Camilla Scapicchio, Michela Gabelloni, Sara Maria Forte, Leonor Cerdá Alberich, Lorenzo Faggioni, Rita Borgheresi, Paola Erba, Fabiola Paiar, Luis Marti-Bonmati, Emanuele Neri

Open access · goldAbstract read
In one paragraph

Article in European radiology experimental, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Camilla ScapicchioDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy. camilla.scapicchio@med.unipi.it.ORCID 0000-0001-5984-0408
Michela GabelloniDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Sara Maria ForteDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Leonor Cerdá AlberichBiomedical Imaging Research Group (GIBI230), La Fe Health Research Institute, Valencia, Spain.
Lorenzo FaggioniDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Rita BorgheresiDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Paola ErbaDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Fabiola PaiarDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Luis Marti-BonmatiMedical Imaging Department, La Fe University and Polytechnic Hospital & Biomedical Imaging Research Group (GIBI230), La Fe University and Polytechnic Hospital and Health Research Institute, Valencia, Spain.
Emanuele NeriDepartment of Translational Research on New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
University of Pisa · ITHospital Universitari i Politècnic La Fe · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PRIMAGE is a European Commission-financed project dealing with medical imaging and artificial intelligence aiming to create an imaging biobank in oncology. The project includes a task dedicated to the interoperability between imaging and standard biobanks. We aim at linking Digital imaging and Communications in Medicine (DICOM) metadata to the Minimum Information About BIobank data Sharing (MIABIS) standard of biobanking. A very first integration model based on the fusion of the two existing standards, MIABIS and DICOM, has been developed. The fundamental method was that of expanding the MIABIS core to the imaging field, adding DICOM metadata derived from CT scans of 18 paediatric patients with neuroblastoma. The model was developed with the relational database management system Structured Query Language. The integration data model has been built as an Entity Relationship Diagram, commonly used to organise data within databases. Five additional entities have been linked to the "Image Collection" subcategory in order to include the imaging metadata more specific to the particular type of data: Body Part Examined, Modality Information, Dataset Type, Image Analysis, and Registration Parameters. The model is a starting point for the expansion of MIABIS with further DICOM metadata, enabling the inclusion of imaging data in biorepositories.

Indexed as

Biological Specimen BanksMetadataArtificial IntelligenceChildDatabases, FactualHumansInformation DisseminationBiological specimen banksDatabase management systemsNeuroblastomaPicture archiving and communication systemRadiology

Identifiers

PMID33977357
PMCPMC8113005
OpenAlexW3161739057

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.