Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
568-03-010 ISMRM Abstract

Multicenter repeatability of diffusion-weighted MRI in liver tumors on a hybrid 1.5 T MRI-linear accelerator

Accepted
Jonas Habrich1, Vivian W. J. van Pelt2, Damien McHugh3, Andreas Wetscherek4, Tim Schakel5, Marijn Kruiskamp6, Jihong Wang7, Marlies E Nowee2, Ulke A van der Heide2, Eric S Paulson8, Daniela Thorwarth1, Petra J van Houdt 2
1Department of Radiation Oncology, University Hospital Tübingen, Section for Biomedical Physics, Tübingen, Germany
2Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands, Netherlands
3Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, United Kingdom
4Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom
5Radiotherapy, UMC Utrecht, Utrecht, Netherlands
6MR Clinical Science, Philips Healthcare, Best, Netherlands
7Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, United States of America
8Radiation Oncology, Medical College of Wisconsin, Milwaukee, United States of America
Presenting Author: Petra J van Houdt

Synopsis

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References

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2. Hundvin JA, Habrich J, Gani C, et al. Early response prediction during radiotherapy in rectal cancer using sequential diffusion-weighted imaging at a magnetic resonance image-guided linear accelerator. Physics and Imaging in Radiation Oncology (2025): 100846. https://doi.org/10.1016/j.phro.2025.100846 [doi]
3. https://github.com/OSIPI/TF2.4_IVIM-MRI_CodeCollection/blob/main/src/original/PvH_KB_NKI/DWI_functions_standalone.py
4. Fedorov A, Beichel R, Kalpathy-Cramer J, et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magnetic resonance imaging 30.9 (2012): 1323-1341. doi:10.1016/j.mri.2012.05.001 [doi]
5. Bisgaard ALH, Brink C, Fransen ML, et al. Robust extraction of biological information from diffusion-weighted magnetic resonance imaging during radiotherapy using semi-automatic delineation. Physics and imaging in radiation oncology 21 (2022): 146-152. doi:10.1016/j.phro.2022.02.014 [doi]
6. Shukla‐Dave A, Obuchowski NA, Chenevert TL, et al. Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials. Journal of Magnetic Resonance Imaging 49.7 (2019): e101-e121. doi:10.1002/jmri.26518 [doi]
7. Baas KPA, Visser S, van Pelt VWJ, et al. Technical validation of DWI in the abdomen using different motion compensation techniques on a 1.5T MR-Linac. ISMRM, Singapore (2024). https://archive.ismrm.org/2024/0449.html
8. Boss MA, Malyarenko D, Partridge S, et al. The QIBA profile for diffusion-weighted MRI: apparent diffusion coefficient as a quantitative imaging biomarker. Radiology 313.1 (2024): e233055. doi:10.1148/radiol.233055 [doi]
9. Pathak R, Tian J, Thacker NA, et al. Considering tumour volume for motion corrected DWI of colorectal liver metastases increases sensitivity of ADC to detect treatment-induced changes. Scientific Reports 9.1 (2019): 3828. doi:10.1038/s41598-019-40565-y [doi]
10. Guyader JM, Bernardin L, Douglas NHM, et al. Influence of image registration on apparent diffusion coefficient images computed from free‐breathing diffusion MR images of the abdomen. Journal of Magnetic Resonance Imaging 42.2 (2015): 315-330. doi:10.1002/jmri.24792 [doi]

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