{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:37:08Z","timestamp":1779403028291,"version":"3.53.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686615","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:00:00Z","timestamp":1779321600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,5,21]]},"abstract":"<jats:p>Hepatocellular carcinoma (HCC) is steadily increasing in incidence worldwide and requires data-driven approaches to improve diagnosis, prognosis, and therapeutic decisions. We describe the harmonization of IMALIVE \u2014a real-world HCC cohort\u2014 with the common data model of the European Cancer Imaging Initiative (EUCAIM). IMALIVE integrates demographic, clinical, and imaging-related variables, which were aligned with core variables of the EUCAIM common data model through a robust mapping process and expert validation. The process achieved full coverage of the core dataset and added HCC-specific variables, including tumor staging and liver function scores. In addition, metadata from digital pathology was standardized using the international MIABIS\/BBMRI model, extending interoperability across radiology and histology. This work demonstrates the feasibility of harmonizing local cohorts enabling their integration in the data catalogue of large scale federated platforms It highlights how medical experts\u2019 contributions to this harmonization process can enrich common models with clinically relevant variables for AI development in their domain of expertise.<\/jats:p>","DOI":"10.3233\/shti260133","type":"book-chapter","created":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:56:12Z","timestamp":1779400572000},"source":"Crossref","is-referenced-by-count":0,"title":["Building an Ontology-Based Cohort of Liver Cancer Imaging Data for AI Development on the European Federated Platform EUCAIM"],"prefix":"10.3233","author":[{"given":"Aniss","family":"Guedjali","sequence":"first","affiliation":[{"name":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris-Nord, LMICS, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K\u00e9vin","family":"Mondet","sequence":"additional","affiliation":[{"name":"FHU MOSAIC , Beaujon University Hospital, Clichy, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aur\u00e9lie","family":"Beaufrere","sequence":"additional","affiliation":[{"name":"AP-HP.Nord, Department of Pathology, FHU MOSAIC , Siric InsiTu, DMU DREAM, Beaujon Hospital, Clichy, France"},{"name":"Universit\u00e9 Paris Cit\u00e9, Centre de Recherche sur l\u2019Inflammation (CRI), INSERM, U1149, 75018 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jules","family":"Gregory","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris Cit\u00e9, Centre de Recherche sur l\u2019Inflammation (CRI), INSERM, U1149, 75018 Paris, France"},{"name":"AP-HP.Nord, Department of Radiology, FHU MOSAIC , Siric InsiTu, DMU DREAM, Beaujon Hospital, Clichy, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S\u00e9bastien","family":"Mule","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Henri Mondor University hospital, AP-HP, Cr\u00e9teil, France"},{"name":"Universit\u00e9 Paris-Est Cr\u00e9teil, Institut Mondor, INSERM, U955, 94000, Cr\u00e9teil, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Val\u00e9rie","family":"Paradis","sequence":"additional","affiliation":[{"name":"AP-HP.Nord, Department of Pathology, FHU MOSAIC , Siric InsiTu, DMU DREAM, Beaujon Hospital, Clichy, France"},{"name":"Universit\u00e9 Paris Cit\u00e9, Centre de Recherche sur l\u2019Inflammation (CRI), INSERM, U1149, 75018 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laure","family":"Fournier","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris Cit\u00e9, AP-HP, H\u00f4pital Europ\u00e9en Georges Pompidou, Department of Radiology, PARCC UMRS 970, INSERM, 75015 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7938-8156","authenticated-orcid":false,"given":"Christel","family":"Daniel","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris-Nord, LMICS, Paris, France"},{"name":"Information Department, Henri Mondor University Hospital, AP-HP, Creteil, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mirna","family":"El Ghosh","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Universit\u00e9 Sorbonne Paris-Nord, LMICS, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Opening the Personal Gate between Technology and Health Care"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T21:56:13Z","timestamp":1779400573000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260133"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,21]]},"ISBN":["9781643686615"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260133","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,21]]}}}