Elekta announced the presentation of 72 abstracts demonstrating the technical capabilities and clinical utility of the Elekta Unity MR-Linac. The research described in the abstracts was conducted at 14 leading cancer centers worldwide, reflecting the broad global adoption of the system. The abstracts were reported at the European SocieTy for Radiotherapy and Oncology (ESTRO) which took place 27-31 August in Madrid, Spain. Mr. Brown highlighted several abstracts that exemplify the innovative approaches that members of the MR-Linac Consortium are pursuing to optimize the clinical use of Elekta Unity in real-world settings: To maintain and increase uptake of MRgRT's cutting-edge technology, traditional roles and responsibilities for radiographers, clinicians and physicists may need to evolve. This abstract describes an effort to provide an in-depth understanding and subsequent impact of the roles required to deliver MRgRT using Focus Group Interviews. Thirty participants took part (Radiographers: n=18, Physicists: n=9 and Clinicians: n=3), and the consensus among the group was to move toward a radiographer-led process with training preferably delivered in a blended way, both before and during treatments. The authors conclude that roles must be created with sufficient support and robust governance to enable evaluation of effectiveness, impact, ongoing sustainability, and responsiveness. A training framework created collaboratively with all stakeholders and professions involved would ensure consistency in skills and knowledge. MRI images are less geometrically accurate compared with CT images, which can impact radiation dose delivery in MRgRT. This abstract describes the first results from a Danish national network for quality assurance (QA) of MR images used in radiation therapy in Denmark. A general MRI sequence was used to test the geometric accuracy of MRI scanners (n=8) and MR-linacs (n=2) at seven of eight Danish radiation therapy centers and one radiology department. Except for one MRI scanner, the results were below 0.43 mm within 200 mm diameter spherical volume and below 1.2 mm for a 350 mm diameter spherical volume (DSV). No dependence on magnetic field strength was seen. These findings demonstrate both the ability to deliver an MR-led precision radiation therapy workflow and the value of QA systems in optimizing MRgRT. As the first high-field MR-guided radiation therapy system, Elekta Unity enables new treatment approaches for a broad array of cancers, including prostate cancer. To ensure that the promise of this technology is fully realized, the MR-linac Consortium launched the MOMENTUM study, which is designed to build a robust body of real-world clinical data and insights regarding implementation and use of Elekta Unity. This abstract describes the first data output from the MOMENTUM study, and includes short-term results (three and six months of follow-up [FU]) for 156 patients with prostate cancer treated with ultrahypofractionated radiation therapy (5 x 7.25 Gray). No grade =3 genitourinary or gastrointestinal toxicity was reported, and no significant deterioration of patient-reported outcomes scores were observed. The percentage of men reporting no difficulty getting or maintaining an erection remained constant throughout FU (44.4% at baseline, 40.0% at 3 months FU, and 42.9% at 6 months FU). These findings support the safety and efficacy of ultrahypofractionated radiation therapy delivered with Elekta Unity for the treatment of prostate cancer. For imaging biomarkers acquired on MR-Linacs to be useful they need to be accurate, repeatable on individual patients, and reproducible across different MR-Linacs. The aim of this study was to determine the repeatability of apparent diffusion coefficient values derived from diffusion-weighted MRI in patients with head and neck cancer acquired on Elekta Unity. When analyzed at the Volume of Interest level the within subject coefficient of Variation ranged between 3.3% in the parotid glands and 8.3% in the GTV. These are promising results and support further development towards quantitative MRI for online adaptive RT.