Department of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University, Atlanta, Georgia.
Department of Radiation Oncology, Winship Cancer Institute of Emory University, Emory University, Atlanta, Georgia.
Int J Radiat Oncol Biol Phys. 2018 Nov 15;102(4):1219-1235. doi: 10.1016/j.ijrobp.2018.06.023. Epub 2018 Jun 30.
Modern radiation therapy is delivered with great precision, in part by relying on high-resolution multidimensional anatomic imaging to define targets in space and time. The development of quantitative imaging (QI) modalities capable of monitoring biologic parameters could provide deeper insight into tumor biology and facilitate more personalized clinical decision-making. The Quantitative Imaging Network (QIN) was established by the National Cancer Institute to advance and validate these QI modalities in the context of oncology clinical trials. In particular, the QIN has significant interest in the application of QI to widen the therapeutic window of radiation therapy. QI modalities have great promise in radiation oncology and will help address significant clinical needs, including finer prognostication, more specific target delineation, reduction of normal tissue toxicity, identification of radioresistant disease, and clearer interpretation of treatment response. Patient-specific QI is being incorporated into radiation treatment design in ways such as dose escalation and adaptive replanning, with the intent of improving outcomes while lessening treatment morbidities. This review discusses the current vision of the QIN, current areas of investigation, and how the QIN hopes to enhance the integration of QI into the practice of radiation oncology.
现代放射治疗具有很高的精度,部分原因是依靠高分辨率多维解剖成像来定义时空靶点。能够监测生物参数的定量成像(QI)方式的发展,可以深入了解肿瘤生物学,并促进更个性化的临床决策。国家癌症研究所(National Cancer Institute)成立了定量成像网络(Quantitative Imaging Network,QIN),旨在推进和验证这些 QI 方式在肿瘤临床试验中的应用。特别是,QIN 非常关注将 QI 应用于扩大放射治疗的治疗窗口。QI 方式在放射肿瘤学中有很大的应用前景,并将有助于解决重大的临床需求,包括更精细的预后、更精确的靶区勾画、减少正常组织毒性、识别放射性耐药疾病,以及更清晰地解释治疗反应。正在以剂量升级和自适应重计划等方式将患者特异性 QI 纳入放射治疗设计中,旨在提高治疗效果,同时减少治疗的发病率。本文讨论了 QIN 的当前愿景、当前研究领域,以及 QIN 如何希望加强 QI 与放射肿瘤学实践的整合。