Adaptive Objective Configuration in Bi-Objective Evolutionary
Optimization for Cervical Cancer Brachytherapy Treatment Planning
- URL: http://arxiv.org/abs/2203.08851v1
- Date: Wed, 16 Mar 2022 18:16:33 GMT
- Title: Adaptive Objective Configuration in Bi-Objective Evolutionary
Optimization for Cervical Cancer Brachytherapy Treatment Planning
- Authors: Leah R.M. Dickhoff, Ellen M. Kerkhof, Heloisa H. Deuzeman, Carien L.
Creutzberg, Tanja Alderliesten, Peter A.N. Bosman
- Abstract summary: We propose a novel adaptive objective configuration method to use with MO-RV-GOMEA.
We show how, for 10 patient cases, the new approach achieves the intended result properly taking into account the additional aims.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The Multi-Objective Real-Valued Gene-pool Optimal Mixing Evolutionary
Algorithm (MO-RV-GOMEA) has been proven effective and efficient in solving
real-world problems. A prime example is optimizing treatment plans for prostate
cancer brachytherapy, an internal form of radiation treatment, for which
equally important clinical aims from a base protocol are grouped into two
objectives and bi-objectively optimized. This use of MO-RV-GOMEA was recently
successfully introduced into clinical practice. Brachytherapy can also play an
important role in treating cervical cancer. However, using the same approach to
optimize treatment plans often does not immediately lead to clinically
desirable results. Concordantly, medical experts indicate that they use
additional aims beyond the cervix base protocol. Moreover, these aims have
different priorities and can be patient-specifically adjusted. For this reason,
we propose a novel adaptive objective configuration method to use with
MO-RV-GOMEA so that we can accommodate additional aims of this nature. Based on
results using only the base protocol, in consultation with medical experts, we
configured key additional aims. We show how, for 10 patient cases, the new
approach achieves the intended result, properly taking into account the
additional aims. Consequently, plans resulting from the new approach are
preferred by medical specialists in 8/10 cases.
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