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Personalised Image-based Computational Modelling Framework to Forecast Prostate Cancer

Project description

Computational model for surveilling prostate cancer

According to the World Cancer Research Fund, prostate cancer is the second most common cancer among men and the fourth most common cancer overall. While detection of prostate cancer has improved, monitoring its progression has proven to be more complicated. Cutting-edge multiparametric magnetic resonance imaging (mpMRI) provides high-quality information about tumour anatomy and physiology. PICModForPCa is developing a predictive, personalised model of prostate cancer based on mpMRI to better exploit the wealth of data available. Comparing a patient's imaging and clinical data at two different time points will enable personalised active surveillance that improves treatment, patient quality of life, and survival rates.

Coordinator

UNIVERSITA DEGLI STUDI DI PAVIA
Net EU contribution
€ 251 002,56
Address
Strada Nuova 65
27100 Pavia
Italy

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Region
Nord-Ovest Lombardia Pavia
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00

Partners (1)

Partner

Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.

THE UNIVERSITY OF TEXAS SYSTEM
United States
Net EU contribution
€ 0,00
Address
Colorado Street 601
78701 2982 Austin

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Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 165 265,92