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Inform. med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The rapid growth of artificial intelligence (AI) and deep learning techniques require access to large inter-institutional cohorts of data to enable the development of robust models, e.g., targeting the identification of disease biomarkers\u00a0and quantifying disease progression and treatment\u00a0efficacy. The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) has been designed to accommodate a harmonized representation of observational healthcare data. This study proposes the Medical Imaging CDM (MI-CDM) extension, adding two new tables and two vocabularies to the OMOP CDM to address the structural and semantic requirements to support imaging research. The tables provide the capabilities of linking DICOM data sources as well as tracking the provenance of imaging features derived from those images. The implementation of the extension enables phenotype definitions using imaging features and expanding standardized computable imaging biomarkers.\u00a0This proposal offers a comprehensive and unified approach for conducting imaging research and outcome studies utilizing imaging features.<\/jats:p>","DOI":"10.1007\/s10278-024-00982-6","type":"journal-article","created":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T16:02:07Z","timestamp":1707148927000},"page":"899-908","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9932-1485","authenticated-orcid":false,"given":"Woo Yeon","family":"Park","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6338-5522","authenticated-orcid":false,"given":"Kyulee","family":"Jeon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6092-7182","authenticated-orcid":false,"given":"Teri Sippel","family":"Schmidt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9917-4486","authenticated-orcid":false,"given":"Haridimos","family":"Kondylakis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4433-9482","authenticated-orcid":false,"given":"Tarik","family":"Alkasab","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4554-5058","authenticated-orcid":false,"given":"Blake E.","family":"Dewey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5052-6399","authenticated-orcid":false,"given":"Seng Chan","family":"You","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5108-7749","authenticated-orcid":false,"given":"Paul","family":"Nagy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,5]]},"reference":[{"issue":"1","key":"982_CR1","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1038\/s41746-022-00689-4","volume":"5","author":"LR Soenksen","year":"2022","unstructured":"Soenksen LR, Ma Y, Zeng C, et al. 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Non-financial interest: Dr. Seng Chan You serves as a Chief Technology Officer at PHI Digital Healthcare.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}