ESTRO 2025 - Abstract Book

S3721

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2025

Figure 1 : K trans maps and utilized VIFs: (a) Patient 3, visit 1. (b) Patient 3, visit 2. (c) Synthetic patient 1, visit 1. The patient-specific VIF (orange) is unsuitable, so a population-based VIF 5 (blue) is used instead.

Conclusion: Our implementation using the extended Tofts model with voxel-wise, linear fitting and a patient-specific VIF from the SSS yielded accurate, repeatable and reproducible results. Implementation of this DCE analysis tool into a TPS enables a seamless workflow for biomarker driven treatment planning.

Keywords: DCE-MRI, Tofts, glioblastoma

References: 1 Khalifa, Fahmi, et al. Models and methods for analyzing DCE-MRI: A review . Medical physics (2014) 2 Shalom, Eve S., et al. The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI–Dynamic Contrast-Enhanced challenge . Magnetic resonance in medicine (2024) 3 Tofts, Paul S. Modeling tracer kinetics in dynamic Gd-DTPA MR imaging . Journal of magnetic resonance imaging (1997) 4 Barboriak, D. (2015). Data From RIDER NEURO MRI . The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.VOSN3HN1 5 Parker, Geoff J.M., et al. Experimentally-derived functional form for a population-averaged high-temporal-resolution arterial input function for dynamic contrast-enhanced MRI . Magnetic Resonance in Medicine (2006)