Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer

Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Ueda, Yoshihiro [verfasserIn] Fukunaga, Jun-ichi Kamima, Tatsuya Adachi, Yumiko Nakamatsu, Kiyoshi Monzen, Hajime

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Knowledge-based planning Inverse planning Prostate cancer Quality assurance for planning RapidPlan

Anmerkung:	© The Author(s). 2018

Übergeordnetes Werk:	Enthalten in: Radiation oncology - London : BioMed Central, 2006, 13(2018), 1 vom: 20. März
Übergeordnetes Werk:	volume:13 ; year:2018 ; number:1 ; day:20 ; month:03

Links:	Volltext

DOI / URN:	10.1186/s13014-018-0994-1

Katalog-ID:	SPR029799155

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allfields	10.1186/s13014-018-0994-1 doi (DE-627)SPR029799155 (SPR)s13014-018-0994-1-e DE-627 ger DE-627 rakwb eng Ueda, Yoshihiro verfasserin aut Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. Knowledge-based planning (dpeaa)DE-He213 Inverse planning (dpeaa)DE-He213 Prostate cancer (dpeaa)DE-He213 Quality assurance for planning (dpeaa)DE-He213 RapidPlan (dpeaa)DE-He213 Fukunaga, Jun-ichi aut Kamima, Tatsuya aut Adachi, Yumiko aut Nakamatsu, Kiyoshi aut Monzen, Hajime aut Enthalten in Radiation oncology London : BioMed Central, 2006 13(2018), 1 vom: 20. März (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:13 year:2018 number:1 day:20 month:03 https://dx.doi.org/10.1186/s13014-018-0994-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2018 1 20 03
spelling	10.1186/s13014-018-0994-1 doi (DE-627)SPR029799155 (SPR)s13014-018-0994-1-e DE-627 ger DE-627 rakwb eng Ueda, Yoshihiro verfasserin aut Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. Knowledge-based planning (dpeaa)DE-He213 Inverse planning (dpeaa)DE-He213 Prostate cancer (dpeaa)DE-He213 Quality assurance for planning (dpeaa)DE-He213 RapidPlan (dpeaa)DE-He213 Fukunaga, Jun-ichi aut Kamima, Tatsuya aut Adachi, Yumiko aut Nakamatsu, Kiyoshi aut Monzen, Hajime aut Enthalten in Radiation oncology London : BioMed Central, 2006 13(2018), 1 vom: 20. März (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:13 year:2018 number:1 day:20 month:03 https://dx.doi.org/10.1186/s13014-018-0994-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2018 1 20 03
allfields_unstemmed	10.1186/s13014-018-0994-1 doi (DE-627)SPR029799155 (SPR)s13014-018-0994-1-e DE-627 ger DE-627 rakwb eng Ueda, Yoshihiro verfasserin aut Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. Knowledge-based planning (dpeaa)DE-He213 Inverse planning (dpeaa)DE-He213 Prostate cancer (dpeaa)DE-He213 Quality assurance for planning (dpeaa)DE-He213 RapidPlan (dpeaa)DE-He213 Fukunaga, Jun-ichi aut Kamima, Tatsuya aut Adachi, Yumiko aut Nakamatsu, Kiyoshi aut Monzen, Hajime aut Enthalten in Radiation oncology London : BioMed Central, 2006 13(2018), 1 vom: 20. März (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:13 year:2018 number:1 day:20 month:03 https://dx.doi.org/10.1186/s13014-018-0994-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2018 1 20 03
allfieldsGer	10.1186/s13014-018-0994-1 doi (DE-627)SPR029799155 (SPR)s13014-018-0994-1-e DE-627 ger DE-627 rakwb eng Ueda, Yoshihiro verfasserin aut Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. Knowledge-based planning (dpeaa)DE-He213 Inverse planning (dpeaa)DE-He213 Prostate cancer (dpeaa)DE-He213 Quality assurance for planning (dpeaa)DE-He213 RapidPlan (dpeaa)DE-He213 Fukunaga, Jun-ichi aut Kamima, Tatsuya aut Adachi, Yumiko aut Nakamatsu, Kiyoshi aut Monzen, Hajime aut Enthalten in Radiation oncology London : BioMed Central, 2006 13(2018), 1 vom: 20. März (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:13 year:2018 number:1 day:20 month:03 https://dx.doi.org/10.1186/s13014-018-0994-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2018 1 20 03
allfieldsSound	10.1186/s13014-018-0994-1 doi (DE-627)SPR029799155 (SPR)s13014-018-0994-1-e DE-627 ger DE-627 rakwb eng Ueda, Yoshihiro verfasserin aut Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2018 Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. Knowledge-based planning (dpeaa)DE-He213 Inverse planning (dpeaa)DE-He213 Prostate cancer (dpeaa)DE-He213 Quality assurance for planning (dpeaa)DE-He213 RapidPlan (dpeaa)DE-He213 Fukunaga, Jun-ichi aut Kamima, Tatsuya aut Adachi, Yumiko aut Nakamatsu, Kiyoshi aut Monzen, Hajime aut Enthalten in Radiation oncology London : BioMed Central, 2006 13(2018), 1 vom: 20. März (DE-627)508725739 (DE-600)2224965-5 1748-717X nnns volume:13 year:2018 number:1 day:20 month:03 https://dx.doi.org/10.1186/s13014-018-0994-1 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 13 2018 1 20 03
language	English
source	Enthalten in Radiation oncology 13(2018), 1 vom: 20. März volume:13 year:2018 number:1 day:20 month:03
sourceStr	Enthalten in Radiation oncology 13(2018), 1 vom: 20. März volume:13 year:2018 number:1 day:20 month:03
