ISMRM25 - Interventional MRI: Radiation Oncology

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

ISMRM & ISMRT 2025 Annual Meeting & Exhibition

Digital Poster

Interventional MRI: Radiation Oncology

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Interventional MRI: Radiation Oncology

Digital Poster

Interventional

Monday, 12 May 2025

Exhibition Hall

17:00 - 18:00

Session Number: D-131

No CME/CE Credit

		Computer Number: 97 2197. An Integrated Platform for Tumor Targeting and Thermal Ablation: Improving Efficacy and Efficiency of Percutaneous Liver Cancer Treatment. View Presentation Video A. Ajala, J. Mitra, C. Bhushan, H. Chan, D. Mills, R. Darrow, S. Huang, J. Sakhardande, B. Bednarz, T. Foo, S. Wells, J. Holmes, D. T. B. Yeo GE HealthCare, Niskayuna, United States Impact: The implemented integrated platform has the potential to enhance the efficacy and efficiency of MWA procedures in HCC treatment via precise tumor targeting and improved temperature monitoring. The integrated platform is deployable for other kinds of ablative procedures and pathologies.
		Computer Number: 98 2198. Porcine liver machine perfusion under MRI to study the influence of hepatic arterial blood flow on microsphere distribution in radioembolization View Presentation Video T. Snoeijink, A. van den Brekel, J. van der Hoek, J. Greve, H. Liefers, M. Boswinkel, S. Ruiter, E. Groot Jebbink, J. Nijsen Radboud University Medical Centre, Nijmegen, Netherlands Impact: Our ex vivo porcine liver perfusion setup under MRI provides an unique platform to assess the influence of patient-specific parameters during TARE. This platform may also contribute to the detailed study of various liver diseases and potential treatments under MRI.
		Computer Number: 99 2199. Technical Development and In Silico Implementation of SyntheticMR in Adaptive Radiation Therapy on the 1.5T MR-Linac View Presentation Video L. McCullum, S. Mulder, N. West, R. Aghoghovbia, A. Ali, H. Scott, T. Salzillo, Y. Ding, A. Dresner, E. Subashi, D. Ma, R. J. Stafford, K-P Hwang, C. Fuller The University of Texas MD Anderson Cancer Center, Houston, United States Impact: SyntheticMR can enhance the MR-Linac workflow in the following ways: 1) multi-contrast anatomic/quantitative information in a single scan, 2) superior quantitative accuracy and spatial resolution compared to existing techniques, and 3) clinically acceptable repeatability, reproducibility, and spatial accuracy.
		Computer Number: 100 2200. Predicting the trajectory of radiotherapy response in patients with head and neck cancer using mathematical modeling of MRI-based habitats View Presentation Video D. Hormuth II, M. Dubec, A. Lozano, K. Harrington, D. Buckley, J. O'Connor, T. Yankeelov The University of Texas at Austin, Austin, United States Impact: MRI-based modeling of intratumoral heterogeneity in hypoxic, perfusion, and cellular status can predict changes in tumor biology in response due to radiotherapy. Patient-specific predictions based on dynamic changes in imaging parameters could be used to identify optimal radiotherapy strategies.
		Computer Number: 101 2201. Improving accuracy of MR-Linac arterial spin labelling for imaging dynamics of highly-perfused tumour regions in glioblastoma View Presentation Video L. Lawrence, B. Chugh, J. Stewart, M. Ruschin, A. Theriault, J. Detsky, S. Myrehaug, P. Maralani, C-L Tseng, H. Soliman, M. J. Lim-Fat, S. Das, A. Sahgal, A. Lau University of Toronto, Toronto, Canada Impact: Accurate cerebral blood flow measurements from MR-Linac arterial spin labelling are possible by using the measured labelling efficiency. To target highly-perfused glioblastoma regions with dose-escalation, targeting enhancing tumour is insufficient and adaptation is required.
		Computer Number: 102 2202. Quantitative 3D T1ρ Imaging for Monitoring Radiotherapy Treatment Response in Cervical Cancer View Presentation Video S. P. Jogi, V. Williams, Q. Peng, R. Otazo, M. Kollmeier, V. Yu, C. Wu Memorial Sloan Kettering Cancer Center, New York, United States Impact: This study demonstrates the feasibility of using quantitative 3D T1ρ imaging to assess the response to concurrent chemoradiation in cervical cancer. T1ρ imaging can provide complementary information to help predict treatment response at early timepoints during chemoradiation to individualize treatment.
		Computer Number: 103 2203. Real-Time MR-Based Measurement of Radiation-Induced Free Radical Generation on Clinical Low-Field 0.35T MR-Linac View Presentation Video C. Park, N. Warner, V. Venkatachalam, A. Sudhyadhom Brigham and Women's Hospital, Harvard Medical School, Boston, United States Impact: This work establishes the foundation for real-time, non-invasive measurement and monitoring of radiation-induced free radical generation (FRG) during radiation therapy, toward enabling biological adaption that accounts for spatial- and patient-specific responses, and ultimately improving therapeutic outcomes.
