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PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation
Luis Martí-Bonmatí1, Ángel Alberich-Bayarri2, Ruth Ladenstein3
1Medical Imaging Department, La Fe University and Polytechnic Hospital & Biomedical Imaging Research Group (GIBI230) at La Fe University and Polytechnic Hospital and Health Research Institute, Av. Fernando Abril Martorell 106, 46026, Valencia, Spain. marti_lui@gva.es.
Insights
The PRIMAGE project uses AI and medical imaging to improve pediatric cancer treatment. This research aims to enhance diagnosis, treatment allocation, and prognosis for children with neuroblastoma and diffuse intrinsic pontine glioma.
Area of Science:
- Medical Imaging
- Artificial Intelligence
- Paediatric Oncology
Background:
- PRIMAGE is a large, EU-funded research project involving 16 European partners.
- It focuses on advancing medical imaging, AI, and cancer treatment for children.
Purpose of the Study:
- To develop and validate AI-driven tools for paediatric cancer phenotyping, treatment allocation, and prognosis.
- To create an open, cloud-based platform for clinical decision support using imaging biomarkers and machine learning.
Main Methods:
- An observational in silico study utilizing high-quality, anonymized datasets (imaging, clinical, molecular, genetics).
- Training and validation of machine learning and multiscale algorithms.
- Development and validation of a decision support prototype on neuroblastoma and diffuse intrinsic pontine glioma, with external validation.
Main Results:
- The project aims to provide precise clinical assistance for diagnosis, treatment prediction, and prognosis.
- The platform will integrate imaging biomarkers, tumour growth simulation, and advanced visualization.
- External validation will ensure the robustness of the developed algorithms.
Conclusions:
- The PRIMAGE project will deliver a validated decision support prototype for paediatric cancers.
- The findings are expected to be translatable to other malignant solid tumours.
- Results will be disseminated to the scientific community, facilitating clinical translation.
Abstract:
PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the consortium, including the European Society for Paediatric Oncology, two imaging biobanks, and three prominent European paediatric oncology units. The project is constructed as an observational in silico study involving high-quality anonymised datasets (imaging, clinical, molecular, and genetics) for the training and validation of machine learning and multiscale algorithms. The open cloud-based platform will offer precise clinical assistance for phenotyping (diagnosis), treatment allocation (prediction), and patient endpoints (prognosis), based on the use of imaging biomarkers, tumour growth simulation, advanced visualisation of confidence scores, and machine-learning approaches. The decision support prototype will be constructed and validated on two paediatric cancers: neuroblastoma and diffuse intrinsic pontine glioma. External validation will be performed on data recruited from independent collaborative centres. Final results will be available for the scientific community at the end of the project, and ready for translation to other malignant solid tumours.
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