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Implementation, Dosimetric Assessment, and Treatment Validation of Knowledge-Based Planning (KBP) Models in VMAT Head and Neck Radiation Oncology

The aim of this study was to evaluate knowledge-based treatment planning (KBP) models in terms of their dosimetry and deliverability and to investigate their clinical benefits. Three H&N KBP models were built utilizing RapidPlan™, based on the dose prescription, which is given according to the p...

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Autores principales: Fanou, Anna-Maria, Patatoukas, Georgios, Chalkia, Marina, Kollaros, Nikolaos, Kougioumtzopoulou, Andromachi, Kouloulias, Vassilis, Platoni, Kalliopi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045933/
https://www.ncbi.nlm.nih.gov/pubmed/36979740
http://dx.doi.org/10.3390/biomedicines11030762
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author Fanou, Anna-Maria
Patatoukas, Georgios
Chalkia, Marina
Kollaros, Nikolaos
Kougioumtzopoulou, Andromachi
Kouloulias, Vassilis
Platoni, Kalliopi
author_facet Fanou, Anna-Maria
Patatoukas, Georgios
Chalkia, Marina
Kollaros, Nikolaos
Kougioumtzopoulou, Andromachi
Kouloulias, Vassilis
Platoni, Kalliopi
author_sort Fanou, Anna-Maria
collection PubMed
description The aim of this study was to evaluate knowledge-based treatment planning (KBP) models in terms of their dosimetry and deliverability and to investigate their clinical benefits. Three H&N KBP models were built utilizing RapidPlan™, based on the dose prescription, which is given according to the planning target volume (PTV). The training set for each model consisted of 43 clinically acceptable volumetric modulated arc therapy (VMAT) plans. Model quality was assessed and compared to the delivered treatment plans using the homogeneity index (HI), conformity index (CI), structure dose difference (PTV, organ at risk—OAR), monitor units, MU factor, and complexity index. Model deliverability was assessed through a patient-specific quality assurance (PSQA) gamma index-based analysis. The dosimetric assessment showed better OAR sparing for the RapidPlan™ plans and for the low- and high-risk PTV, and the HI, and CI were comparable between the clinical and RapidPlan™ plans, while for the intermediate-risk PTV, CI was better for clinical plans. The 2D gamma passing rates for RapidPlan™ plans were similar or better than the clinical ones using the 3%/3 mm gamma-index criterion. Monitor units, the MU factors, and complexity indices were found to be comparable between RapidPlan™ and the clinical plans. Knowledge-based treatment plans can be safely adapted into clinical routines, providing improved plan quality in a time efficient way while minimizing user variability.
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spelling pubmed-100459332023-03-29 Implementation, Dosimetric Assessment, and Treatment Validation of Knowledge-Based Planning (KBP) Models in VMAT Head and Neck Radiation Oncology Fanou, Anna-Maria Patatoukas, Georgios Chalkia, Marina Kollaros, Nikolaos Kougioumtzopoulou, Andromachi Kouloulias, Vassilis Platoni, Kalliopi Biomedicines Article The aim of this study was to evaluate knowledge-based treatment planning (KBP) models in terms of their dosimetry and deliverability and to investigate their clinical benefits. Three H&N KBP models were built utilizing RapidPlan™, based on the dose prescription, which is given according to the planning target volume (PTV). The training set for each model consisted of 43 clinically acceptable volumetric modulated arc therapy (VMAT) plans. Model quality was assessed and compared to the delivered treatment plans using the homogeneity index (HI), conformity index (CI), structure dose difference (PTV, organ at risk—OAR), monitor units, MU factor, and complexity index. Model deliverability was assessed through a patient-specific quality assurance (PSQA) gamma index-based analysis. The dosimetric assessment showed better OAR sparing for the RapidPlan™ plans and for the low- and high-risk PTV, and the HI, and CI were comparable between the clinical and RapidPlan™ plans, while for the intermediate-risk PTV, CI was better for clinical plans. The 2D gamma passing rates for RapidPlan™ plans were similar or better than the clinical ones using the 3%/3 mm gamma-index criterion. Monitor units, the MU factors, and complexity indices were found to be comparable between RapidPlan™ and the clinical plans. Knowledge-based treatment plans can be safely adapted into clinical routines, providing improved plan quality in a time efficient way while minimizing user variability. MDPI 2023-03-02 /pmc/articles/PMC10045933/ /pubmed/36979740 http://dx.doi.org/10.3390/biomedicines11030762 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fanou, Anna-Maria
Patatoukas, Georgios
Chalkia, Marina
Kollaros, Nikolaos
Kougioumtzopoulou, Andromachi
Kouloulias, Vassilis
Platoni, Kalliopi
Implementation, Dosimetric Assessment, and Treatment Validation of Knowledge-Based Planning (KBP) Models in VMAT Head and Neck Radiation Oncology
title Implementation, Dosimetric Assessment, and Treatment Validation of Knowledge-Based Planning (KBP) Models in VMAT Head and Neck Radiation Oncology
title_full Implementation, Dosimetric Assessment, and Treatment Validation of Knowledge-Based Planning (KBP) Models in VMAT Head and Neck Radiation Oncology
title_fullStr Implementation, Dosimetric Assessment, and Treatment Validation of Knowledge-Based Planning (KBP) Models in VMAT Head and Neck Radiation Oncology
title_full_unstemmed Implementation, Dosimetric Assessment, and Treatment Validation of Knowledge-Based Planning (KBP) Models in VMAT Head and Neck Radiation Oncology
title_short Implementation, Dosimetric Assessment, and Treatment Validation of Knowledge-Based Planning (KBP) Models in VMAT Head and Neck Radiation Oncology
title_sort implementation, dosimetric assessment, and treatment validation of knowledge-based planning (kbp) models in vmat head and neck radiation oncology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10045933/
https://www.ncbi.nlm.nih.gov/pubmed/36979740
http://dx.doi.org/10.3390/biomedicines11030762
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