ArticleFrontiers in oncology2025
Real-time tracking of lung tumors using a 1.5T Elekta Unity MR-Linac: first clinical experiences.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- S2V-DREME: a time-resolved slice-to-volume MR image reconstruction framework with dynamic reconstruction and motion estimation.Physics in medicine and biology · 2026Article
- MR-Guided Adaptive Radiotherapy in Lung Cancer: Current Landscape and Future Directions.Cancers · 2026Review
- Impact of daily volumetric imaging on target tracking without fiducial markers during robotic treatment of pancreas.Physics in medicine and biology · 2026Article
- Case Report: MR-guided adaptive stereotactic body radiotherapy for splenic metastases: a case series of technical feasibility and early clinical outcomes.Frontiers in oncology · 2026Article
- Real-time dose reconstruction and dose coverage forecasting using the magnetic resonance linear accelerator.Physics and imaging in radiation oncology · 2026Article
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5 authors.
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Abstract
There is a growing interest in the application of MRI-guided adaptive radiotherapy (MRIgART) to improve the treatment of lung tumors. Motion management plays a central role to better localize these tumors and minimize toxicities to surrounding healthy tissue. Elekta recently released their comprehensive motion management system for the Unity 1.5T MR-Linac, enabling real-time tracking and predictive gating using MR cine imaging during treatment. We report our first clinical experiences using this gating technology to treat patients with central lung tumors adjacent to critical structures on the Unity MR-Linac using both conventional and SBRT fractionations. A surrogate structure was tracked if the primary target could not be visualized. Beam gating was automatically performed if the system detected the target moving outside of the defined gating envelope, which was set as the planning target volume. Integrating this technology has profoundly impacted our MRIgART program; we have been able to treat challenging lung tumor patients with greater precision and have begun to reduce our PTV margins, leading to improved dose sparing of nearby critical structures.
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