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Knowledge-based planning Inverse planning Prostate cancer Quality assurance for planning RapidPlan
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container_title	Radiation oncology
authorswithroles_txt_mv	Ueda, Yoshihiro @@aut@@ Fukunaga, Jun-ichi @@aut@@ Kamima, Tatsuya @@aut@@ Adachi, Yumiko @@aut@@ Nakamatsu, Kiyoshi @@aut@@ Monzen, Hajime @@aut@@
publishDateDaySort_date	2018-03-20T00:00:00Z
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language_de	englisch
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author	Ueda, Yoshihiro
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illustrated	Not Illustrated
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topic_title	Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer Knowledge-based planning (dpeaa)DE-He213 Inverse planning (dpeaa)DE-He213 Prostate cancer (dpeaa)DE-He213 Quality assurance for planning (dpeaa)DE-He213 RapidPlan (dpeaa)DE-He213
topic	misc Knowledge-based planning misc Inverse planning misc Prostate cancer misc Quality assurance for planning misc RapidPlan
topic_unstemmed	misc Knowledge-based planning misc Inverse planning misc Prostate cancer misc Quality assurance for planning misc RapidPlan
topic_browse	misc Knowledge-based planning misc Inverse planning misc Prostate cancer misc Quality assurance for planning misc RapidPlan
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title	Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer
ctrlnum	(DE-627)SPR029799155 (SPR)s13014-018-0994-1-e
title_full	Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer
author_sort	Ueda, Yoshihiro
journal	Radiation oncology
journalStr	Radiation oncology
lang_code	eng
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publishDateSort	2018
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author_browse	Ueda, Yoshihiro Fukunaga, Jun-ichi Kamima, Tatsuya Adachi, Yumiko Nakamatsu, Kiyoshi Monzen, Hajime
container_volume	13
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author-letter	Ueda, Yoshihiro
doi_str_mv	10.1186/s13014-018-0994-1
title_sort	evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (vmat) for prostate cancer
title_auth	Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer
abstract	Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. © The Author(s). 2018
abstractGer	Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. © The Author(s). 2018
abstract_unstemmed	Background The aim of this study was to evaluate the performance of a commercial knowledge-based planning system, in volumetric modulated arc therapy for prostate cancer at multiple radiation therapy departments. Methods In each institute, > 20 cases were assessed. For the knowledge-based planning, the estimated dose (ED) based on geometric and dosimetric information of plans was generated in the model. Lower and upper limits of estimated dose were saved as dose volume histograms for each organ at risk. To verify whether the models performed correctly, KBP was compared with manual optimization planning in two cases. The relationships between the EDs in the models and the ratio of the OAR volumes overlapping volume with PTV to the whole organ volume ($ V_{overlap} $/$ V_{whole} $) were investigated. Results There were no significant dosimetric differences in OARs and PTV between manual optimization planning and knowledge-based planning. In knowledge-based planning, the difference in the volume ratio of receiving 90% and 50% of the prescribed dose (V90 and V50) between institutes were more than 5.0% and 10.0%, respectively. The calculated doses with knowledge-based planning were between the upper and lower limits of ED or slightly under the lower limit of ED. The relationships between the lower limit of ED and $ V_{overlap} $/$ V_{whole} $ were different among the models. In the V90 and V50 for the rectum, the maximum differences between the lower limit of ED among institutes were 8.2% and 53.5% when $ V_{overlap} $/$ V_{whole} $ for the rectum was 10%. In the V90 and V50 for the bladder, the maximum differences of the lower limit of ED among institutes were 15.1% and 33.1% when $ V_{overlap} $/$ V_{whole} $ for the bladder was 10%. Conclusion Organs’ upper and lower limits of ED in the models correlated closely with the $ V_{overlap} $/$ V_{whole} $. It is important to determine whether the models in KBP match a different institute’s plan design before the models can be shared. © The Author(s). 2018
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title_short	Evaluation of multiple institutions’ models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer
url	https://dx.doi.org/10.1186/s13014-018-0994-1
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author2	Fukunaga, Jun-ichi Kamima, Tatsuya Adachi, Yumiko Nakamatsu, Kiyoshi Monzen, Hajime
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up_date	2024-07-04T02:20:42.146Z
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