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TU-E-BRB-02: A Decision Support Tool for SBRT Planning Using a Searchable DVH Database.

J Lewis1,2, R Mak1,2, C Molodowitch1,2

  • 1Brigham and Women's Hospital, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA.

Medical Physics
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

A new software tool helps radiation oncology teams compare treatment plans against historical data. This decision support system aids in assessing and improving plan quality for better patient outcomes.

Keywords:
CancerComputer softwareDatabasesLungsMedical treatment planningPhysicistsRadiation therapy

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Health Informatics

Background:

  • Accurate assessment of radiation therapy plan quality is crucial for effective cancer treatment.
  • Comparing new treatment plans to historical data can identify areas for improvement.

Purpose of the Study:

  • To develop a decision support tool for radiation oncology professionals.
  • To enable comparison of new treatment plans with historical plans for similar clinical situations.

Main Methods:

  • A database was created to store dose-volume histograms (DVHs) and 24 other treatment plan characteristics.
  • Data was captured from treatment planning systems using DICOM RT files and manual input.
  • Software automatically matched structures and provided visual and statistical comparisons of current vs. historical DVHs.

Main Results:

  • 111 lung stereotactic body radiation therapy (SBRT) plans were imported into the database.
  • Analysis of plans for tumors >7.5cc showed average PTV coverage of 94.2%, while tumors =7.5cc had 94.9% coverage.
  • The tool facilitates easy comparison of plan characteristics and DVHs.

Conclusions:

  • A searchable DVH database was successfully constructed for plan comparison.
  • The tool provides a straightforward method for planners, physicists, and physicians to evaluate treatment plans.
  • Future integration of outcome data will enhance the tool's utility for decision support and research.