Daniel A. Low , B. Gino Fallone , Bas W. Raaymakers
{"title":"MRI-Guided Radiation Therapy Systems","authors":"Daniel A. Low , B. Gino Fallone , Bas W. Raaymakers","doi":"10.1016/j.semradonc.2023.10.009","DOIUrl":"10.1016/j.semradonc.2023.10.009","url":null,"abstract":"<div><p>MR-Guided Radiation Therapy<span> (MRIgRT) has been made possible only due to the ingenuity and commitment of commercial radiation therapy system vendors. Unlike conventional linear accelerator<span> systems, MRIgRT systems have had to overcome significant and previously untested techniques to integrate the MRI systems with the radiation therapy delivery systems. Each of these three commercial systems has developed different approaches to integrating their MR and Linac functions. Each has also decided on a different main magnetic field strength, from 0.35T to 1.5T, as well as different design philosophies for other systems, such as the patient support assembly and treatment planning workflow. This paper is intended to provide the reader with a detailed understanding of each system's configuration so that the reader can better interpret the scientific literature concerning these commercial MRIgRT systems.</span></span></p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138692037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lois A. Daamen , Parag J. Parikh , William A. Hall
{"title":"The Use of MR-Guided Radiation Therapy for Pancreatic Cancer","authors":"Lois A. Daamen , Parag J. Parikh , William A. Hall","doi":"10.1016/j.semradonc.2023.10.002","DOIUrl":"10.1016/j.semradonc.2023.10.002","url":null,"abstract":"<div><p><span><span>The introduction of online adaptive magnetic resonance (MR)-guided radiation therapy<span><span> (RT) has enabled safe treatment of </span>pancreatic cancer with ablative doses. The aim of this review is to provide a comprehensive overview of the current literature on the use and clinical outcomes of MR-guided RT for treatment of pancreatic cancer. Relevant outcomes included toxicity, tumor response, survival and </span></span>quality of life<span>. The results of these studies support further investigation of the effectiveness of ablative MR-guided SBRT as a low-toxic, minimally-invasive therapy for localized pancreatic cancer in prospective </span></span>clinical trials.</p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138714411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MRgRT Quality Assurance for a Low-Field MR-Linac","authors":"Joshua P. Kim","doi":"10.1016/j.semradonc.2023.10.012","DOIUrl":"10.1016/j.semradonc.2023.10.012","url":null,"abstract":"<div><p><span><span>The introduction of MR-guided treatment machines into the </span>radiation oncology clinic has provided unique challenges for the </span>radiotherapy<span> QA program. These MR-linac systems require that existing QA procedures be adapted to verify linac performance within the magnetic field environment and that new procedures be added to ensure acceptable image quality for the MR system. While both high and low-field MR-linac options exist, this chapter is intended to provide a structure for implementing a QA program within the low-field MR environment. This review is divided into three sections. The first section focuses on machine QA tasks including mechanical and dosimetric verification. The second section is concentrated on the procedures implemented for imaging QA. Finally, the last section covers patient specific QA tasks including special considerations related to the performance of patient specific QA within the framework of online adaptive radiotherapy.</span></p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138714412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Petra J. van Houdt , Shaolei Li , Yingli Yang , Uulke A. van der Heide
{"title":"Quantitative MRI on MR-Linacs: Towards Biological Image-Guided Adaptive Radiotherapy","authors":"Petra J. van Houdt , Shaolei Li , Yingli Yang , Uulke A. van der Heide","doi":"10.1016/j.semradonc.2023.10.010","DOIUrl":"10.1016/j.semradonc.2023.10.010","url":null,"abstract":"<div><p>Recognizing the potential of quantitative imaging<span> biomarkers (QIBs) in radiotherapy<span><span>, many studies have investigated the prognostic value of quantitative MRI (qMRI). With the introduction of MRI-guided </span>radiotherapy systems<span><span>, the practical challenges of repeated imaging have been substantially reduced. Since patients are treated inside an MRI scanner, acquisition of qMRI can be done during each fraction with limited or no prolongation of the fraction duration. In this review paper, we identify the steps that need been taken to move from MR as an </span>imaging technique to a useful biomarker for MRI-guided radiotherapy (MRgRT).</span></span></span></p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138714580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Travis Courtney , Luca F. Valle , Ann C. Raldow, Michael L. Steinberg
{"title":"MRI-Guided Radiation Therapy—An Emerging and Disruptive Process of Care: Healthcare Economic and Policy Considerations","authors":"P. Travis Courtney , Luca F. Valle , Ann C. Raldow, Michael L. Steinberg","doi":"10.1016/j.semradonc.2023.10.014","DOIUrl":"10.1016/j.semradonc.2023.10.014","url":null,"abstract":"<div><p>MRI-guided radiation therapy<span> (MRgRT) is an emerging, innovative technology that provides opportunities to transform and improve the current clinical care process in radiation oncology. As with many new technologies in radiation oncology, careful evaluation from a healthcare economic and policy perspective is required for its successful implementation. In this review article, we describe the current evidence surrounding MRgRT, framing it within the context of value within the healthcare system. Additionally, we highlight areas in which MRgRT may disrupt the current process of care, and discuss the evidence thresholds and timeline required for the widespread adoption of this promising technology.</span></p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138692569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthias Guckenberger , Nicolaus Andratschke , Caroline Chung , Dave Fuller , Stephanie Tanadini-Lang , David A. Jaffray
