TY - JOUR
T1 - Automated Radiation Treatment Planning for Cervical Cancer
AU - Rhee, Dong Joo
AU - Jhingran, Anuja
AU - Kisling, Kelly
AU - Cardenas, Carlos
AU - Simonds, Hannah
AU - Court, Laurence
N1 - Funding Information:
This work was supported by National Institutes of Health / National Cancer Institute grants UH2-CA202665 , UH3-CA202665 , and P30CA016672 (Clinical Trials Support Resource).
Publisher Copyright:
© 2020 The Author(s)
PY - 2020/10
Y1 - 2020/10
N2 - The radiation treatment-planning process includes contouring, planning, and reviewing the final plan, and each component requires substantial time and effort from multiple experts. Automation of treatment planning can save time and reduce the cost of radiation treatment, and potentially provides more consistent and better quality plans. With the recent breakthroughs in computer hardware and artificial intelligence technology, automation methods for radiation treatment planning have achieved a clinically acceptable level of performance in general. At the same time, the automation process should be developed and evaluated independently for different disease sites and treatment techniques as they are unique from each other. In this article, we will discuss the current status of automated radiation treatment planning for cervical cancer for simple and complex plans and corresponding automated quality assurance methods. Furthermore, we will introduce Radiation Planning Assistant, a web-based system designed to fully automate treatment planning for cervical cancer and other treatment sites.
AB - The radiation treatment-planning process includes contouring, planning, and reviewing the final plan, and each component requires substantial time and effort from multiple experts. Automation of treatment planning can save time and reduce the cost of radiation treatment, and potentially provides more consistent and better quality plans. With the recent breakthroughs in computer hardware and artificial intelligence technology, automation methods for radiation treatment planning have achieved a clinically acceptable level of performance in general. At the same time, the automation process should be developed and evaluated independently for different disease sites and treatment techniques as they are unique from each other. In this article, we will discuss the current status of automated radiation treatment planning for cervical cancer for simple and complex plans and corresponding automated quality assurance methods. Furthermore, we will introduce Radiation Planning Assistant, a web-based system designed to fully automate treatment planning for cervical cancer and other treatment sites.
UR - http://www.scopus.com/inward/record.url?scp=85087041585&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85087041585&partnerID=8YFLogxK
U2 - 10.1016/j.semradonc.2020.05.006
DO - 10.1016/j.semradonc.2020.05.006
M3 - Review article
C2 - 32828389
AN - SCOPUS:85087041585
SN - 1053-4296
VL - 30
SP - 340
EP - 347
JO - Seminars in radiation oncology
JF - Seminars in radiation oncology
IS - 4
ER -