CC BY-NC-ND 4.0 · Appl Clin Inform 2022; 13(01): 091-099
DOI: 10.1055/s-0041-1741481
State of the Art/Best Practice Paper

PCaGuard: A Software Platform to Support Optimal Management of Prostate Cancer

Ioannis Tamposis
1   Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
,
Ioannis Tsougos
2   Department of Medical Physics, Medical School, University of Thessaly, Larisa, Greece
,
Anastasios Karatzas
3   Department of Urology, Medical School, University of Thessaly, Larisa, Greece
,
Katerina Vassiou
4   Radiology and Anatomy Department, Medical School, University of Thessaly, Larisa, Greece
,
Marianna Vlychou
5   Radiology Department, Medical School, University of Thessaly, Larisa, Greece
,
Vasileios Tzortzis
3   Department of Urology, Medical School, University of Thessaly, Larisa, Greece
› Author Affiliations
Funding All authors report support from the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH–CREATE–INNOVATE (project code: T1EDK-03264) for nonprofit. All authors report receipt from related university hospital of Larisa for nonprofit.
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Abstract

Background and Objective Prostate 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.

Methods We 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.

Results The 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.

Conclusion This 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.

Protection of Human and Animal Subjects

The study was performed in compliance with the World Medical Association Declaration of Helsinki Ethical Principles for Medical Research Involving Human Subjects and was reviewed by the University Hospital Ethics Committee, Larisa Greece (reference 4861).




Publication History

Received: 28 July 2021

Accepted: 24 November 2021

Article published online:
19 January 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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