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Dynamic personalize care: Implementing an in-clinic mathematical prediction app

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The DASPO-group for information evaluation and survival for customized oncology has developed an app that gives dynamic predictions of survival for sufferers affected by gentle tissue sarcoma. Patients with gentle tissue sarcoma usually have a poor prognosis even after surgery to take away the first tumor. Local recurrence (tumor development at website of surgery) and distant metastasis (tumor development at a unique website) are of nice concern and are important indicators for a affected person’s future prognosis. The developed app permits for inclusion of up to date affected person data, corresponding to growth of an area recurrence or distant metastasis throughout follow-up. The app offers up to date predictions from completely different time factors throughout follow-up.

The dynamic PERSARC app

The dynamic PERsonalised SARComa Care app, is on the market within the Appstore and Google play retailer. It predicts a affected person’s likelihood of surviving a further 5 years from a prediction time level after surgery, primarily based on patient- and disease-specific traits. The mannequin consists of the incidence of native recurrence and distant metastasis, which have a big affiliation to survival. It was developed by Anja Rüten-Budde Ph.D.-student on the Mathematical Institute (MI) and undertaking leaders Marta Fiocco (MI) and Michiel van de Sande (LUMC).

Researchers from Leiden University Medical Center was granted funding from the Dutch Cancer Society (KWF) to implement shared determination making for high-grade gentle tissue sarcoma sufferers within the Netherlands. The aim is to make sure that gentle tissue sarcoma sufferers obtain customized care, wherein dangers and advantages of therapy choices and affected person preferences are balanced. Part of the implantation technique is the introduction of the PERsonalised SARComa Care app to scientific follow.


Mathematicians develop a prediction app for customized sarcoma care


More data:
A. J. Rueten-Budde, M. van de Sande, V. van Praag, PERSARC study- group, and M. Fiocco. External validation and adaptation of a dynamic pre- diction mannequin for sufferers with high-grade extremity gentle tissue sarcoma. Submitted.

Rueten-Budde, A.J., van Praag, V.M., PERSARC studygroup, van de Sande, M.A.J., Fiocco, M., 2018. Dynamic prediction of total survival for sufferers with high-grade extremity gentle tissue sarcoma. Surgical Oncology, 27, pp.695-701.

A. J. Rueten-Budde, V. van Praag, PERSARC study- group, and M. Fiocco. A prediction mannequin for therapy choices in high-grade extremity soft-tissue sarcomas: Personalised sarcoma care (PERSARC); European Journal of most cancers 2017, Volume 83, Pages 313–323

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Leiden University

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