SU‐GG‐T‐396: Automatic Analysis and Presentation of DVH Data Based On Custom Constraints — a Treatment Planning Report Card | Zendy

Kantor M | Zendy; Choi B | Zendy; Balter P | Zendy; Starkschall G | Zendy

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SU‐GG‐T‐396: Automatic Analysis and Presentation of DVH Data Based On Custom Constraints — a Treatment Planning Report Card

Author(s) -

Kantor M,

Choi B,

Balter P,

Starkschall G

Publication year - 2008

Publication title -

medical physics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.473

H-Index - 180

eISSN - 2473-4209

pISSN - 0094-2405

DOI - 10.1118/1.2962146

Subject(s) - workflow , computer science , plan (archaeology) , volume (thermodynamics) , scripting language , documentation , radiation treatment planning , set (abstract data type) , data set , data presentation , medical physics , data mining , database , artificial intelligence , medicine , programming language , physics , archaeology , quantum mechanics , history , radiation therapy

Purpose: To automatically compare dose volume histograms (DVHs) against a set of predetermined goals and constraints to facilitate pre‐treatment plan review. Method and Materials: The internal scripting language of the treatment planning system (Pinnacle 3 , Philips Medical Systems, Milpitas CA) is used to prepare DVH data for evaluation against a set of constraints identified by ROI name. These settings can specify maximum percent volume by dose, maximum dose for a percent volume, or a maximum point dose. The results are displayed in a dialog box and can also be saved or printed for inclusion in the plan documentation. Results: This program functions as planned, and completes its execution quickly. The dosimetrist's workflow is affected only marginally. Conclusion: The extra information provided by this analysis has been valuable to the staff responsible for plan review. This work has been supported in part by a Sponsored Research Agreement with Philips Healthcare.

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