 Integrating Data Envelopment Analysis into radiotherapy treatment planning for head and neck cancer patientsAndrea Raith, Matthias Ehrgott, Fariza Fauzi, Kuan-Min Lin, Andrew Macann, Paul Rouse and John Simpson European Journal of Operational Research, 2022, vol. 296, issue 1, 289-303 Abstract: Radiotherapy treatment (RT) irradiates a patient's tumour volume while minimising damage to healthy tissue and surrounding critical organs at risk (OAR). In the conventional RT planning process, the RT planner has to iteratively adjust either the planning objectives (tumour or OAR dose levels) or the weights of the planning objectives until an acceptable plan is obtained that satisfies the minimum requirements. At the end of this iterative process, it remains unknown whether this plan is the best that can be obtained for the patient. The oncologist reviews each plan and decides to either treat using this plan or request further plan development, which may or may not lead to an actual improvement of the reviewed plan. Keywords: Data Envelopment Analysis; Radiotherapy treatment planning; Decision support; Quality control (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:296:y:2022:i:1:p:289-303 DOI: 10.1016/j.ejor.2021.04.007 Access Statistics for this article European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati More articles in European Journal of Operational Research from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.