{"title":"The Future of MR-Guided Radiation Therapy","authors":"Matthias Guckenberger , Nicolaus Andratschke , Caroline Chung , Dave Fuller , Stephanie Tanadini-Lang , David A. Jaffray","doi":"10.1016/j.semradonc.2023.10.015","DOIUrl":"https://doi.org/10.1016/j.semradonc.2023.10.015","url":null,"abstract":"<div><p>Magnetic resonance image guided radiation therapy (MRIgRT) is a relatively new technology that has already shown outcomes benefits but that has not yet reached its clinical potential. The improved soft-tissue contrast provided with MR, coupled with the immediacy of image acquisition with respect to the treatment, enables expansion of on-table adaptive protocols, currently at a cost of increased treatment complexity, use of human resources, and longer treatment slot times, which translate to decreased throughput. Many approaches are being investigated to meet these challenges, including the development of artificial intelligence (AI) algorithms to accelerate and automate much of the workflow and improved technology that parallelizes workflow tasks, as well as improvements in image acquisition speed and quality. This article summarizes limitations of current available integrated MRIgRT systems and gives an outlook about scientific developments to further expand the use of MRIgRT.</p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S105342962300070X/pdfft?md5=89723f1d87463930cda31649861140f7&pid=1-s2.0-S105342962300070X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138739187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Martin F. Fast , Minsong Cao , Parag Parikh , Jan-Jakob Sonke
{"title":"Intrafraction Motion Management With MR-Guided Radiation Therapy","authors":"Martin F. Fast , Minsong Cao , Parag Parikh , Jan-Jakob Sonke","doi":"10.1016/j.semradonc.2023.10.008","DOIUrl":"10.1016/j.semradonc.2023.10.008","url":null,"abstract":"<div><p>High quality radiation therapy<span><span><span> requires highly accurate and precise dose delivery. MR-guided radiotherapy (MRgRT), integrating an MRI scanner with a </span>linear accelerator<span><span>, offers excellent quality images in the treatment room without subjecting patient to </span>ionizing radiation<span>. MRgRT therefore provides a powerful tool for intrafraction motion management. This paper summarizes different sources of intrafraction motion for different disease sites and describes the MR imaging techniques available to visualize and quantify intrafraction motion. It provides an overview of MR guided motion management strategies and of the current technical capabilities of the commercially available </span></span></span>MRgRT systems<span>. It describes how these motion management capabilities are currently being used in clinical studies, protocols and provides a future outlook.</span></span></p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138692033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Trudy C. Wu , Lauren M. Smith , David Woolf , Corinne Faivre-Finn , Percy Lee
{"title":"Exploring the Advantages and Challenges of MR-Guided Radiotherapy in Non–Small-Cell Lung Cancer: Who are the Optimal Candidates?","authors":"Trudy C. Wu , Lauren M. Smith , David Woolf , Corinne Faivre-Finn , Percy Lee","doi":"10.1016/j.semradonc.2023.10.007","DOIUrl":"10.1016/j.semradonc.2023.10.007","url":null,"abstract":"<div><p>The landscape of lung radiotherapy<span><span><span> (RT) has rapidly evolved over the past decade with modern RT and surgical techniques, systemic therapies, and expanding indications for RT. To date, 2 MRI-guided RT (MRgRT) units, 1 using a 0.35T magnet and 1 using a 1.5T magnet, are available for commercial use with more systems in the pipeline. MRgRT offers distinct advantages such as real-time target tracking, margin reduction, and on-table treatment adaptation, which may help overcome many of the common challenges associated with thoracic RT. Nonetheless, the use of </span>MRI for </span>image guidance and the current MRgRT units also have intrinsic limitations. In this review article, we will discuss clinical experiences to date, advantages, challenges, and future directions of MRgRT to the lung.</span></p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138692462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hans Lynggaard Riis , Joan Chick , Alex Dunlop , David Tilly
{"title":"The Quality Assurance of a 1.5 T MR-Linac","authors":"Hans Lynggaard Riis , Joan Chick , Alex Dunlop , David Tilly","doi":"10.1016/j.semradonc.2023.10.011","DOIUrl":"https://doi.org/10.1016/j.semradonc.2023.10.011","url":null,"abstract":"<div><p>The recent introduction of a commercial 1.5 T MR-linac system has considerably improved the image quality of the patient acquired in the treatment unit as well as enabling online adaptive radiation therapy (oART) treatment strategies. Quality Assurance (QA) of this new technology requires new methodology that allows for the high field MR in a linac environment. The presence of the magnetic field requires special attention to the phantoms, detectors, and tools to perform QA. Due to the design of the system, the integrated megavoltage imager (MVI) is essential for radiation beam calibrations and QA. Additionally, the alignment between the MR image system and the radiation isocenter must be checked. The MR-linac system has vendor-supplied phantoms for calibration and QA tests. However, users have developed their own routine QA systems to independently check that the machine is performing as required, as to ensure we are able to deliver the intended dose with sufficient certainty. The aim of this work is therefore to review the MR-linac specific QA procedures reported in the literature.</p></div>","PeriodicalId":49542,"journal":{"name":"Seminars in Radiation Oncology","volume":null,"pages":null},"PeriodicalIF":3.5,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1053429623000668/pdfft?md5=02fca5601daf826c0cd75a54beaccb2e&pid=1-s2.0-S1053429623000668-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138739186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}