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    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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Multiobjective navigation of external radiotherapy plans based on clinical criteria

Research output: Contribution to journalJournal article

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Multiobjective navigation of external radiotherapy plans based on clinical criteria. / Lin, Kuan-Min; Ehrgott, Matthias.

In: Journal of Multi-Criteria Decision Analysis, Vol. 25, No. 1-2, 01.2018, p. 31-41.

Research output: Contribution to journalJournal article

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Lin, Kuan-Min ; Ehrgott, Matthias. / Multiobjective navigation of external radiotherapy plans based on clinical criteria. In: Journal of Multi-Criteria Decision Analysis. 2018 ; Vol. 25, No. 1-2. pp. 31-41.

Bibtex

@article{1e836cdb98fb4fe09557466239611461,
title = "Multiobjective navigation of external radiotherapy plans based on clinical criteria",
abstract = "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. ",
author = "Kuan-Min Lin and Matthias Ehrgott",
note = "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.",
year = "2018",
month = jan
doi = "10.1002/mcda.1628",
language = "English",
volume = "25",
pages = "31--41",
journal = "Journal of Multi-Criteria Decision Analysis",
issn = "1057-9214",
publisher = "John Wiley and Sons Ltd",
number = "1-2",

}

RIS

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 -