IMAGEOMICS
Optimizing Benefit/Risk Ratio in Breast Cancer Diagnosis and Radiotherapy: Identifying Molecular, Cellular and Imaging Signatures of Breast Cancer Heterogeneity to Improve Personalized Therapeutic Strategies for Synergistic Treatment Combinations
Project news
BIOMODr - breast training course

17.1.2025
"BIOMODr - breast" training course will be held on 23 - 27 June 2025 in Pavia, Italy.
IMAGEOMICS kick-off meeting

3.9.2024
The online kick-off meeting of the IMAGEOMICS project took place on 31 May and 4 June.
First deliverable of IMAGEOMICS project

11.7.2024
Data Management Plan of IMAGEOMICS project is delivered.
Project objectives and goals
The main aims of IMAGEOMICS are to improve benefit/risk ratio of breast cancer (BC) patients by identifying patients with a predicted favourable response to combined radiotherapy (RT) and immunotherapy and to develop new imaging modality with increased diagnostic potential and reduced ionizing radiation exposure. These aims will be realized through the following specific objectives: a) investigate how RT influences immunogenic heterogeneity of BC cells of different molecular subtypes using in vitro and in vivo approaches; b) test the applicability of nanoparticles for X ray fluorescence computed tomography (XFCT) to be used for the detection of BC heterogeneity; c) to identify local and systemic signatures that predict patient benefit from combined RT and immunotherapy and test their clinical applicability; d) to integrate data retrieved from experimental models and human studies with epidemiological data to build up a protocol for optimal patient stratification.
Schematic workflow

Project coordinator
Géza Sáfrány, National Center for Public Health and Pharmacy, Department of Radiobiology and Radiohygiene, Budapest, Hungary
Deliverables
| D9.14 | IMAGEOMICS – Data Management Plan | DMP - Data management plan |
| D9.15 | IMAGEOMICS - Initial specifications of system design parameters by means of simulation models dedicated for XFCT applications in breast cancer imaging | R - Document, report |