Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1785013539764699136 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10045933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT fanouannamaria implementationdosimetricassessmentandtreatmentvalidationofknowledgebasedplanningkbpmodelsinvmatheadandneckradiationoncology AT patatoukasgeorgios implementationdosimetricassessmentandtreatmentvalidationofknowledgebasedplanningkbpmodelsinvmatheadandneckradiationoncology AT chalkiamarina implementationdosimetricassessmentandtreatmentvalidationofknowledgebasedplanningkbpmodelsinvmatheadandneckradiationoncology AT kollarosnikolaos implementationdosimetricassessmentandtreatmentvalidationofknowledgebasedplanningkbpmodelsinvmatheadandneckradiationoncology AT kougioumtzopoulouandromachi implementationdosimetricassessmentandtreatmentvalidationofknowledgebasedplanningkbpmodelsinvmatheadandneckradiationoncology AT koulouliasvassilis implementationdosimetricassessmentandtreatmentvalidationofknowledgebasedplanningkbpmodelsinvmatheadandneckradiationoncology AT platonikalliopi implementationdosimetricassessmentandtreatmentvalidationofknowledgebasedplanningkbpmodelsinvmatheadandneckradiationoncology |