Head and neck cancer radiation therapy treatment planning decision support and benchmarking

Trent Benedick; Xinming Li; Lisa Meng; Eric Manning; Ahn Le; Brent Liu

doi:10.1117/12.2613538

4 April 2022 Head and neck cancer radiation therapy treatment planning decision support and benchmarking

Trent Benedick, Xinming Li, Lisa Meng, Eric Manning, Ahn Le, Brent Liu

Proceedings Volume PC12037, Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications; PC120370C (2022) https://doi.org/10.1117/12.2613538
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

We create an informatics web application which uses algorithmic analysis of historical cases to introduce uniformity and data driven methods into the radiation therapy treatment process by providing treatment planning templates and treatment benchmarking. The database the system uses consists of historical DICOM RT objects from which we extract spatial quantitative features. These values are used to generate a list of historical cases from our database similar to a current case which a physician can then use as templates for treatment planning. Our system aims to introduce uniformity of methods and data driven methods into radiation therapy treatment planning.

Conference Presentation

Citation Download Citation

Trent Benedick, Xinming Li, Lisa Meng, Eric Manning, Ahn Le, and Brent Liu "Head and neck cancer radiation therapy treatment planning decision support and benchmarking", Proc. SPIE PC12037, Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications, PC120370C (4 April 2022); https://doi.org/10.1117/12.2613538

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available