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本文引用的文献

1
The Future of Image-guided Radiotherapy.图像引导放射治疗的未来。
Clin Oncol (R Coll Radiol). 2017 Oct;29(10):662-666. doi: 10.1016/j.clon.2017.04.036. Epub 2017 May 13.
2
The future of image-guided radiotherapy will be MR guided.图像引导放射治疗的未来将是磁共振引导的。
Br J Radiol. 2017 May;90(1073):20160667. doi: 10.1259/bjr.20160667. Epub 2017 Mar 29.
3
Imaging biomarker roadmap for cancer studies.癌症研究的影像生物标志物路线图。
Nat Rev Clin Oncol. 2017 Mar;14(3):169-186. doi: 10.1038/nrclinonc.2016.162. Epub 2016 Oct 11.
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CT image biomarkers to improve patient-specific prediction of radiation-induced xerostomia and sticky saliva.CT 图像生物标志物可改善放射诱导性口干和粘性唾液的患者特异性预测。
Radiother Oncol. 2017 Feb;122(2):185-191. doi: 10.1016/j.radonc.2016.07.007. Epub 2016 Jul 25.
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Value-Based Cancer Care.基于价值的癌症护理。
N Engl J Med. 2015 Dec 31;373(27):2593-5. doi: 10.1056/NEJMp1508387. Epub 2015 Nov 18.
6
Expanding global access to radiotherapy.扩大全球放射治疗可及性。
Lancet Oncol. 2015 Sep;16(10):1153-86. doi: 10.1016/S1470-2045(15)00222-3.
7
Identifying patients who may benefit from adaptive radiotherapy: Does the literature on anatomic and dosimetric changes in head and neck organs at risk during radiotherapy provide information to help?识别可能受益于自适应放疗的患者:头颈部放疗中危及器官的解剖和剂量学改变的文献是否提供了有助于指导的信息?
Radiother Oncol. 2015 Jun;115(3):285-94. doi: 10.1016/j.radonc.2015.05.018. Epub 2015 Jun 17.
8
A systematic review of radiotherapy capacity in low- and middle-income countries.低收入和中等收入国家放射治疗能力的系统评价。
Front Oncol. 2015 Jan 22;4:380. doi: 10.3389/fonc.2014.00380. eCollection 2014.
9
Accurate accumulation of dose for improved understanding of radiation effects in normal tissue.准确积累剂量以更好地了解正常组织中的辐射效应。
Int J Radiat Oncol Biol Phys. 2010 Mar 1;76(3 Suppl):S135-9. doi: 10.1016/j.ijrobp.2009.06.093.
10
Dose optimization for the MRI-accelerator: IMRT in the presence of a magnetic field.MRI加速器的剂量优化:磁场存在下的调强放射治疗
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图像引导放射治疗的未来——图像就是一切吗?

The future of image-guided radiotherapy-is image everything?

作者信息

Noble David J, Burnet Neil G

机构信息

1 Department of Oncology, Cancer Research UK VoxTox Research Group, University of Cambridge, Cambridge Biomedical Campus, Addenbrooke's Hospital , Cambridge , UK.

2 Department of Oncology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust , Cambridge , UK.

出版信息

Br J Radiol. 2018 Jul;91(1087):20170894. doi: 10.1259/bjr.20170894. Epub 2018 May 17.

DOI:10.1259/bjr.20170894
PMID:29616822
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6221761/
Abstract

MR-based image-guided (IG) radiotherapy via all-in-one MR treatment units (MR-linacs) is one of the hottest topics in contemporary radiotherapy research. From ingenious engineering solutions to complex physical problems, researchers have developed machines with the promise of superior image quality, and all the advantages this may confer. Benefits include better tumour visualisation, online adaptation and the potential for image biomarker-based personalised RT. However, it is important to remember that the technical challenges are real. In many instances, they are skillfully managed rather than abolished, a point illustrated by the wide variety of MR-linac designs. The proposed benefits also deserve careful inspection. Better visibility of the primary tumour on an IG scan cannot be bad, but does not automatically equate to better IG, which often depends on a more generalised match to daily anatomy. MR-linac will undoubtedly be a rich milieu to search for IMBs, but these will need to be carefully validated, and similar work with CT-based biomarkers using existing, cheaper, and more widely available hardware is currently ongoing. Online adaptation is an attractive concept, but practicalities are complex, and more work is required to understand which patients will benefit from plan adaptation, and when. Finally, the issue of cost cannot be overlooked, nor can the research community's responsibilities to global healthcare inequalities. MR-linac is an exciting and ingenious technology, which merits both investment and research. It may not, however, have the future to itself.

摘要

通过一体化磁共振治疗设备(磁共振直线加速器)进行基于磁共振成像引导(IG)的放射治疗是当代放射治疗研究中最热门的话题之一。从巧妙的工程解决方案到复杂的物理问题,研究人员开发出了有望提供卓越图像质量以及由此可能带来的所有优势的设备。其优势包括更好的肿瘤可视化、在线自适应以及基于图像生物标志物的个性化放疗的潜力。然而,必须记住技术挑战是实实在在存在的。在许多情况下,这些挑战是得到了巧妙应对而非消除,这一点从各种各样的磁共振直线加速器设计中就可以看出来。所宣称的优势也值得仔细审视。在IG扫描中原发肿瘤的更好可视性固然不错,但这并不自动等同于更好的IG,而IG往往取决于与日常解剖结构更普遍的匹配。磁共振直线加速器无疑将是寻找影像组学标志物(IMB)的丰富环境,但这些标志物需要仔细验证,而且目前正在使用现有的、更便宜且更广泛可用的硬件开展基于CT生物标志物的类似工作。在线自适应是一个有吸引力的概念,但实际操作很复杂,还需要开展更多工作来了解哪些患者将从计划自适应中获益以及何时获益。最后,成本问题不能被忽视,研究界对全球医疗保健不平等问题所肩负的责任也不能被忽视。磁共振直线加速器是一项令人兴奋且巧妙的技术,值得投资和研究。然而,它可能并非独领未来。