{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T00:40:17Z","timestamp":1780447217121,"version":"3.54.1"},"reference-count":41,"publisher":"Georg Thieme Verlag KG","issue":"01","license":[{"start":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T00:00:00Z","timestamp":1642550400000},"content-version":"vor","delay-in-days":18,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"RESEARCH\u2013CREATE\u2013INNOVATE","award":["T1EDK-03264"],"award-info":[{"award-number":["T1EDK-03264"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Background and Objective\u2003Prostate cancer (PCa) is a severe public health issue and the most common cancer worldwide in men. Early diagnosis can lead to early treatment and long-term survival. The addition of the multiparametric magnetic resonance imaging in combination with ultrasound (mpMRI-U\/S fusion) biopsy to the existing diagnostic tools improved prostate cancer detection. Use of both tools gradually increases in every day urological practice. Furthermore, advances in the area of information technology and artificial intelligence have led to the development of software platforms able to support clinical diagnosis and decision-making using patient data from personalized medicine.<\/jats:p><jats:p>\n          Methods\u2003We investigated the current aspects of implementation, architecture, and design of a health care information system able to handle and store a large number of clinical examination data along with medical images, and produce a risk calculator in a seamless and secure manner complying with data security\/accuracy and personal data protection directives and standards simultaneously. Furthermore, we took into account interoperability support and connectivity to legacy and other information management systems. The platform was implemented using open source, modern frameworks, and development tools.<\/jats:p><jats:p>\n          Results\u2003The application showed that software platforms supporting patient follow-up monitoring can be effective, productive, and of extreme value, while at the same time, aiding toward the betterment medicine clinical workflows. Furthermore, it removes access barriers and restrictions to specialized care, especially for rural areas, providing the exchange of medical images and patient data, among hospitals and physicians.<\/jats:p><jats:p>\n          Conclusion\u2003This platform handles data to estimate the risk of prostate cancer detection using current state-of-the-art in eHealth systems and services while fusing emerging multidisciplinary and intersectoral approaches. This work offers the research community an open architecture framework that encourages the broader adoption of more robust and comprehensive systems in standard clinical practice.<\/jats:p>","DOI":"10.1055\/s-0041-1741481","type":"journal-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T23:38:48Z","timestamp":1642635528000},"page":"091-099","source":"Crossref","is-referenced-by-count":11,"title":["PCaGuard: A Software Platform to Support Optimal Management of Prostate Cancer"],"prefix":"10.1055","volume":"13","author":[{"given":"Ioannis","family":"Tamposis","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ioannis","family":"Tsougos","sequence":"additional","affiliation":[{"name":"Department of Medical Physics, Medical School, University of Thessaly, Larisa, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anastasios","family":"Karatzas","sequence":"additional","affiliation":[{"name":"Department of Urology, Medical School, University of Thessaly, Larisa, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katerina","family":"Vassiou","sequence":"additional","affiliation":[{"name":"Radiology and Anatomy Department, Medical School, University of Thessaly, Larisa, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marianna","family":"Vlychou","sequence":"additional","affiliation":[{"name":"Radiology Department, Medical School, University of Thessaly, Larisa, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vasileios","family":"Tzortzis","sequence":"additional","affiliation":[{"name":"Department of Urology, Medical School, University of Thessaly, Larisa, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"issue":"02","key":"ref1","first-page":"151","article-title":"Prostate cancer pathology: recent updates and controversies","volume":"115","author":"J K Sehn","year":"2018","journal-title":"Mo Med"},{"issue":"24","key":"ref2","doi-asserted-by":"crossref","first-page":"2532","DOI":"10.1001\/jama.2017.7248","article-title":"The diagnosis and treatment of prostate cancer: a review","volume":"317","author":"M S Litwin","year":"2017","journal-title":"JAMA"},{"issue":"06","key":"ref3","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1016\/j.urology.2007.07.019","article-title":"Characteristics of prostate cancer detected by digital rectal examination only","volume":"70","author":"O T 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