Magnetic Resonance in MedicineSystems BiologyPeer-reviewed journal article
Optimal Mass Transport Kinetic Modeling for Head and Neck DCE-MRI: Initial Analysis
Rena ElkiniD, Saad NadeemiD, Eve LoCastroiD, Ramesh PaudyaliD, Vaios HatzoglouiD, Nancy Y. LeeiD, Amita Shukla‐DaveiD, Joseph O. DeasyiD, Allen TannenbaumiD
Abstract
Current state-of-the-art models for estimating the pharmacokinetic parameters do not account for intervoxel movement of the contrast agent (CA). We introduce an optimal mass transport (OMT) formulation that naturally handles intervoxel CA movement and distinguishes between advective and diffusive flows. Ten patients with head and neck squamous cell carcinoma (HNSCC) were enrolled in the study between June 2014 and October 2015 and under-went DCE MRI imaging prior to beginning treatment. The CA tissue concentration information was taken as the input in the data-driven OMT model. The OMT approach was tested on HNSCC DCE data that provides quantitative information for forward flux ({Phi}F) and backward flux ({Phi}B). OMT-derived {Phi}F was compared with the volume transfer constant for CA, Ktrans, derived from the Extended Tofts Model (ETM). The OMT-derived flows showed a consistent jump in the CA diffusive behavior across the images in accordance with the known CA dynamics. The mean forward flux was 0.0082 {+/-} 0.0091 (min-1) whereas the mean advective component was 0.0052{+/-}0.0086 (min-1) in the HNSCC patients. The diffusive percentages in forward and backward flux ranged from 8.67-18.76% and 12.76-30.36%, respectively. The OMT model accounts for intervoxel CA movement and results show that the forward flux ({Phi}F) is comparable with the ETM-derived Ktrans. This is a novel data-driven study based on optimal mass transport principles applied to patient DCE imaging to analyze CA flow in HNSCC.
- Citations
- 5
- FWCI
- 0.50
- Field percentile
- top 36%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Model discovery approach enables non-invasive measurement of intra-tumoral fluid transport in dynamic MRI
R. T. Woodall, C. C. Esparza, … R. C. Rockne·bioRxiv·Aug 28, 2023
- Evaluation of the fluid-movement contribution to the oxygen transport in tissue
- Structural and practical identifiability of contrast transport models for DCE-MRI
Martina Conte, Ryan T. Woodall, … Russell C. Rockne·PLoS Computational BiologyPeer-reviewed·May 15, 2024
- Voxel-wise tracer kinetic model selection for DCE-MRI measurements of blood-brain barrier leakage
Olivia A Jones, Ben Dickie, … Laura M. Parkes·bioRxiv·Jun 2, 2026
- Physics-based multiscale mass transport model in drug delivery and tumor microenvironment
Arturas Ziemys, Milos Kojic, Mauro Ferrari·bioRxiv·Nov 10, 2015
- Numerical Investigation of Drug Transport from Blood Vessels to Tumor Tissue Using a Tumor-Vasculature-on-a-Chip
W. Li, H.-F. Wang, … C.-X. Zhao·bioRxiv·May 28, 2019