Online

ESTRO 2020

Session Item

Saturday
November 28
08:00 - 08:40
Physics Stream 1
Do’s and don’ts in automated treatment planning – optimising conditions and expectations
00004
Teaching Lecture
Physics
08:00 - 08:40
Do’s and don’ts in automated treatment planning – optimising conditions and expectations \r
Ben Heijmen, The Netherlands
SP-0008

Abstract

Do’s and don’ts in automated treatment planning – optimising conditions and expectations \r
Authors: S BREEDVELD.(ERASMUS MC CANCER INSTITUTE ROTTERDAM, RADIATION ONCOLOGY, ROTTERDAM, The Netherlands), M DIRKX.(ERASMUS MC CANCER INSTITUTE ROTTERDAM, RADIATION ONCOLOGY, ROTTERDAM, The Netherlands), BEN HEIJMEN.(ERASMUS MC CANCER INSTITUTE ROTTERDAM, RADIATION ONCOLOGY, ROTTERDAM, The Netherlands), J PENNINKHOF.(ERASMUS MC CANCER INSTITUTE ROTTERDAM, RADIATION ONCOLOGY, ROTTERDAM, The Netherlands), L ROSSI.(ERASMUS MC CANCER INSTITUTE ROTTERDAM, RADIATION ONCOLOGY, ROTTERDAM, The Netherlands), A SHARFO.(ERASMUS MC CANCER INSTITUTE ROTTERDAM, RADIATION ONCOLOGY, ROTTERDAM, The Netherlands)
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Abstract Text
Abstract text

Recently, many publications have appeared on development and validation of algorithms for automated treatment planning. Apart from large reductions in treatment planning workload, also significant increases in plan quality have been reported, depending on the applied algorithm and performed study. Clinical implementation of these algorithms is not trivial. Apart from technical/algorithmic issues, also logistical and organizational aspects need to be carefully addressed for making clinical use a success. This lecture will focus on measures and conditions for effective, efficient and safe clinical use of automated planning.