Papers
-
We developed a generalized machine learning framework, trained on realistic in silico tumour models derived from microscopy images, to estimate tumour microstructure from DW-MRI across different acquisition protocols, enabling robust and non-invasive characterization of tumour heterogeneity.
-
This study evaluates quantitative susceptibility mapping (QSM) beyond the brain through realistic simulations and explores preliminary evidence that may be indicative of hypoxia in skull base chordomas (SBC).
-
This study explores the use of microstructural parameters and habitat analysis from diffusion-weighted MRI (DW-MRI) to characterize intratumoral heterogeneity, monitor treatment-induced changes after carbon ion radiotherapy, and examine their relationship with recurrence patterns in sacral chordoma patients.
-
This study investigates the use of advanced microstructural modelling from conventional diffusion-weighted imaging to enable dose painting in carbon ion radiotherapy. The approach allows increasing tumor control probability while ensuring organ sparing.
-
This work investigated the integration of DWI-derived cell density into LQ Poisson TCP model for sacral chordomas, enhancing prediction of local control after carbon ion therapy.
-
This study demonstrated the technical feasibility of biology-guided voxel-level dose painting based on diffusion-weighted MRI-derived tumour cellularity in proton therapy for skull-base chordoma, achieving improved target coverage and tumour control probability while maintaining clinically acceptable organ-at-risk doses.
Patents
-
The invention relates to a method for multi-scale, personalized mapping of the tissue microenvironment, involving realistic and dynamic in silico 3D cellular substrates, multiparametric MR simulation, patient-specific data comparison, and optionally, radiation-matter interaction modeling.