Improving knowledge-based treatment planning for lung cancer radiotherapy with automatic multi-criteria optimized training plans.

Kristine FjellangerMarte HordnesInger Marie SandvikTurid Husevåg SulenBen J M HeijmenSebastiaan BreedveldLinda RossiHelge Egil Seime Pettersen Liv Bolstad Hysing

Published in: Acta oncologica (Stockholm, Sweden) (2023)

RP_MCO improved OAR sparing compared to RP_CLIN and was selected for implementation in the clinic. Training a KBP model with clinical plans may lead to suboptimal output plans, and making an extra effort to optimize the library plans in the KBP model creation phase can improve the plan quality for many future patients.

Keyphrases

health insurance
end stage renal disease
healthcare
primary care
ejection fraction
chronic kidney disease
early stage
machine learning
prognostic factors
quality improvement
virtual reality
radiation therapy
deep learning
peritoneal dialysis
squamous cell carcinoma
locally advanced
robot assisted
minimally invasive