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首页> 外文期刊>International Journal of Radiation Oncology, Biology, Physics >How Advances in Imaging Will Affect Precision Radiation Oncology
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How Advances in Imaging Will Affect Precision Radiation Oncology

机译:成像的进步如何影响精密放射肿瘤学

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Radiation oncology is 1 of the most structured disciplines in medicine. It is of a highly technical nature with reliance on robotic systems to deliver intervention, engagement of diverse expertise, and early adoption of digital approaches to optimize and execute the application of this highly effective cancer treatment. As a localized intervention, the dependence on sensitive, specific, and accurate imaging to define the extent of disease, its heterogeneity, and adjacency to normal tissues directly affects the therapeutic ratio. Image-based in vivo temporal monitoring of the response to treatment enables adaptation and further affects the therapeutic ratio. Thus, more precise intervention will enable fractionation schedules that better interoperate with advances such as immunotherapy. In the data set-rich era that promises precision and personalized medicine, the radiation oncology field will integrate these new data into highly protocoled pathways of care that begin with multimodality prediction and enable patient-specific adaptation of therapy based on quantitative measures of the individual's dose-volume temporal trajectory and midtherapy predictions of response. In addition to advancements in computed tomography imaging, emerging technologies, such as ultra-high-field magnetic resonance and molecular imaging will bring new information to the design of treatments. Next-generation image guided radiation therapy systems will inject high specificity and sensitivity data and stimulate adaptive replanning. In addition, a myriad of pre- and peritherapeutic markers derived from advances in molecular pathology (eg, tumor genomics), automated and comprehensive imaging analytics (eg, radiomics, tumor microenvironment), and many other emerging biomarkers (eg, circulating tumor cell assays) will need to be integrated to maximize the benefit of radiation therapy for an individual patient. We present a perspective on the promise and challenges of fully exploiting imaging data in the pursuit of personalized radiation therapy, drawing from the presentations and broader discussions at the 2016 American Society of Therapeutic Radiation Oncology-National Cancer Institute workshop on Precision Medicine in Radiation Oncology (Bethesda, MD). (C) 2018 Published by Elsevier Inc.
机译:辐射肿瘤学是医学中最具结构化学科的1个。它具有高度技术性,依赖于机器人系统,以提供干预,进行多样化的专业知识,以及早期采用数字方法来优化和执行这种高效癌症治疗的应用。作为局部干预,对敏感,具体和准确成像的依赖性,以确定疾病程度,其异质性和对正常组织的邻接直接影响治疗比。基于图像的体内监测对治疗的响应能够适应并进一步影响治疗比率。因此,更精确的干预将使分级时间表更好地与免疫疗法等进步更好地互操作。在富有的数据集合时代,承诺精确和个性化的药物,放射肿瘤学领域将这些新数据集成到高度协议的护理路径中,以便基于个体剂量的定量测量实现患者特异性治疗的治疗-Volume颞轨迹和反应的中共预测。除了计算断层摄影成像的进步之外,出现的技术,例如超高原磁共振和分子成像将为治疗设计提供新信息。下一代图像引导辐射治疗系统将注入高特异性和敏感性数据并刺激自适应重新兴奋。此外,源自分子病理学(例如,肿瘤基因组学),自动化和综合成像分析(例如,覆散瘤,肿瘤微环境)和许多其他新出现的生物标志物(例如,循环肿瘤细胞测定的进程(例如,循环肿瘤细胞测定)的预先和截止胰岛素标记)需要集成,以最大限度地提高个体患者的放射治疗的益处。我们对追求个性化放射疗法的追求充分利用成像数据的承诺和挑战,从演示文稿和更广泛的讨论绘制了2016年美国治疗辐射肿瘤学 - 国家癌症研究所车间辐射肿瘤学的精密药学( Bethesda,MD)。 (c)2018由elsevier公司出版

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