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1000 Titel
  • Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses
1000 Autor/in
  1. Kaspar, Mathias |
  2. Liman, Leon |
  3. Ertl, Maximilian |
  4. Fette, Georg |
  5. Seidlmayer, Lea Katharina |
  6. Schreiber, Laura |
  7. Puppe, Frank |
  8. Störk, Stefan |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-04-20
1000 Erschienen in
1000 Quellenangabe
  • 33(4):1016-1025
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10278-020-00334-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522145/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Clinical Data Warehouses (DWHs) are used to provide researchers with simplified access to pseudonymized and homogenized clinical routine data from multiple primary systems. Experience with the integration of imaging and metadata from picture archiving and communication systems (PACS), however, is rare. Our goal was therefore to analyze the viability of integrating a production PACS with a research DWH to enable DWH queries combining clinical and medical imaging metadata and to enable the DWH to display and download images ad hoc. We developed an application interface that enables to query the production PACS of a large hospital from a clinical research DWH containing pseudonymized data. We evaluated the performance of bulk extracting metadata from the PACS to the DWH and the performance of retrieving images ad hoc from the PACS for display and download within the DWH. We integrated the system into the query interface of our DWH and used it successfully in four use cases. The bulk extraction of imaging metadata required a median (quartiles) time of 0.09 (0.03-2.25) to 12.52 (4.11-37.30) seconds for a median (quartiles) number of 10 (3-29) to 103 (8-693) images per patient, depending on the extraction approach. The ad hoc image retrieval from the PACS required a median (quartiles) of 2.57 (2.57-2.79) seconds per image for the download, but 5.55 (4.91-6.06) seconds to display the first and 40.77 (38.60-41.63) seconds to display all images using the pure web-based viewer. A full integration of a production PACS with a research DWH is viable and enables various use cases in research. While the extraction of basic metadata from all images can be done with reasonable effort, the extraction of all metadata seems to be more appropriate for subgroups.
1000 Sacherschließung
lokal Secondary data usage
lokal System integration
lokal Diagnostic Imaging [MeSH]
lokal Humans [MeSH]
lokal Original Paper
lokal Clinical data warehouse
lokal Data Warehousing [MeSH]
lokal Radiology Information Systems [MeSH]
lokal Medical images
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/S2FzcGFyLCBNYXRoaWFz|https://frl.publisso.de/adhoc/uri/TGltYW4sIExlb24=|https://frl.publisso.de/adhoc/uri/RXJ0bCwgTWF4aW1pbGlhbg==|https://frl.publisso.de/adhoc/uri/RmV0dGUsIEdlb3Jn|https://frl.publisso.de/adhoc/uri/U2VpZGxtYXllciwgTGVhIEthdGhhcmluYQ==|https://frl.publisso.de/adhoc/uri/U2NocmVpYmVyLCBMYXVyYQ==|https://frl.publisso.de/adhoc/uri/UHVwcGUsIEZyYW5r|https://frl.publisso.de/adhoc/uri/U3TDtnJrLCBTdGVmYW4=
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  • DeepGreen-ID: 1cb2da0aafc746e08c4603d0b2d11ca8 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-11-18T07:53:53.339+0100
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1000 Zuletzt bearbeitet 2023-12-01T12:35:19.864+0100
1000 Objekt bearb. Fri Dec 01 12:35:19 CET 2023
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