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This is particularly evident in the emerging multi-modal learning paradigms, where dataset harmonization including a uniform data representation and filtering options are of paramount importance.<\/jats:p>\n          <jats:p>\n            <jats:bold>Methods<\/jats:bold> DICOM-structured reports enable the standardized linkage of arbitrary information beyond the imaging domain and can be used within Python deep learning pipelines with . Building on this, we developed an open platform for data integration with interactive filtering capabilities, thereby simplifying the process of creation of patient cohorts over several sites with consistent multi-modal data.<\/jats:p>\n          <jats:p>\n            <jats:bold>Results<\/jats:bold> In this study, we extend our prior work by showing its applicability to more and divergent data types, as well as streamlining datasets for federated training within an established consortium of eight university hospitals in Germany. We prove its concurrent filtering ability by creating harmonized multi-modal datasets across all locations for predicting the outcome after minimally invasive heart valve replacement. The data include imaging and waveform data (i.e., computed tomography images, electrocardiography scans) as well as annotations (i.e., calcification segmentations, and pointsets), and metadata (i.e., prostheses and pacemaker dependency).<\/jats:p>\n          <jats:p>\n            <jats:bold>Conclusion<\/jats:bold> Structured reports bridge the traditional gap between imaging systems and information systems. Utilizing the inherent DICOM reference system arbitrary data types can be queried concurrently to create meaningful cohorts for multi-centric data analysis. The graphical interface as well as example structured report templates are available at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/github.com\/Cardio-AI\/fl-multi-modal-dataset-creation\" ext-link-type=\"uri\">https:\/\/github.com\/Cardio-AI\/fl-multi-modal-dataset-creation<\/jats:ext-link>.<\/jats:p>","DOI":"10.1007\/s11548-025-03327-y","type":"journal-article","created":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T11:23:05Z","timestamp":1738581785000},"page":"485-495","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Multi-modal dataset creation for federated learning with DICOM-structured reports"],"prefix":"10.1007","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0804-5794","authenticated-orcid":false,"given":"Malte","family":"T\u00f6lle","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4480-6076","authenticated-orcid":false,"given":"Lukas","family":"Burger","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5125-4516","authenticated-orcid":false,"given":"Halvar","family":"Kelm","sequence":"additional","affiliation":[]},{"given":"Florian","family":"Andr\u00e9","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7102-534X","authenticated-orcid":false,"given":"Peter","family":"Bannas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3050-5248","authenticated-orcid":false,"given":"Gerhard","family":"Diller","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7611-378X","authenticated-orcid":false,"given":"Norbert","family":"Frey","sequence":"additional","affiliation":[]},{"given":"Philipp","family":"Garthe","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4121-7161","authenticated-orcid":false,"given":"Stefan","family":"Gro\u00df","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0737-7375","authenticated-orcid":false,"given":"Anja","family":"Hennemuth","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2359-2294","authenticated-orcid":false,"given":"Lars","family":"Kaderali","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2688-9480","authenticated-orcid":false,"given":"Nina","family":"Kr\u00fcger","sequence":"additional","affiliation":[]},{"given":"Andreas","family":"Leha","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3347-4520","authenticated-orcid":false,"given":"Simon","family":"Martin","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6944-2478","authenticated-orcid":false,"given":"Alexander","family":"Meyer","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6044-950X","authenticated-orcid":false,"given":"Eike","family":"Nagel","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2836-6333","authenticated-orcid":false,"given":"Stefan","family":"Orwat","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2816-6793","authenticated-orcid":false,"given":"Clemens","family":"Scherer","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3940-9079","authenticated-orcid":false,"given":"Moritz","family":"Seiffert","sequence":"additional","affiliation":[]},{"given":"Jan Moritz","family":"Seliger","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9371-2709","authenticated-orcid":false,"given":"Stefan","family":"Simm","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5347-7441","authenticated-orcid":false,"given":"Tim","family":"Friede","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6158-5087","authenticated-orcid":false,"given":"Tim","family":"Seidler","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8816-7654","authenticated-orcid":false,"given":"Sandy","family":"Engelhardt","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,3]]},"reference":[{"issue":"6","key":"3327_CR1","doi-asserted-by":"publisher","first-page":"1719","DOI":"10.1007\/s10278-022-00683-y","volume":"35","author":"C Bridge","year":"2022","unstructured":"Bridge C, Gorman C, Pieper S, Doyle S, Lennerz J, Kalpathy-Cramer J, Clunie D, Fedorov A, Herrmann M (2022) Highdicom: a python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology. 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Norbert Frey reports speaker honoraria, presentations or advisory board consultations from AstraZeneca, Bayer AG, Boehringer Ingelheim, Novartis, Pfizer, Daiichi Sankyo Deutschland. Tim Seidler reports research, educational, or travel grants and honoraria for lectures or advisory board consultations from Abbott Vascular, AstraZeneca, BoehringerIngelheim, Bristol Myers Squibb, Corvia, Cytokinetics, Edwards Life Sciences, Medtronic, Myocardia, Novartis, Pfizer, Teleflex. Alexander Meyer reports consulting or lecturing fees from Medtronic, Bayer, Pfizer. Clemens Scherer reports speaker honorarium from AstraZeneca. None are related to the content of the manuscript. The other authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors. Ethical approval was waived by the local Ethics Committees of Heidelberg (S-475\/2021), G\u00f6ttingen (11\/6\/21), Hamburg (2021-200262-BO-bet), Munich (21-0497), M\u00fcnster (2021-487-b-S), Greifswald (BB 091\/24), and Frankfurt (2021-366_1) in view of the retrospective nature of the study and all the procedures being performed were part of the routine care. In Berlin, a multi-centric study must not explicitly be confirmed when another institutional ethics board waived approval.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was not obtained due to the retrospective nature of the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}