Development and clinical introduction of automated radiotherapy treatment planning for prostate cancer

Publication date

2016-11-23

Authors

Winkel, D
Bol, G HORCID 0000-0002-7393-167XISNI 0000000392489626
van Asselen, BISNI 0000000391220676
Hes, J
Scholten, V
Kerkmeijer, Linda G WISNI 0000000393809169
Raaymakers, BasORCID 0000-0002-8036-6808ISNI 0000000392005337

Editors

Advisors

Supervisors

Document Type

Article

Collections

Open Access logo

License

taverne

Abstract

To develop an automated radiotherapy treatment planning and optimization workflow to efficiently create patient specifically optimized clinical grade treatment plans for prostate cancer and to implement it in clinical practice. A two-phased planning and optimization workflow was developed to automatically generate 77Gy 5-field simultaneously integrated boost intensity modulated radiation therapy (SIB-IMRT) plans for prostate cancer treatment. A retrospective planning study (n  =  100) was performed in which automatically and manually generated treatment plans were compared. A clinical pilot (n  =  21) was performed to investigate the usability of our method. Operator time for the planning process was reduced to  <5 min. The retrospective planning study showed that 98 plans met all clinical constraints. Significant improvements were made in the volume receiving 72Gy (V72Gy) for the bladder and rectum and the mean dose of the bladder and the body. A reduced plan variance was observed. During the clinical pilot 20 automatically generated plans met all constraints and 17 plans were selected for treatment. The automated radiotherapy treatment planning and optimization workflow is capable of efficiently generating patient specifically optimized and improved clinical grade plans. It has now been adopted as the current standard workflow in our clinic to generate treatment plans for prostate cancer.

Keywords

Taverne, Journal Article

Citation

Winkel, D, Bol, G H, van Asselen, B, Hes, J, Scholten, V, Kerkmeijer, L G W & Raaymakers, B W 2016, 'Development and clinical introduction of automated radiotherapy treatment planning for prostate cancer', Physics in Medicine and Biology, vol. 61, no. 24, pp. 8587-8595. https://doi.org/10.1088/1361-6560/61/24/8587