Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
303-03-005 ISMRM Abstract

Leveraging advanced diffusion measures to spatially predict changes in tumor burden during stereotactic ablative radiotherapy

Primary: Interventional - MR-Guided Radiotherapy
Secondary: Neuro - Tumors
303-03-005 · Advanced Tumor Imaging: Bridging Research and Clinical Practice · Monday, 11 May, 4:10 PM–6:00 PM · Auditorium 1
Keywords: Treatment Response IVIM-DWI Digital Twin High-Grade Glioma Mathematical modeling
Accepted
David A Hormuth, II 1,2, Jill De Vis3, Yen-peng Liao3, Yunxiang Li3, Robert D Timmerman3, Zabi Wardak3, Tu Dan3, Michael Dohopolski3, Xin Cai3, Caroline Chung4, Thomas E Yankeelov1,2,5,6,7, You Zhang3, Jie Deng3
1Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, United States of America
2Livestrong Cancer Institutes, The University of Texas at Austin, Austin, United States of America
3Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, United States of America
4Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, United States of America
5Department of Biomedical Engineering, The University of Texas at Austin, Austin, United States of America
6Department of Diagnostic Medicine, The University of Texas at Austin, Austin, United States of America
7Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, United States of America
Presenting Author: David A Hormuth, II

Synopsis

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References

1. Hormuth DA 2nd, Farhat M, Panthi B, Langshaw H, Shanker MD, Talpur W, Thrower S, Goldman J, Ty S, Custer C, Kowalski J, Yankeelov TE, Chung C. Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based Modeling. Int J Radiat Oncol Biol Phys. 2025 Jul 25:S0360-3016(25)06020-1. doi: 10.1016/j.ijrobp.2025.07.1423. Epub ahead of print. PMID: 40716653. [doi] [pmid]
2. C. Fookes and M. Bennamoun, “Rigid medical image registration and its association with mutual information,” Int. J. Patt. Recogn. Artif. Intell., vol. 17, no. 07, pp. 1167–1206, Nov. 2003, doi: 10.1142/S0218001403002800. [doi]
3. Hormuth II D, Eldridge SB, Weis J, Miga MI, Yankeelov TE. Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details. In: Stechow L von, editor. Springer Methods and Protocols: Cancer Systems Biology. New York, NY: Springer New York; 2018. p. 225–41. https://doi.org/10.1007/978-1-4939-7493-1_11 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/303-03-005