652-01-003 / 652-01-003 ISMRM Abstract

Integrating DCE-MRI and DW-MRI for Patient-Specific Prediction of Drug Transport Dynamics in Solid Tumors

Primary: Analysis Methods - Classification and Prediction

Secondary: Physics & Engineering - In Silico

652-01-003 · Prognostication and Predictive Value of MR Biomarkers · Thursday, 14 May, 8:30 AM–10:06 AM · Power Pitch Theatre 2

Keywords: Biophysical model Computational Fluid Dynamics Biomechanical Modeling Image-based model Drug Transport

Accepted

Hooman Salavati ^1,2, Charlotte Debbaut¹, Pim Pullens^3,4,5, Wim Ceelen²

¹IbiTech - BioMMedA, Ghent University, Ghent, Belgium

²SurgX lab, Ghent University, Ghent, Belgium

³Department of Radiology and Nuclear Medicine, Ghent University Hospital, Gent, Belgium

⁴Ghent Institute of Functional and Metabolic Imaging (GIFMI), Ghent University, Ghent, Belgium

⁵IBiTech – Medisip, Ghent University, Ghent, Belgium

Presenting Author: Hooman Salavati

Synopsis

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References

1. Salavati, H., et al., Interstitial fluid pressure as an emerging biomarker in solid tumors. Biochimica et Biophysica Acta (BBA)-Reviews on Cancer, 2022: p. 188792. PMID: 36084861. [pmid]

2. Salavati, H., P. Pullens, and W.D. Ceelen, Charlotte, Drug Transport Modeling in Solid Tumors: a Computational Exploration of Spatial Heterogeneity of Biophysical Properties. Computers in Biology and Medicine 2023. PMID: 37392620 [pmid]

3. Feng, L., et al., Golden‐angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden‐angle radial sampling for fast and flexible dynamic volumetric MRI. Magnetic resonance in medicine, 2014. 72(3): p. 707-717. PMID: 24142845 [pmid]

4. Salavati, H., et al., Image-guided patient-specific prediction of interstitial fluid flow and drug transport in solid tumors. Journal of Controlled Release, 2025. 378: p. 899-911. PMID: 39716662 [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/652-01-003