What is PRIMAGE?

The PRIMAGE project is devoted to developing methods of computational analysis of medical images applied to childhood cancer.

PRIMAGE proposes a cloud-based platform to support decision making in the clinical management of malignant solid tumors, offering predictive tools to assist diagnosis, prognosis, therapies choice and treatment follow-up, based on the use of novel imaging biomarkers, in-silico tumor growth simulation, advanced visualization of predictions with weighted confidence scores and machine-learning based translation of this knowledge into predictors for the most relevant, disease-specific, Clinical End Points.

The proposed data infrastructures, imaging biomarkers and models for in-silico medicine research will be validated in the application context of two pediatric cancers, Neuroblastoma (NB, the most frequent solid cancer of early childhood) and the Diffuse Intrinsic Pontine Glioma (DIPG, the leading cause of brain tumor-related death in children).

The Data

The European Society for Paediatric Oncology, two Imaging Biobanks and three of the most prominent European Paediatric oncology units are partners in this project, making retrospective clinical data (imaging, clinical, molecular and genetics) registries accessible to PRIMAGE, for training of machine learning algorithms and testing of the in-silico tools’ performance.

Solutions to streamline and secure the data pseudonymisation, extraction, structuring, quality control and storage processes, will be implemented and validated also for use on prospective data, contributing to European shared data infrastructures.

Final Expected Outcome

To integrate and validate a  functional prototype of the PRIMAGE cloud-based platform offering predictive tools to assist management of Neuroblastoma and DIPG paediatric cancers, from diagnosis to prognosis, therapies choice and treatment follow-up, based on the use of novel imaging biomarkers, tumor growth models and advanced visualisation of predictions.