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      Technical Challenges of Real-Time Adaptive MR-Guided Radiotherapy

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          Abstract

          In the past few years, radiotherapy (RT) has experienced a major technological innovation with the development of hybrid machines combining magnetic resonance (MR) imaging and linear accelerators. This new technology for MR-guided cancer treatment has the potential to revolutionize the field of adaptive RT due to the opportunity to provide high-resolution, real-time MR imaging before and during treatment application. However, from a technical point of view, several challenges remain which need to be tackled to ensure safe and robust real-time adaptive MR-guided RT delivery. In this manuscript, several technical challenges to MR-guided RT are discussed. Starting with magnetic field strength tradeoffs, the potential and limitations for purely MR-based RT workflows are discussed. Furthermore, the current status of real-time 3D MR imaging and its potential for real-time RT are summarized. Finally, the potential of quantitative MR imaging for future biological RT adaptation is highlighted.

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          Most cited references82

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          Task Group 142 report: quality assurance of medical accelerators.

          The task group (TG) for quality assurance of medical accelerators was constituted by the American Association of Physicists in Medicine's Science Council under the direction of the Radiation Therapy Committee and the Quality Assurance and Outcome Improvement Subcommittee. The task group (TG-142) had two main charges. First to update, as needed, recommendations of Table II of the AAPM TG-40 report on quality assurance and second, to add recommendations for asymmetric jaws, multileaf collimation (MLC), and dynamic/virtual wedges. The TG accomplished the update to TG-40, specifying new test and tolerances, and has added recommendations for not only the new ancillary delivery technologies but also for imaging devices that are part of the linear accelerator. The imaging devices include x-ray imaging, photon portal imaging, and cone-beam CT. The TG report was designed to account for the types of treatments delivered with the particular machine. For example, machines that are used for radiosurgery treatments or intensity-modulated radiotherapy (IMRT) require different tests and/or tolerances. There are specific recommendations for MLC quality assurance for machines performing IMRT. The report also gives recommendations as to action levels for the physicists to implement particular actions, whether they are inspection, scheduled action, or immediate and corrective action. The report is geared to be flexible for the physicist to customize the QA program depending on clinical utility. There are specific tables according to daily, monthly, and annual reviews, along with unique tables for wedge systems, MLC, and imaging checks. The report also gives specific recommendations regarding setup of a QA program by the physicist in regards to building a QA team, establishing procedures, training of personnel, documentation, and end-to-end system checks. The tabulated items of this report have been considerably expanded as compared with the original TG-40 report and the recommended tolerances accommodate differences in the intended use of the machine functionality (non-IMRT, IMRT, and stereotactic delivery).
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            Errors and margins in radiotherapy.

            Clinical radiotherapy procedures aim at high accuracy. However, there are many error sources that act during treatment preparation and execution that limit the accuracy. As a consequence, a safety margin is required to ensure that the planned dose is actually delivered to the target for (almost) all patients. Before treatment planning, a planning computed tomography scan is made. In particular, motion of skin with respect to the internal anatomy limits the reproducibility of this step, introducing a systematic setup error. The second important error source is organ motion. The tumor is imaged in an arbitrary position, leading to a systematic organ motion error. The image may also be distorted because of the interference of the scanning process and organ motion. A further systematic error introduced during treatment planning is caused by the delineation process. During treatment, the most important errors are setup error and organ motion leading to day-to-day variations. There are many ways to define the margins required for these errors. In this article, an overview is given of errors in radiotherapy and margin recipes, based on physical and biological considerations. Respiration motion is treated separately.
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              Adaptive radiotherapy: The Elekta Unity MR-linac concept

              Highlights • The Elekta Unity MR-linac adaptive radiotherapy concept is explained. • The adapt to shape and adapt to position workflows are compared. • Different methods for dose re-calculation and optimization are discussed. • Full online re-planning is the most robust adaptive planning method for the Unity. • Faster methods are available, but should be dosimetrically explored per use case.
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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                08 March 2021
                2021
                : 11
                : 634507
                Affiliations
                [1] 1Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen , Tübingen, Germany
                [2] 2Department of Radiation Oncology, University of California, Los Angeles , Los Angeles, CA, United States
                Author notes

                Edited by: Linda G.W. Kerkmeijer, Radboud University Nijmegen Medical Centre, Netherlands

                Reviewed by: X. Allen Li, Medical College of Wisconsin, United States; Dimitre Hristov, Stanford University, United States

                *Correspondence: Daniela Thorwarth, daniela.thorwarth@ 123456med.uni-tuebingen.de

                This article was submitted to Radiation Oncology, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2021.634507
                7982516
                33763369
                2dc03b96-9b3f-4d91-8ee9-a812c5c4a6c1
                Copyright © 2021 Thorwarth and Low

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 November 2020
                : 26 January 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 84, Pages: 7, Words: 3335
                Funding
                Funded by: Deutsche Forschungsgemeinschaft 10.13039/501100001659
                Award ID: ZI 736/2-1
                Categories
                Oncology
                Mini Review

                Oncology & Radiotherapy
                mr-linac,mr-guided radiotherapy,biologically adaptive radiotherapy,mr-only radiotherapy,online adaptive radiotherapy,real-time adaptive radiotherapy

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