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How Advances in Imaging Will Affect Precision Radiation Oncology.
Jaffray, David A; Das, Shiva; Jacobs, Paula M; Jeraj, Robert; Lambin, Philippe.
Afiliação
  • Jaffray DA; Department of Medical Physics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada. Electronic address: david.jaffray@rmp.uhn.on.ca.
  • Das S; Department of Medical Physics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
  • Jacobs PM; Department of Medical Physics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; National Institutes of Health, National Cancer Institute, Bethesda, Maryland.
  • Jeraj R; Department of Medical Physics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada.
  • Lambin P; The D-Lab: Decision Support for Precision Medicine, GROW -School for Oncology, Maastricht University Medical Centre+, Maastricht, the Netherlands.
Int J Radiat Oncol Biol Phys ; 101(2): 292-298, 2018 06 01.
Article em En | MEDLINE | ID: mdl-29726358
ABSTRACT
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).
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radioterapia (Especialidade) / Medicina de Precisão / Radioterapia Guiada por Imagem / Neoplasias Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Radioterapia (Especialidade) / Medicina de Precisão / Radioterapia Guiada por Imagem / Neoplasias Idioma: En Ano de publicação: 2018 Tipo de documento: Article