Bi-objective optimization of catheter positions for high-dose-rate prostate brachytherapy

被引:7
|
作者
van der Meer, Marjolein C. [1 ]
Bosman, Peter A. N. [2 ]
Niatsetski, Yury [3 ]
Alderliesten, Tanja [4 ]
van Wieringen, Niek [1 ]
Pieters, Bradley R. [1 ]
Bel, Arjan [1 ]
机构
[1] Univ Amsterdam, Amsterdam UMC, Dept Radiat Oncol, NL-1100 DD Amsterdam, Netherlands
[2] Ctr Wiskunde & Informat, Life Sci & Hlth Res Grp, NL-1098 XG Amsterdam, Netherlands
[3] Elekta, Phys & Adv Dev, NL-3900 AX Veenendaal, Netherlands
[4] Leiden Univ, Med Ctr, Dept Radiat Oncol, NL-2300 RC Leiden, Netherlands
关键词
bi-objective optimization; catheter positions; HDR brachytherapy; prostate neoplasms; treatment planning; HDR-BRACHYTHERAPY; ALGORITHMS;
D O I
10.1002/mp.14505
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose Bi-objective simultaneous optimization of catheter positions and dwell times for high-dose-rate (HDR) prostate brachytherapy, based directly on dose-volume indices, has shown promising results. However, optimization with the state-of-the-art evolutionary algorithm MO-RV-GOMEA so far required several hours of runtime, and resulting catheter positions were not always clinically feasible. The aim of this study is to extend the optimization model and apply GPU parallelization to achieve clinically acceptable computation times. The resulting optimization procedure is compared with a previously introduced method based solely on geometric criteria, the adapted Centroidal Voronoi Tessellations (CVT) algorithm. Methods Bi-objective simultaneous optimization was performed with a GPU-parallelized version of MO-RV-GOMEA. This optimization of catheter positions and dwell times was retrospectively applied to the data of 26 patients previously treated with HDR prostate brachytherapy for 8-16 catheters (steps of 2). Optimization of catheter positions using CVT was performed in seconds, after which optimization of only the dwell times using MO-RV-GOMEA was performed in 1 min. Results Simultaneous optimization of catheter positions and dwell times using MO-RV-GOMEA was performed in 5 min. For 16 down to 8 catheters (steps of 2), MO-RV-GOMEA found plans satisfying the planning-aims for 20, 20, 18, 14, and 11 out of the 26 patients, respectively. CVT achieved this for 19, 17, 13, 9, and 2 patients, respectively. TheP-value for the difference between MO-RV-GOMEA and CVT was 0.023 for 16 catheters, 0.005 for 14 catheters, and <0.001 for 12, 10, and 8 catheters. Conclusions With bi-objective simultaneous optimization on a GPU, high-quality catheter positions can now be obtained within 5 min, which is clinically acceptable, but slower than CVT. For 16 catheters, the difference between MO-RV-GOMEA and CVT is clinically irrelevant. For 14 catheters and less, MO-RV-GOMEA outperforms CVT in finding plans satisfying all planning-aims.
引用
收藏
页码:6077 / 6086
页数:10
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