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Title: Novel tools for stepping source brachytherapy treatment planning: Enhanced geometrical optimization and interactive inverse planning

Abstract

Purpose: Dose optimization for stepping source brachytherapy can nowadays be performed using automated inverse algorithms. Although much quicker than graphical optimization, an experienced treatment planner is required for both methods. With automated inverse algorithms, the procedure to achieve the desired dose distribution is often based on trial-and-error. Methods: A new approach for stepping source prostate brachytherapy treatment planning was developed as a quick and user-friendly alternative. This approach consists of the combined use of two novel tools: Enhanced geometrical optimization (EGO) and interactive inverse planning (IIP). EGO is an extended version of the common geometrical optimization method and is applied to create a dose distribution as homogeneous as possible. With the second tool, IIP, this dose distribution is tailored to a specific patient anatomy by interactively changing the highest and lowest dose on the contours. Results: The combined use of EGO–IIP was evaluated on 24 prostate cancer patients, by having an inexperienced user create treatment plans, compliant to clinical dose objectives. This user was able to create dose plans of 24 patients in an average time of 4.4 min/patient. An experienced treatment planner without extensive training in EGO–IIP also created 24 plans. The resulting dose-volume histogram parameters were comparable tomore » the clinical plans and showed high conformance to clinical standards. Conclusions: Even for an inexperienced user, treatment planning with EGO–IIP for stepping source prostate brachytherapy is feasible as an alternative to current optimization algorithms, offering speed, simplicity for the user, and local control of the dose levels.« less

Authors:
; ; ; ; ; ;  [1]
  1. Department of Radiation Oncology, Academic Medical Center Amsterdam, Meibergdreef 9, Amsterdam 1105 AZ (Netherlands)
Publication Date:
OSTI Identifier:
22413389
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 42; Journal Issue: 1; Other Information: (c) 2015 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; ALGORITHMS; ANATOMY; BRACHYTHERAPY; COMPARATIVE EVALUATIONS; NEOPLASMS; OPTIMIZATION; PATIENTS; PLANNING; PROSTATE; RADIATION DOSE DISTRIBUTIONS; TRAINING

Citation Formats

Dinkla, Anna M., E-mail: a.m.dinkla@amc.uva.nl, Laarse, Rob van der, Koedooder, Kees, Petra Kok, H., Wieringen, Niek van, Pieters, Bradley R., and Bel, Arjan. Novel tools for stepping source brachytherapy treatment planning: Enhanced geometrical optimization and interactive inverse planning. United States: N. p., 2015. Web. doi:10.1118/1.4904020.
Dinkla, Anna M., E-mail: a.m.dinkla@amc.uva.nl, Laarse, Rob van der, Koedooder, Kees, Petra Kok, H., Wieringen, Niek van, Pieters, Bradley R., & Bel, Arjan. Novel tools for stepping source brachytherapy treatment planning: Enhanced geometrical optimization and interactive inverse planning. United States. doi:10.1118/1.4904020.
Dinkla, Anna M., E-mail: a.m.dinkla@amc.uva.nl, Laarse, Rob van der, Koedooder, Kees, Petra Kok, H., Wieringen, Niek van, Pieters, Bradley R., and Bel, Arjan. Thu . "Novel tools for stepping source brachytherapy treatment planning: Enhanced geometrical optimization and interactive inverse planning". United States. doi:10.1118/1.4904020.
@article{osti_22413389,
title = {Novel tools for stepping source brachytherapy treatment planning: Enhanced geometrical optimization and interactive inverse planning},
author = {Dinkla, Anna M., E-mail: a.m.dinkla@amc.uva.nl and Laarse, Rob van der and Koedooder, Kees and Petra Kok, H. and Wieringen, Niek van and Pieters, Bradley R. and Bel, Arjan},
abstractNote = {Purpose: Dose optimization for stepping source brachytherapy can nowadays be performed using automated inverse algorithms. Although much quicker than graphical optimization, an experienced treatment planner is required for both methods. With automated inverse algorithms, the procedure to achieve the desired dose distribution is often based on trial-and-error. Methods: A new approach for stepping source prostate brachytherapy treatment planning was developed as a quick and user-friendly alternative. This approach consists of the combined use of two novel tools: Enhanced geometrical optimization (EGO) and interactive inverse planning (IIP). EGO is an extended version of the common geometrical optimization method and is applied to create a dose distribution as homogeneous as possible. With the second tool, IIP, this dose distribution is tailored to a specific patient anatomy by interactively changing the highest and lowest dose on the contours. Results: The combined use of EGO–IIP was evaluated on 24 prostate cancer patients, by having an inexperienced user create treatment plans, compliant to clinical dose objectives. This user was able to create dose plans of 24 patients in an average time of 4.4 min/patient. An experienced treatment planner without extensive training in EGO–IIP also created 24 plans. The resulting dose-volume histogram parameters were comparable to the clinical plans and showed high conformance to clinical standards. Conclusions: Even for an inexperienced user, treatment planning with EGO–IIP for stepping source prostate brachytherapy is feasible as an alternative to current optimization algorithms, offering speed, simplicity for the user, and local control of the dose levels.},
doi = {10.1118/1.4904020},
journal = {Medical Physics},
number = 1,
volume = 42,
place = {United States},
year = {Thu Jan 15 00:00:00 EST 2015},
month = {Thu Jan 15 00:00:00 EST 2015}
}