A Knowledge-Light Nonlinear Case-Based Reasoning Approach to Radiotherapy Planning

Nishikant Mishra, Sanja Petrovic, Santhanam Sundar

Research output: Contribution to conferenceOtherpeer-review

6 Citations (SciVal)

Abstract

Radiation is often used in prostate cancer treatments. Radiotherapy treatment planning is a complex decision making process. In order to make a patient well, the oncologist has to make a trade-off between the benefit of radiation i.e. delivering a high enough dose to fight the cancer cells, and risk that refers to the side effects of the treatment. In this research, a case based reasoning system is developed for dose planning in prostate cancer treatment. A case similar to the new patient is retrieved. An adaptation of the suggested plan is performed taking into account trade-offs made in the past to determine the extent to which the maximum dose limits of the new patient (case) can be violated. The performance of the proposed method is validated on the real data sets obtained from the City Hospital Nottingham, University Hospital, NHS Trust, UK.
Original languageEnglish
Pages776-783
Number of pages8
DOIs
Publication statusPublished - Nov 2009
Event2009 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI) - Newark, New Jersey, USA, United Kingdom of Great Britain and Northern Ireland
Duration: 02 Nov 200904 Nov 2009

Conference

Conference2009 21st IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
Country/TerritoryUnited Kingdom of Great Britain and Northern Ireland
Period02 Nov 200904 Nov 2009

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