Abstract
The Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM) used in distributed research networks has low coverage of clinical data and does not reflect the latest trends of precision medicine. Radiology data have great merits to visualize and identify the lesions in specific diseases. However, radiology data should be shared to obtain the sufficient scale and diversity required to provide strong evidence for improving patient care. Our study was to develop a web-based management system for radiology-CDM (R-CDM), as an extension of the OMOP-CDM, and to assess the feasibility of an R-CDM dataset for application of radiological image data in AI learning. This study standardized a cirrhosis of liver (LC) R-CDM dataset consisting of CT data (LC 40,575 images vs. non-LC 33,565 images). With use of modified AI learning algorithm, the diagnostic accuracy was 0.99292 (error rate = 0.00708), and its sensitivity was 0.99469 for LC and specificity was 0.99115 for non-LC. We developed a web-based management system for searching and downloading standardized R-CDM dataset and constructed a liver cirrhosis R-CDM dataset for clinical practice. Our management system and LC dataset would be helpful for multicenter study and AI learning research.
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References
OHDSI Forum. https://forums.ohdsi.org/t/oncology-radiology-imaging-integration-into-cdm/2018/7
OHDSI/Radiology-CDM. https://github.com/OHDSI/Radiology-CDM
Hripcsak, G., Duke, J.D., Shah, N.H., Reich, C.G., Huser, V., Schuemie, M.J., Suchard, M.A., Park, RW., Wong, ICK., Rijnbeek, P.R., Lei, J., Pratt, N., Norén, G.N., Li, Y-C., Stang, P.E., Madigan, D., Ryan, P.B.: Observational Health Data Sciences and Informatics (OHDSI): opportunities for observational researchers. Stud. Health Technol. Inform. 216, 574–578 (2015)
FitzHenry, F., Resnic, F.S., Robbins, S.L., Denton, J., Nookala, L., Meeker, D., Ohno-Machado, L., Matheny, M.E.: Creating a common data model for comparative effectiveness with the observational medical outcomes partnership. Appl. Clin. Inform. 6(3), 536–547 (2015)
Bidgood Jr, W.D., Horii, S.C., Prior, F.W., Van Syckle, D.E.: Understanding and using DICOM, the data interchange standard for biomedical imaging. J. Am. Med. Inform. Assoc. 4(3), 199–212 (1997)
OHDSI/Achilles. https://github.com/OHDSI/Achilles
OHDSI/Atlas. https://github.com/OHDSI/Atlas
Shin, S.J., You, S.C., Park, Y.R., Roh, J., Kim, J.H., Haam, S., Reich, C.G., Blacketer, C., Son, D.-S., Oh, S., Park, R.W.: Genomic common data model for seamless interoperation of biomedical data in clinical practice: retrospective study. J. Med. Internet Res. 21(3), e13249 (2019)
Acknowledgments
This study was supported by the grants of Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare (HI18C1216), the National Research Foundation of Korea (NRF) (2016M3A9A7918501) and Technology Innovation Program (20001234) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea).
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Kim, S. et al. (2021). Development of Web-Based Management System and Dataset for Radiology-Common Data Model (R-CDM) and Its Clinical Application in Liver Cirrhosis. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1252. Springer, Cham. https://doi.org/10.1007/978-3-030-55190-2_54
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DOI: https://doi.org/10.1007/978-3-030-55190-2_54
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