Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German RapidPlan Consortium

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Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German RapidPlan Consortium. / Schubert, Carolin; Waletzko, Oliver; Weiss, Christian; Voelzke, Dirk; Toperim, Sevda; Roeser, Arnd; Puccini, Silvia; Piroth, Marc; Mehrens, Christian; Kueter, Jan-Dirk; Hierholz, Kirsten; Gerull, Karsten; Fogliata, Antonella; Block, Andreas; Cozzi, Luca.

In: PLOS ONE, Vol. 12, No. 5, 2017, p. e0178034.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Schubert, C, Waletzko, O, Weiss, C, Voelzke, D, Toperim, S, Roeser, A, Puccini, S, Piroth, M, Mehrens, C, Kueter, J-D, Hierholz, K, Gerull, K, Fogliata, A, Block, A & Cozzi, L 2017, 'Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German RapidPlan Consortium', PLOS ONE, vol. 12, no. 5, pp. e0178034. https://doi.org/10.1371/journal.pone.0178034

APA

Schubert, C., Waletzko, O., Weiss, C., Voelzke, D., Toperim, S., Roeser, A., Puccini, S., Piroth, M., Mehrens, C., Kueter, J-D., Hierholz, K., Gerull, K., Fogliata, A., Block, A., & Cozzi, L. (2017). Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German RapidPlan Consortium. PLOS ONE, 12(5), e0178034. https://doi.org/10.1371/journal.pone.0178034

Vancouver

Bibtex

@article{733b3fbe54f94c298acef398f66b5072,
title = "Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German RapidPlan Consortium",
abstract = "PURPOSE: To evaluate the performance of a model-based optimisation process for volumetric modulated arc therapy applied to prostate cancer in a multicentric cooperative group. The RapidPlan (RP) knowledge-based engine was tested for the planning of Volumetric modulated arc therapy with RapidArc on prostate cancer patients. The study was conducted in the frame of the German RapidPlan Consortium (GRC).METHODS AND MATERIALS: 43 patients from one institute of the GRC were used to build and train a RP model. This was further shared with all members of the GRC plus an external site from a different country to increase the heterogeneity of the patient's sampling. An in silico multicentric validation of the model was performed at planning level by comparing RP against reference plans optimized according to institutional procedures. A total of 60 patients from 7 institutes were used.RESULTS: On average, the automated RP based plans resulted fully consistent with the manually optimised set with a modest tendency to improvement in the medium-to-high dose region. A per-site stratification allowed to identify different patterns of performance of the model with some organs at risk resulting better spared with the manual or with the automated approach but in all cases the RP data fulfilled the clinical acceptability requirements. Discrepancies in the performance were due to different contouring protocols or to different emphasis put in the optimization of the manual cases.CONCLUSIONS: The multicentric validation demonstrated that it was possible to satisfactorily optimize with the knowledge based model patients from all participating centres. In the presence of possibly significant differences in the contouring protocols, the automated plans, though acceptable and fulfilling the benchmark goals, might benefit from further fine tuning of the constraints. The study demonstrates that, at least for the case of prostate cancer patients, it is possibile to share models among different clinical institutes in a cooperative framework.",
keywords = "Humans, Male, Models, Theoretical, Prostatic Neoplasms, Radiotherapy Dosage, Radiotherapy Planning, Computer-Assisted, Radiotherapy, Intensity-Modulated, Journal Article, Multicenter Study",
author = "Carolin Schubert and Oliver Waletzko and Christian Weiss and Dirk Voelzke and Sevda Toperim and Arnd Roeser and Silvia Puccini and Marc Piroth and Christian Mehrens and Jan-Dirk Kueter and Kirsten Hierholz and Karsten Gerull and Antonella Fogliata and Andreas Block and Luca Cozzi",
year = "2017",
doi = "10.1371/journal.pone.0178034",
language = "English",
volume = "12",
pages = "e0178034",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "5",

}

RIS

TY - JOUR

T1 - Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German RapidPlan Consortium

