Evidence map›Paper›PMID 41704478›Full record

ArticleJBMR plus2026

ORMIR-MIDS: an open standard for curating and sharing musculoskeletal imaging data.

Francesco Santini, Maria Monzon, Simone Poncioni, Serena Bonaretti, Jukka Hirvasniemi, Martijn Froeling, Donnie Cameron

Abstract read
In one paragraph

Article in JBMR plus, 2026. 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. 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

7 authors.

Francesco SantiniBasel Muscle MRI, Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.ORCID https://orcid.org/0000-0001-6984-4816
Maria MonzonDepartment of Health Science and Technology (D-HEST), ETH Zurich, 8092 Zurich, Switzerland.
Simone PoncioniARTORG Center for Biomedical Engineering Research, University of Bern, 3010 Bern, Switzerland.ORCID https://orcid.org/0009-0006-2652-4613
Serena BonarettiIndependent Researcher, 8000 Zurich, Switzerland.ORCID https://orcid.org/0000-0003-4264-1773
Jukka HirvasniemiDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-9278-4719
Martijn FroelingPrecision Imaging Group, Center for Image Sciences, Division of Imaging and Oncology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Donnie CameronDepartment of Medical Imaging, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0001-9841-6909

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative imaging is increasingly used for both clinical and research applications in musculoskeletal (MSK) disorders. Its widespread use, coupled with an assortment of modalities and vendors, has led to a diverse range of analysis methods and challenges in reproducing results both within and across centers. Clearly, consensus is needed to establish consistent data organization principles and thus permit the use of standardized image processing pipelines. Here, we-members of the Open and Reproducible Musculoskeletal Imaging Research (ORMIR) community-introduce the ORMIR-MIDS data format, which is derived from the existing Brain and Medical Imaging Data Structures (BIDS and MIDS) and extends them to MSK applications. ORMIR-MIDS comprises both a standard specification and a set of software tools for data conversion and organization. The latter permits the conversion of image data to a standardized format, in an organized folder structure, and produces up to 3 metadata files: important data-processing information, patient data, and complete image header tags to allow conversion back to the original format. The tool currently supports a range of imaging modalities and sub-modalities relevant to the MSK system, with more to come in the future. A suite of test data is also provided to demonstrate the functionality of the software, and the file system structure and associated image files and metadata after conversion of these test data are demonstrated here. With ORMIR-MIDS, we provide an open specification for multimodal MSK imaging, alongside tools for creating compliant datasets. Adherence to our standard will improve harmonization of imaging data across vendors and institutions and permit the development of reproducible processing pipelines and data repositories for MSK research.

Indexed as

CTdata curationdigital radiographymedical image processingMRImusculoskeletal systemopen source softwarestandards

Identifiers

PMID41704478
PMCPMC12908669

What OpenQuestion holds

Textmetadata
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.