HPVGuard: A Software Platform to Support Management and Prognosis of Cervical Cancer

Tamposis, Ioannis; Iordanidis, Evripidis; Tzortzis, Leonidas; Bountris, Panagiotis; Haritou, Maria; Koutsouris, Dimitrios; Pouliakis, Abraham; Karakitsos, Petros

doi:10.4108/icst.mobihealth.2014.257377

Cited by 11 publications

(7 citation statements)

References 7 publications

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“…All women were informed about the scope of the study and were asked to undersign a consent form before entering the study. The study’s protocol has been approved by the Greek Central Government and subsequently received additional approval from the coordinating authority “Attikon” University Hospital Ethics Committee (Code: ΕΒΔ 623/14-5-13) [ 15 ].…”

Section: Methodsmentioning

confidence: 99%

The Influence of Sexual Behavior and Demographic Characteristics in the Expression of HPV-Related Biomarkers in a Colposcopy Population of Reproductive Age Greek Women

Valasoulis

Pouliakis

Michail

et al. 2021

Biology

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Despite the significant scientific evolution in primary and secondary cervical cancer prevention in the battle started by George Papanicolaou in the previous century, global cervical cancer mortality rates remain disappointing. The widespread implementation of HPV-related molecular markers has paved the way to tremendous developments in cervical cancer screening, with the transition from cytological approach to the more accurate and cost-effective HPV testing modalities. However, the academic audience and different health systems have not yet adopted a universal approach in screening strategies, and even artificial intelligence modalities have been utilized from the multidisciplinary scientific armamentarium. Combination algorithms, scoring systems as well as artificial intelligent models have been so far proposed for cervical screening and management. The impact of sexual lifestyle inherently possesses a key role in the prevalence of HPV-related biomarkers. This study aimed to investigate any possible influence of sexual behavior and demographic characteristics in the expression of HPV-related biomarkers in a colposcopy population from October 2016 to June 2017, and corroborated the determining role of age at fist intercourse; the older the age, the lower the probability for DNA positivity. Multivariate analysis illustrated additionally that a number of sexual partners exceeding 4.2 was crucial, with women with ≤5 partners being approximately four times less likely to harbor a positive HPV DNA test (p < 0.0001). Similarly, a reported partner change during the last year before HPV DNA assessment contributed to 2.5 times higher odds for DNA positivity (p = 0.0006). From this perspective, the further development and validation of scoring systems quantifying lifestyle factors that could reflect cervical precancer risk seems paramount.

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Section: Methodsmentioning

confidence: 99%

The Influence of Sexual Behavior and Demographic Characteristics in the Expression of HPV-Related Biomarkers in a Colposcopy Population of Reproductive Age Greek Women

Valasoulis

Pouliakis

Michail

et al. 2021

Biology

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“…CDSSs cover a wide range of applications, from diagnosis support to modeling, the probability of occurrence of various diseases, or the efficiency of alternative therapeutic schemes. 19,20 To do so, CDSSs are using not only individual patient data, but also data on risk factors and efficiency of available therapeutic schemes stored in databases. This way, CDSSs provide clinicians with patient-specific assessments or recommendations to aid clinical decision-making.…”

Section: Background and Significancementioning

confidence: 99%

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

et al. 2022

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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.

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“…They focused on feature selection problems to achieve balanced results in the sensitivity and specificity. Furthermore, [16] designed and implemented a platform to CxCa control. The system stores Pap test, HPV tests, woman's medical history and non-medical data.…”

Section: Articles Contributionsmentioning

confidence: 99%

Artificial Intelligence for Cervical Cancer Analysis

2021

IJATCSE

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Substantial works exist related to cervical cancer that is generally caused by human papillomavirus (HPV). These works have reported important results related to cervical cancer disease and HPV. Artificial intelligence applications are essential to diagnose and treat cervical cancer and so combat this disease in time. The purpose of this re-view is to summarize the published studies in recent years on the use of Artificial intelligence technologies in cases associated with cervical cancer. 26 articles related to HPV were analyzed based on three principal criteria: contributions of the paper, techniques, and algorithms of artificial intelligence, and datasets used. Theanalysis realized would help health staff to make decisions in the management of this disease.

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HPVGuard: A Software Platform to Support Management and Prognosis of Cervical Cancer

Cited by 11 publications

References 7 publications

The Influence of Sexual Behavior and Demographic Characteristics in the Expression of HPV-Related Biomarkers in a Colposcopy Population of Reproductive Age Greek Women

The Influence of Sexual Behavior and Demographic Characteristics in the Expression of HPV-Related Biomarkers in a Colposcopy Population of Reproductive Age Greek Women

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

Artificial Intelligence for Cervical Cancer Analysis

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