Rights statement: This is the peer reviewed version of the following article: Lin K-M, Ehrgott M. Multiobjective navigation of external radiotherapy plans based on clinical criteria. J Multi-Crit Decis Anal. 2018;25:31–41. https://doi.org/10.1002/mcda.1628 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/mcda.1628/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Multiobjective navigation of external radiotherapy plans based on clinical criteria
AU - Lin, Kuan-Min
AU - Ehrgott, Matthias
N1 - This is the peer reviewed version of the following article: Lin K-M, Ehrgott M. Multiobjective navigation of external radiotherapy plans based on clinical criteria. J Multi-Crit Decis Anal. 2018;25:31–41. https://doi.org/10.1002/mcda.1628 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/mcda.1628/abstract This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
PY - 2018/1
Y1 - 2018/1
N2 - This study considers a navigation method for finding the most preferable radiotherapy plan from a discrete set using planner-defined clinical criteria. The method is based on repeatedly solving an optimisation model to identify a plan that best satisfies the aspiration values set by the planner. During navigation, the planner iteratively adjusts the aspiration values to match the preference information learned from previous plans until the most preferable plan is identified. The use of soft constraints to model aspiration values enables navigation among a discrete set and allows the planner to freely specify the aspiration values without producing an infeasible model. We demonstrate the use of the model by applying it to a prostate cancer case. This illustrates that improvements in optimisation criteria do not necessarily lead to improvements in clinical criteria. Hence the method obviates the need to simultaneously monitor both optimisation and clinical criteria in current navigation systems. Instead, the direct use of clinical criteria for navigation aids the planner to quickly identify the most preferable plan.
AB - This study considers a navigation method for finding the most preferable radiotherapy plan from a discrete set using planner-defined clinical criteria. The method is based on repeatedly solving an optimisation model to identify a plan that best satisfies the aspiration values set by the planner. During navigation, the planner iteratively adjusts the aspiration values to match the preference information learned from previous plans until the most preferable plan is identified. The use of soft constraints to model aspiration values enables navigation among a discrete set and allows the planner to freely specify the aspiration values without producing an infeasible model. We demonstrate the use of the model by applying it to a prostate cancer case. This illustrates that improvements in optimisation criteria do not necessarily lead to improvements in clinical criteria. Hence the method obviates the need to simultaneously monitor both optimisation and clinical criteria in current navigation systems. Instead, the direct use of clinical criteria for navigation aids the planner to quickly identify the most preferable plan.
U2 - 10.1002/mcda.1628
DO - 10.1002/mcda.1628
M3 - Journal article
VL - 25
SP - 31
EP - 41
JO - Journal of Multi-Criteria Decision Analysis
JF - Journal of Multi-Criteria Decision Analysis
SN - 1057-9214
IS - 1-2
ER -