Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses.
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 ra...
| Publicado en: | Journal of Digital Imaging Vol. 33; no. 4; pp. 1016 - 1026 |
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| Autores principales: | , , , , , , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=146122214&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 146122214 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Aug2020 vid: 33 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 146122214 144132390 146122214 146122214 10.1007/s10278-020-00334-0 146122214 ppf: 1016 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses. aug: au: Kaspar, Mathias Liman, Leon Ertl, Maximilian Fette, Georg Seidlmayer, Lea Katharina Schreiber, Laura Puppe, Frank Störk, Stefan affil: Comprehensive Heart Failure Center and Department of Internal Medicine I, Würzburg University Hospital, Würzburg, Germany sug: subj: Picture Archiving and Communication Systems Clinical Research Data Warehouse Diagnostic Imaging Systems Integration Downloading (Database) Human Data Analytics Descriptive Statistics World Wide Web Computing Methodologies ab: 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. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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