Automatic treatment planning implementation using a database of previously treated patients

J. A. Moore, K. Evans, W. Yang, J. Herman, Todd McNutt

Research output: Contribution to journalArticle

Abstract

Purpose: Using a database of prior treated patients, it is possible to predict the dose to critical structures for future patients. Automatic treatment planning speeds the planning process by generating a good initial plan from predicted dose values. Methods: A SQL relational database of previously approved treatment plans is populated via an automated export from Pinnacle3. This script outputs dose and machine information and selected Regions of Interests as well as its associated Dose-Volume Histogram (DVH) and Overlap Volume Histograms (OVHs) with respect to the target structures. Toxicity information is exported from Mosaiq and added to the database for each patient. The SQL query is designed to ask the system for the lowest achievable dose for a specified region of interest (ROI) for each patient with a given volume of that ROI being as close or closer to the target than the current patient. Results: The additional time needed to calculate OVHs is approximately 1.5 minutes for a typical patient. Database lookup of planning objectives takes approximately 4 seconds. The combined additional time is less than that of a typical single plan optimization (2.5 mins). Conclusions: An automatic treatment planning interface has been successfully used by dosimetrists to quickly produce a number of SBRT pancreas treatment plans. The database can be used to compare dose to individual structures with the toxicity experienced and predict toxicities before planning for future patients.

Original languageEnglish (US)
Article number012054
JournalJournal of Physics: Conference Series
Volume489
Issue number1
DOIs
StatePublished - 2014

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planning
dosage
histograms
toxicity
pancreas
optimization
output

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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Automatic treatment planning implementation using a database of previously treated patients. / Moore, J. A.; Evans, K.; Yang, W.; Herman, J.; McNutt, Todd.

In: Journal of Physics: Conference Series, Vol. 489, No. 1, 012054, 2014.

Research output: Contribution to journalArticle

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