Moving Forward in the Next Decade: Radiation Oncology Sciences for Patient-Centered Cancer Care.
JNCI Cancer Spectr
; 5(4)2021 08.
Article
em En
| MEDLINE
| ID: mdl-34350377
In a time of rapid advances in science and technology, the opportunities for radiation oncology are undergoing transformational change. The linkage between and understanding of the physical dose and induced biological perturbations are opening entirely new areas of application. The ability to define anatomic extent of disease and the elucidation of the biology of metastases has brought a key role for radiation oncology for treating metastatic disease. That radiation can stimulate and suppress subpopulations of the immune response makes radiation a key participant in cancer immunotherapy. Targeted radiopharmaceutical therapy delivers radiation systemically with radionuclides and carrier molecules selected for their physical, chemical, and biochemical properties. Radiation oncology usage of "big data" and machine learning and artificial intelligence adds the opportunity to markedly change the workflow for clinical practice while physically targeting and adapting radiation fields in real time. Future precision targeting requires multidimensional understanding of the imaging, underlying biology, and anatomical relationship among tissues for radiation as spatial and temporal "focused biology." Other means of energy delivery are available as are agents that can be activated by radiation with increasing ability to target treatments. With broad applicability of radiation in cancer treatment, radiation therapy is a necessity for effective cancer care, opening a career path for global health serving the medically underserved in geographically isolated populations as a substantial societal contribution addressing health disparities. Understanding risk and mitigation of radiation injury make it an important discipline for and beyond cancer care including energy policy, space exploration, national security, and global partnerships.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Pesquisa
/
Inteligência Artificial
/
Radioterapia (Especialidade)
/
Assistência Centrada no Paciente
/
Neoplasias
Idioma:
En
Revista:
JNCI Cancer Spectr
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Estados Unidos