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Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy

Publications have reported the benefits of using high‐dose‐rate brachytherapy (HDRB) for the treatment of prostate cancer, since it provides similar biochemical control as other treatments while showing lowest long‐term complications to the organs at risk (OAR). With the inclusion of anatomy‐based i...

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Autores principales: Panettieri, Vanessa, Smith, Ryan L., Mason, Natasha J., Millar, Jeremy L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711111/
https://www.ncbi.nlm.nih.gov/pubmed/25493531
http://dx.doi.org/10.1120/jacmp.v15i6.5055
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author Panettieri, Vanessa
Smith, Ryan L.
Mason, Natasha J.
Millar, Jeremy L.
author_facet Panettieri, Vanessa
Smith, Ryan L.
Mason, Natasha J.
Millar, Jeremy L.
author_sort Panettieri, Vanessa
collection PubMed
description Publications have reported the benefits of using high‐dose‐rate brachytherapy (HDRB) for the treatment of prostate cancer, since it provides similar biochemical control as other treatments while showing lowest long‐term complications to the organs at risk (OAR). With the inclusion of anatomy‐based inverse planning optimizers, HDRB has the advantage of potentially allowing dose escalation. Among the algorithms used, the Inverse Planning Simulated Annealing (IPSA) optimizer is widely employed since it provides adequate dose coverage, minimizing dose to the OAR, but it is known to generate large dwell times in particular positions of the catheter. As an alternative, the Hybrid Inverse treatment Planning Optimization (HIPO) algorithm was recently implemented in Oncentra Brachytherapy V. 4.3. The aim of this work was to compare, with the aid of radiobiological models, plans obtained with IPSA and HIPO to assess their use in our clinical practice. Thirty patients were calculated with IPSA and HIPO to achieve our department's clinical constraints. To evaluate their performance, dosimetric data were collected: Prostate PTV [Formula: see text] , and [Formula: see text] , Urethra [Formula: see text] , Rectum [Formula: see text] , and conformity indices. Additionally tumor control probability (TCP) and normal tissue complication probability (NTCP) were calculated with the BioSuite software. The HIPO optimization was performed firstly with Prostate PTV ([Formula: see text]) and then with Urethra as priority 1 ([Formula: see text]). Initial optimization constraints were then modified to see the effects on dosimetric parameters, TCPs, and NTCPs. HIPO optimizations could reduce TCPs up to 10%–20% for all PTVs lower than 74 cm(3). For the urethra, IPSA and [Formula: see text] provided similar NTCPs for the majority of volume sizes, whereas [Formula: see text] resulted in large NTCP values. These findings were in agreement with dosimetric values. By increasing the PTV maximum dose constraints for [Formula: see text] plans, TCPs were found to be in agreement with IPSA without affecting the urethral NTCPs. PACS numbers: 87.55.‐x, 87.55.de, 87.55.dh, 87.53.Jw
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spelling pubmed-57111112018-04-02 Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy Panettieri, Vanessa Smith, Ryan L. Mason, Natasha J. Millar, Jeremy L. J Appl Clin Med Phys Radiation Oncology Physics Publications have reported the benefits of using high‐dose‐rate brachytherapy (HDRB) for the treatment of prostate cancer, since it provides similar biochemical control as other treatments while showing lowest long‐term complications to the organs at risk (OAR). With the inclusion of anatomy‐based inverse planning optimizers, HDRB has the advantage of potentially allowing dose escalation. Among the algorithms used, the Inverse Planning Simulated Annealing (IPSA) optimizer is widely employed since it provides adequate dose coverage, minimizing dose to the OAR, but it is known to generate large dwell times in particular positions of the catheter. As an alternative, the Hybrid Inverse treatment Planning Optimization (HIPO) algorithm was recently implemented in Oncentra Brachytherapy V. 4.3. The aim of this work was to compare, with the aid of radiobiological models, plans obtained with IPSA and HIPO to assess their use in our clinical practice. Thirty patients were calculated with IPSA and HIPO to achieve our department's clinical constraints. To evaluate their performance, dosimetric data were collected: Prostate PTV [Formula: see text] , and [Formula: see text] , Urethra [Formula: see text] , Rectum [Formula: see text] , and conformity indices. Additionally tumor control probability (TCP) and normal tissue complication probability (NTCP) were calculated with the BioSuite software. The HIPO optimization was performed firstly with Prostate PTV ([Formula: see text]) and then with Urethra as priority 1 ([Formula: see text]). Initial optimization constraints were then modified to see the effects on dosimetric parameters, TCPs, and NTCPs. HIPO optimizations could reduce TCPs up to 10%–20% for all PTVs lower than 74 cm(3). For the urethra, IPSA and [Formula: see text] provided similar NTCPs for the majority of volume sizes, whereas [Formula: see text] resulted in large NTCP values. These findings were in agreement with dosimetric values. By increasing the PTV maximum dose constraints for [Formula: see text] plans, TCPs were found to be in agreement with IPSA without affecting the urethral NTCPs. PACS numbers: 87.55.‐x, 87.55.de, 87.55.dh, 87.53.Jw John Wiley and Sons Inc. 2014-11-08 /pmc/articles/PMC5711111/ /pubmed/25493531 http://dx.doi.org/10.1120/jacmp.v15i6.5055 Text en © 2014 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Panettieri, Vanessa
Smith, Ryan L.
Mason, Natasha J.
Millar, Jeremy L.
Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy
title Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy
title_full Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy
title_fullStr Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy
title_full_unstemmed Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy
title_short Comparison of IPSA and HIPO inverse planning optimization algorithms for prostate HDR brachytherapy
title_sort comparison of ipsa and hipo inverse planning optimization algorithms for prostate hdr brachytherapy
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711111/
https://www.ncbi.nlm.nih.gov/pubmed/25493531
http://dx.doi.org/10.1120/jacmp.v15i6.5055
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