Cargando…

Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system

PURPOSE: The personalized setting of plan parameters in the Auto‐Planning module of the Pinnacle treatment planning system (TPS) using the PlanIQ feasibility tool was evaluated for lung cancer conventional fractionated radiotherapy (CFRT). MATERIALS AND METHOD: We reviewed the records of ten patient...

Descripción completa

Detalles Bibliográficos
Autores principales: Xia, Wenlong, Han, Fei, Chen, Jiayun, Miao, Junjie, Dai, Jianrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386185/
https://www.ncbi.nlm.nih.gov/pubmed/32363757
http://dx.doi.org/10.1002/acm2.12897
_version_ 1783563906433679360
author Xia, Wenlong
Han, Fei
Chen, Jiayun
Miao, Junjie
Dai, Jianrong
author_facet Xia, Wenlong
Han, Fei
Chen, Jiayun
Miao, Junjie
Dai, Jianrong
author_sort Xia, Wenlong
collection PubMed
description PURPOSE: The personalized setting of plan parameters in the Auto‐Planning module of the Pinnacle treatment planning system (TPS) using the PlanIQ feasibility tool was evaluated for lung cancer conventional fractionated radiotherapy (CFRT). MATERIALS AND METHOD: We reviewed the records of ten patients with lung cancer who were treated with volumetric modulated arc therapy (VMAT). Three plans were designed for each patient: the clinically accepted manual plan (MP) and two automatic plans including one generated using the generic plan parameters in technique script (AP1) and the other generated using personalized plan parameters derived based on feasibility dose volume histogram (FDVH) in PlanIQ (AP2). The plans were assessed according to the dosimetric parameters, monitor units, and planning time. A plan quality metric (PQM) was defined according to the clinical requirements for plan assessment. RESULTS: AP2 achieved better lung sparing than AP1 and MP. The PQM value of AP2 (52.5 ± 14.3) was higher than those of AP1 (49.2 ± 16.2) and MP (44.8 ± 16.9) with P < 0.05. The monitor units of AP2 (585.9 ± 142.9 MU) was higher than that of AP1 (511.1 ± 136.5 MU) and lower than that of MP (632.8 ± 143.8 MU) with p < 0.05. The planning time of AP2 (33.2 ± 4.8 min) was slightly higher than that of AP1 (28.2 ± 4.0 min) and substantially lower than that of MP (72.9 ± 28.5 min) with P < 0.05. CONCLUSIONS: The Auto‐Planning module of the Pinnacle system using personalized plan parameters suggested by the PlanIQ Feasibility tool provides superior quality for lung cancer plans, especially in terms of lung sparing. The time consumption of Auto‐Planning was slightly higher with the personalized parameters compared to that with the generic parameters, but significantly lower than that for the manual plan.
format Online
Article
Text
id pubmed-7386185
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-73861852020-07-30 Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system Xia, Wenlong Han, Fei Chen, Jiayun Miao, Junjie Dai, Jianrong J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: The personalized setting of plan parameters in the Auto‐Planning module of the Pinnacle treatment planning system (TPS) using the PlanIQ feasibility tool was evaluated for lung cancer conventional fractionated radiotherapy (CFRT). MATERIALS AND METHOD: We reviewed the records of ten patients with lung cancer who were treated with volumetric modulated arc therapy (VMAT). Three plans were designed for each patient: the clinically accepted manual plan (MP) and two automatic plans including one generated using the generic plan parameters in technique script (AP1) and the other generated using personalized plan parameters derived based on feasibility dose volume histogram (FDVH) in PlanIQ (AP2). The plans were assessed according to the dosimetric parameters, monitor units, and planning time. A plan quality metric (PQM) was defined according to the clinical requirements for plan assessment. RESULTS: AP2 achieved better lung sparing than AP1 and MP. The PQM value of AP2 (52.5 ± 14.3) was higher than those of AP1 (49.2 ± 16.2) and MP (44.8 ± 16.9) with P < 0.05. The monitor units of AP2 (585.9 ± 142.9 MU) was higher than that of AP1 (511.1 ± 136.5 MU) and lower than that of MP (632.8 ± 143.8 MU) with p < 0.05. The planning time of AP2 (33.2 ± 4.8 min) was slightly higher than that of AP1 (28.2 ± 4.0 min) and substantially lower than that of MP (72.9 ± 28.5 min) with P < 0.05. CONCLUSIONS: The Auto‐Planning module of the Pinnacle system using personalized plan parameters suggested by the PlanIQ Feasibility tool provides superior quality for lung cancer plans, especially in terms of lung sparing. The time consumption of Auto‐Planning was slightly higher with the personalized parameters compared to that with the generic parameters, but significantly lower than that for the manual plan. John Wiley and Sons Inc. 2020-05-04 /pmc/articles/PMC7386185/ /pubmed/32363757 http://dx.doi.org/10.1002/acm2.12897 Text en © 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Xia, Wenlong
Han, Fei
Chen, Jiayun
Miao, Junjie
Dai, Jianrong
Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system
title Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system
title_full Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system
title_fullStr Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system
title_full_unstemmed Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system
title_short Personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in Pinnacle system
title_sort personalized setting of plan parameters using feasibility dose volume histogram for auto‐planning in pinnacle system
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386185/
https://www.ncbi.nlm.nih.gov/pubmed/32363757
http://dx.doi.org/10.1002/acm2.12897
work_keys_str_mv AT xiawenlong personalizedsettingofplanparametersusingfeasibilitydosevolumehistogramforautoplanninginpinnaclesystem
AT hanfei personalizedsettingofplanparametersusingfeasibilitydosevolumehistogramforautoplanninginpinnaclesystem
AT chenjiayun personalizedsettingofplanparametersusingfeasibilitydosevolumehistogramforautoplanninginpinnaclesystem
AT miaojunjie personalizedsettingofplanparametersusingfeasibilitydosevolumehistogramforautoplanninginpinnaclesystem
AT daijianrong personalizedsettingofplanparametersusingfeasibilitydosevolumehistogramforautoplanninginpinnaclesystem