TY - JOUR
T1 - Clinical application of a template-guided automated planning routine
AU - Schmidt, Matthew
AU - Abraham, Christopher
AU - Huang, Jiayi
AU - Robinson, Clifford
AU - Hugo, Geoffrey
AU - Knutson, Nels C.
AU - Sun, Baozhou
AU - Raranje, Chipo
AU - Sajo, Erno
AU - Zygmanski, Piotr
AU - Jandel, Marian
AU - Szentivanyi, Peter
AU - Hilliard, Jessica
AU - Hamilton, Jessica
AU - Reynoso, Francisco J.
N1 - Funding Information:
Matthew C. Schmidt reports consulting fees and honoraria with Varian Medical systems, inc and Lifeline Software, LLC unrelated to this work. Geoffrey Hugo reports grants from the American Heart Association, Varian Medical Systems, and Viewray, Inc. and personal fees from Varian Medical Systems outside the submitted work. In addition, Dr. Hugo has patents pending licensed to Varian Medical Systems outside of the submitted work. Francisco J. Reynoso reports honoraria for teaching profressional services with Varian Medical Systems unrelated to this work. Clifford G. Robinson has received grants from Varian Medical Systems, Inc and Elekta AB and consulting and speaking honoraria from Varian Medical Systems, Inc and Viewray Technologies, Inc unrelated to this work. Nels C Knutson has received research grants from Varian Medical Systems, Inc and consulting and speaking honoraria from Varian Medical Systems, Inc unrelated to this work. All other authors report no conflicts of interest.
Publisher Copyright:
© 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine.
PY - 2022
Y1 - 2022
N2 - Purpose: Determine the dosimetric quality and the planning time reduction when utilizing a template-based automated planning application. Methods: A software application integrated through the treatment planning system application programing interface, QuickPlan, was developed to facilitate automated planning using configurable templates for contouring, knowledge-based planning structure matching, field design, and algorithm settings. Validations are performed at various levels of the planning procedure and assist in the evaluation of readiness of the CT image, structure set, and plan layout for automated planning. QuickPlan is evaluated dosimetrically against 22 hippocampal-avoidance whole brain radiotherapy patients. The required times to treatment plan generation are compared for the validations set as well as 10 prospective patients whose plans have been automated by QuickPlan. Results: The generations of 22 automated treatment plans are compared against a manual replanning using an identical process, resulting in dosimetric differences of minor clinical significance. The target dose to 2% volume and homogeneity index result in significantly decreased values for automated plans, whereas other dose metric evaluations are nonsignificant. The time to generate the treatment plans is reduced for all automated plans with a median difference of 9′ 50″ ± 4′ 33″. Conclusions: Template-based automated planning allows for reduced treatment planning time with consistent optimization structure creation, treatment field creation, plan optimization, and dose calculation with similar dosimetric quality. This process has potential expansion to numerous disease sites.
AB - Purpose: Determine the dosimetric quality and the planning time reduction when utilizing a template-based automated planning application. Methods: A software application integrated through the treatment planning system application programing interface, QuickPlan, was developed to facilitate automated planning using configurable templates for contouring, knowledge-based planning structure matching, field design, and algorithm settings. Validations are performed at various levels of the planning procedure and assist in the evaluation of readiness of the CT image, structure set, and plan layout for automated planning. QuickPlan is evaluated dosimetrically against 22 hippocampal-avoidance whole brain radiotherapy patients. The required times to treatment plan generation are compared for the validations set as well as 10 prospective patients whose plans have been automated by QuickPlan. Results: The generations of 22 automated treatment plans are compared against a manual replanning using an identical process, resulting in dosimetric differences of minor clinical significance. The target dose to 2% volume and homogeneity index result in significantly decreased values for automated plans, whereas other dose metric evaluations are nonsignificant. The time to generate the treatment plans is reduced for all automated plans with a median difference of 9′ 50″ ± 4′ 33″. Conclusions: Template-based automated planning allows for reduced treatment planning time with consistent optimization structure creation, treatment field creation, plan optimization, and dose calculation with similar dosimetric quality. This process has potential expansion to numerous disease sites.
KW - automated planning
KW - ESAPI
KW - knowledge-based planning
KW - treatment planning
UR - http://www.scopus.com/inward/record.url?scp=85141628107&partnerID=8YFLogxK
U2 - 10.1002/acm2.13837
DO - 10.1002/acm2.13837
M3 - Article
C2 - 36347220
AN - SCOPUS:85141628107
JO - Journal of Applied Clinical Medical Physics
JF - Journal of Applied Clinical Medical Physics
SN - 1526-9914
ER -