The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 04, 2020

Filed:

May. 12, 2017
Applicant:

Washington University, St. Louis, MO (US);

Inventors:

Kevin L. Moore, St. Louis, MO (US);

Sasa Mutic, Creve Coeur, MO (US);

Ryan Scott Brame, Chesterfield, MO (US);

Lindsey Appenzoller, St. Louis, MO (US);

Assignee:

Washington University, St. Louis, MO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01); G01N 33/50 (2006.01); G16H 50/50 (2018.01); G06N 20/00 (2019.01); A61N 5/10 (2006.01); G06F 19/00 (2018.01); G06N 5/04 (2006.01); G16B 40/00 (2019.01);
U.S. Cl.
CPC ...
G16H 50/50 (2018.01); A61N 5/1031 (2013.01); G06F 19/3481 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G16B 40/00 (2019.02);
Abstract

Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.


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