Optimization of Fluence Map for CyberKnife Raster Scanning Intensity Modulated Radiotherapy.
CyberKnife
prostate cancer
raster scanning
stereotactic body radiotherapy
Journal
Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
20
12
2022
revised:
06
01
2023
accepted:
23
01
2023
medline:
29
3
2023
entrez:
28
3
2023
pubmed:
29
3
2023
Statut:
ppublish
Résumé
Stereotactic body radiotherapy for prostate cancer using CyberKnife with circular cone requires a long treatment time. Raster scanning intensity modulated radiotherapy (RS-IMRT) has a potential of improving treatment efficacy, introducing shorter treatment time, better target dose uniformity, and lower organ at risk (OAR) dose. The purpose of the study was to develop a fluence optimization system for RS-IMRT. RS-IMRT plans were created for five prostate cancer patients treated with the Novalis system and parameters were compared to the Novalis treatment plans. From 80 nodes available for the CyberKnife, twelve nodes were arbitrarily selected. On the beam's eye view of each beam, a 100×100 matrix of optimization points was created at the target center plane. The beam fluence map was optimized using the attraction-repulsion model (ARM). The beam fluence maps were converted to the scanning sequence using the ARM and a final dose calculation was performed. For planning target volume (PTV), RS-IMRT plans showed higher dose covering 2% of the volume (D We developed a fluence optimization system for RS-IMRT that performs the entire RS-IMRT treatment planning process, including scanning sequence optimization and final dose calculation. The RS-IMRT was capable of generating clinically acceptable plans.
Sections du résumé
BACKGROUND/AIM
OBJECTIVE
Stereotactic body radiotherapy for prostate cancer using CyberKnife with circular cone requires a long treatment time. Raster scanning intensity modulated radiotherapy (RS-IMRT) has a potential of improving treatment efficacy, introducing shorter treatment time, better target dose uniformity, and lower organ at risk (OAR) dose. The purpose of the study was to develop a fluence optimization system for RS-IMRT.
PATIENTS AND METHODS
METHODS
RS-IMRT plans were created for five prostate cancer patients treated with the Novalis system and parameters were compared to the Novalis treatment plans. From 80 nodes available for the CyberKnife, twelve nodes were arbitrarily selected. On the beam's eye view of each beam, a 100×100 matrix of optimization points was created at the target center plane. The beam fluence map was optimized using the attraction-repulsion model (ARM). The beam fluence maps were converted to the scanning sequence using the ARM and a final dose calculation was performed.
RESULTS
RESULTS
For planning target volume (PTV), RS-IMRT plans showed higher dose covering 2% of the volume (D
CONCLUSION
CONCLUSIONS
We developed a fluence optimization system for RS-IMRT that performs the entire RS-IMRT treatment planning process, including scanning sequence optimization and final dose calculation. The RS-IMRT was capable of generating clinically acceptable plans.
Identifiants
pubmed: 36974800
pii: 43/4/1637
doi: 10.21873/anticanres.16314
doi:
Substances chimiques
Etoposide
6PLQ3CP4P3
Carmustine
U68WG3173Y
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1637-1642Informations de copyright
Copyright © 2023 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.