AU - Schubert, Carolin

AU - Waletzko, Oliver

AU - Weiss, Christian

AU - Voelzke, Dirk

AU - Toperim, Sevda

AU - Roeser, Arnd

AU - Puccini, Silvia

AU - Piroth, Marc

AU - Mehrens, Christian

AU - Kueter, Jan-Dirk

AU - Hierholz, Kirsten

AU - Gerull, Karsten

AU - Fogliata, Antonella

AU - Block, Andreas

AU - Cozzi, Luca

PY - 2017

Y1 - 2017

N2 - PURPOSE: To evaluate the performance of a model-based optimisation process for volumetric modulated arc therapy applied to prostate cancer in a multicentric cooperative group. The RapidPlan (RP) knowledge-based engine was tested for the planning of Volumetric modulated arc therapy with RapidArc on prostate cancer patients. The study was conducted in the frame of the German RapidPlan Consortium (GRC).METHODS AND MATERIALS: 43 patients from one institute of the GRC were used to build and train a RP model. This was further shared with all members of the GRC plus an external site from a different country to increase the heterogeneity of the patient's sampling. An in silico multicentric validation of the model was performed at planning level by comparing RP against reference plans optimized according to institutional procedures. A total of 60 patients from 7 institutes were used.RESULTS: On average, the automated RP based plans resulted fully consistent with the manually optimised set with a modest tendency to improvement in the medium-to-high dose region. A per-site stratification allowed to identify different patterns of performance of the model with some organs at risk resulting better spared with the manual or with the automated approach but in all cases the RP data fulfilled the clinical acceptability requirements. Discrepancies in the performance were due to different contouring protocols or to different emphasis put in the optimization of the manual cases.CONCLUSIONS: The multicentric validation demonstrated that it was possible to satisfactorily optimize with the knowledge based model patients from all participating centres. In the presence of possibly significant differences in the contouring protocols, the automated plans, though acceptable and fulfilling the benchmark goals, might benefit from further fine tuning of the constraints. The study demonstrates that, at least for the case of prostate cancer patients, it is possibile to share models among different clinical institutes in a cooperative framework.

AB - PURPOSE: To evaluate the performance of a model-based optimisation process for volumetric modulated arc therapy applied to prostate cancer in a multicentric cooperative group. The RapidPlan (RP) knowledge-based engine was tested for the planning of Volumetric modulated arc therapy with RapidArc on prostate cancer patients. The study was conducted in the frame of the German RapidPlan Consortium (GRC).METHODS AND MATERIALS: 43 patients from one institute of the GRC were used to build and train a RP model. This was further shared with all members of the GRC plus an external site from a different country to increase the heterogeneity of the patient's sampling. An in silico multicentric validation of the model was performed at planning level by comparing RP against reference plans optimized according to institutional procedures. A total of 60 patients from 7 institutes were used.RESULTS: On average, the automated RP based plans resulted fully consistent with the manually optimised set with a modest tendency to improvement in the medium-to-high dose region. A per-site stratification allowed to identify different patterns of performance of the model with some organs at risk resulting better spared with the manual or with the automated approach but in all cases the RP data fulfilled the clinical acceptability requirements. Discrepancies in the performance were due to different contouring protocols or to different emphasis put in the optimization of the manual cases.CONCLUSIONS: The multicentric validation demonstrated that it was possible to satisfactorily optimize with the knowledge based model patients from all participating centres. In the presence of possibly significant differences in the contouring protocols, the automated plans, though acceptable and fulfilling the benchmark goals, might benefit from further fine tuning of the constraints. The study demonstrates that, at least for the case of prostate cancer patients, it is possibile to share models among different clinical institutes in a cooperative framework.

KW - Humans

KW - Male

KW - Models, Theoretical

KW - Prostatic Neoplasms

KW - Radiotherapy Dosage

KW - Radiotherapy Planning, Computer-Assisted

KW - Radiotherapy, Intensity-Modulated

KW - Journal Article

KW - Multicenter Study

U2 - 10.1371/journal.pone.0178034

DO - 10.1371/journal.pone.0178034

M3 - SCORING: Journal article

C2 - 28531226

VL - 12

SP - e0178034

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 5

ER -