		Computer Number: 104 2204. Intraprostatic Lesion Conspicuity Reproducibility Assessment of DWI in 1.5T MR-guided Radiotherapy: MRI-Simulator vs MR-Linac View Presentation Video O. L. Wong, J. Yuan, D. Poon, S. T. Chiu, C. Xue, B. Yang Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong Impact: This study reveals moderate reproducibility of intraprostatic lesion conspicuity between MR-simulator and MR-LINAC systems. Findings underscore the need for improved DWI quality and standardized protocols in MR-guided radiotherapy.
		Computer Number: 105 2205. Online Motion-Resolved 4D MRI with Pseudo-Golden-Angle Radial Acquisition and Deep Learning Reconstruction on a 1.5T MR-Linac View Presentation Video C. Wu, S. Siddiq, S. Jogi, V. Murray, R. Otazo Memorial Sloan Kettering Cancer Center, New York, United States Impact: Motion-resolved 4D MRI is feasible with PGA radial sampling, presenting performance similar to GA radial sampling. The combination of PGA sampling and Movienet reconstruction would enable the integration of 4D MRI into the Elekta MR-Linac clinical workflow for adaptive radiotherapy.
		Computer Number: 106 2206. Automated Intraprocedural Detection and Registration of Interventional Devices via Characteristic Fiducial Markers View Presentation Video T. Lilieholm, J. Guerrero Gonzalez, A. Alexander, T. Oakes, W. Block University of Wisconsin-Madison, Madison, United States Impact: Applied methods were able to leverage geometric information from characteristic fiducial markers to fully autonomously identify and orient a stereotactic trajectory guide, streamlining an often manual or multimodal step in many workflows for MRI-guided interventions.
		Computer Number: 107 2207. Inter-fractional Size Change of Lymph Node Metastases during MR-guided Stereotactic Body Radiotherapy in Oligometastatic Prostate Cancer View Presentation Video J. Yuan, C. Xue, O. L. Wong, D. Poon, B. Yang, S-T Chiu Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong Impact: The study's findings could enhance clinical practices in managing LNMs in omPC, prompting further investigations into the prognostic value of inter-fractional size changes. This research may lead to improved treatment strategies and personalized approaches, ultimately benefiting patient outcomes.
		Computer Number: 108 2208. An MRI Quality Assurance Program for Gamma Knife Radiosurgery: A Systematic Approach to Ensure High Spatial Accuracy and Precision View Presentation Video M. Servati, C. Walker, P. Hou, D. Mackin, T. Briere, J. Stafford, J. Yung University of Texas MD Anderson Cancer Center, Houston, United States Impact: Automated QA at a multi-site institution improves spatial accuracy in MR imaging for GKRS, enabling proactive system maintenance, streamlined approvals, and immediate corrective actions. This program enhances GKRS safety and supports continuous improvement in MRI acquisition quality.
		Computer Number: 109 2209. Validation of Multi-modality Image Registration for Glioblastoma Treatments on the MR-Linac View Presentation Video T. Gribilas, L. Lawrence, A. Lau, R. Oglesby, J. Stewart, G. Stanisz, B. Chugh McMaster University, Hamilton, Canada Impact: A new tool was developed for verifying the accuracy of registration of MR images, which could be used to automatically detect inaccurate registrations during the treatment workflow on the MR-Linac.
		Computer Number: 110 2210. Developing a Predictive Model Using MRI Radiomics for Online Adaptation Strategies in MRI-Guided Radiotherapy for Prostate Cancer View Presentation Video C. Xue, J. Yuan, D. Poon, B. Yang, S-T Chiu, O. L. Wong Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong Impact: The results of this study could assist clinicians' decision-making in MRI-guided radiotherapy (MRgRT) for localized prostate cancer, enhancing treatment precision and minimizing side effects. Building MRI radiomics models demonstrates the possibility for personalized treatment plans, ultimately improving patient outcomes.
		Computer Number: 111 2211. MR-guided Biopsy of Human Ex-vivo Sarcomas using the GantryMate Assistance System View Presentation Video S. Reiss, B. Bogner, S. Hickey, A. Runkel, M. Bock University Medical Center Freiburg, University of Freiburg, Freiburg, Germany Impact: An MRI-guided ex vivo biopsy approach for soft tissue sarcomas is presented that enables precise correlation between multi-parametric MRI and histology. The technique holds promise to improve treatment monitoring during radiation therapy and could guide future in vivo studies.
		Computer Number: 112 2212. Correlation of PSMA-PET/CT standardized uptake value (SUV) and apparent diffusion coefficient (ADC) in MR-guided prostate radiotherapy View Presentation Video J. Yuan, O. L. Wong, C. Xue, S. T. Chiu, B. Yang, D. Poon Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong Impact: This study underscores the intricate relationship between PSMA-PET/CT SUV and DWI-ADC in prostate MRgRT, significantly affected by the timing of androgen deprivation therapy administration, which may influence the scheduling and logistics of MRgRT imaging.

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