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Dataset Information

Development and validation of a checklist for use with automatically generated radiotherapy plans.


ABSTRACT:

Purpose

To develop a checklist that improves the rate of error detection during the plan review of automatically generated radiotherapy plans.

Methods

A custom checklist was developed using guidance from American Association of Physicists in Medicine task groups 275 and 315 and the results of a failure modes and effects analysis of the Radiation Planning Assistant (RPA), an automated contouring and treatment planning tool. The preliminary checklist contained 90 review items for each automatically generated plan. In the first study, eight physicists were recruited from our institution who were familiar with the RPA. Each physicist reviewed 10 artificial intelligence-generated resident treatment plans from the RPA for safety and plan quality, five of which contained errors. Ph

SUBMITTER: Nealon KA 

PROVIDER: S-EPMC9512344 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature