Evidence map›Paper›PMID 40939950›Full record

ArticleJournal of biomedical informatics2025

Secondary use of radiological imaging data: Vanderbilt's ImageVU approach.

David S Smith, Karthik Ramadass, Laura Jones, Jennifer Morse, Daniel Fabbri, Joseph R Coco, Shunxing Bao, Melissa Basford, Peter J Embi, Reed A Omary and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical informatics, 2025. 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. Genetic analysis of imaging-derived phenotypes.Nature reviews. Genetics · 2026
    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

13 authors.

David S SmithVanderbit University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Karthik RamadassDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA. Electronic address: karthik.ramadass@vanderbilt.edu.
Laura JonesVanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA.
Jennifer MorseVanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA.
Daniel FabbriDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Joseph R CocoDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Shunxing BaoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA. Electronic address: shunxing.bao@vanderbilt.edu.
Melissa BasfordVanderbilt Institute for Clinical and Translational Research (VICTR), Vanderbilt University Medical Center, Nashville, TN, USA.
Peter J EmbiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Reed A OmaryDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Greenwell Project, Nashville, TN, USA.
John C GoreVanderbit University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Jill M PulleyDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Bennett A LandmanVanderbit University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Vanderbilt University Biomolecular Multimodal Imaging Center for 3-Dimensional Mapping of the Human KidneyU54DK134302 · NIDDK · VANDERBILT UNIVERSITY · PI SPRAGGINS, JEFFREY M · 2022 to 2025
$7.1M
Pancreas Organ Specific ProjectU54EY032442 · NEI · VANDERBILT UNIVERSITY · PI CAPRIOLI, RICHARD M · 2020 to 2024
$5.7M
NCATS NIH HHS UL1 TR002243NEI NIH HHS U54 EY032442NIA NIH HHS U24 AG074855NICHD NIH HHS P50 HD103537NIDDK NIH HHS U54 DK134302NSF 2040462NSF 2321684NSF CAREER 1452485
6 · The paper itself

Abstract

objectiveTo develop ImageVU, a scalable research imaging infrastructure that integrates clinical imaging data with metadata-driven cohort discovery, enabling secure, efficient, and regulatory-compliant access to imaging for secondary and opportunistic research use. This manuscript presents a detailed description of ImageVU's key components and lessons learned to assist other institutions in developing similar research imaging services and infrastructure.

methodsImageVU was designed to support the secondary use of radiological imaging data through a dedicated research imaging store. The system comprises four interconnected components: a Research PACS, an Ad Hoc Backfill Host, Cloud Storage System, and a De-Identification System. Imaging metadata are extracted and stored in the Research Derivative (RD), an identified clinical data repository, and the Synthetic Derivative (SD), a de-identified research data repository, with access facilitated through the RD Discover web portal. Researchers interact with the system via structured metadata queries and multiple data delivery options, including web-based viewing, bulk downloads, and dataset preparation for high-performance computing environments.

resultsThe integration of metadata-driven search capabilities has streamlined cohort discovery and improved imaging data accessibility. As of December 2024, ImageVU has processed 12.9 million MRI and CT series from 1.36 million studies across 453,403 patients. The system has supported 75 project requests, delivering over 50 TB of imaging data to 55 investigators, leading to 66 published research papers.

conclusionImageVU demonstrates a scalable and efficient approach for integrating clinical imaging into research workflows. By combining institutional data infrastructure with cloud-based storage and metadata-driven cohort identification, the platform enables secure and compliant access to imaging for translational research.

Indexed as

Diagnostic ImagingRadiology Information SystemsCloud ComputingDatabases, FactualHumansInformation Storage and RetrievalMetadataBiomedical imaging informaticsDe-identificationDICOMProtected health informationRadiomicsResearch data warehouseResearch imaging infrastructureSecondary use of radiological dataTranslational research

Identifiers

PMID40939950
PMCPMC13275161

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.