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SU-E-T-572: A Plan Quality Metric for Evaluating Knowledge-Based Treatment Plans.

Publication ,  Conference
Chanyavanich, V; Lo, J; Das, S
Published in: Med Phys
June 2012

PURPOSE: In prostate IMRT treatment planning, the variation in patient anatomy makes it difficult to estimate a priori the potentially achievable extent of dose reduction possible to the rectum and bladder. We developed a mutual information-based framework to estimate the achievable plan quality for a new patient, prior to any treatment planning or optimization. METHODS: The knowledge-base consists of 250 retrospective prostate IMRT plans. Using these prior plans, twenty query cases were each matched with five cases from the database. We propose a simple DVH plan quality metric (PQ) based on the weighted-sum of the areas under the curve (AUC) of the PTV, rectum and bladder. We evaluate the plan quality of knowledge-based generated plans, and established a correlation between the plan quality and case similarity. RESULTS: The introduced plan quality metric correlates well (r2 = 0.8) with the mutual similarity between cases. A matched case with high anatomical similarity can be used to produce a new high quality plan. Not surprisingly, a poorly matched case with low degree of anatomical similarity tends to produce a low quality plan, since the adapted fluences from a dissimilar case cannot be modified sufficiently to yield acceptable PTV coverage. CONCLUSIONS: The plan quality metric is well-correlated to the degree of anatomical similarity between a new query case and matched cases. Further work will investigate how to apply this metric to further stratify and select cases for knowledge-based planning.

Duke Scholars

Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

June 2012

Volume

39

Issue

6Part19

Start / End Page

3837

Location

United States

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Chanyavanich, V., Lo, J., & Das, S. (2012). SU-E-T-572: A Plan Quality Metric for Evaluating Knowledge-Based Treatment Plans. In Med Phys (Vol. 39, p. 3837). United States. https://doi.org/10.1118/1.4735661
Chanyavanich, V., J. Lo, and S. Das. “SU-E-T-572: A Plan Quality Metric for Evaluating Knowledge-Based Treatment Plans.” In Med Phys, 39:3837, 2012. https://doi.org/10.1118/1.4735661.
Chanyavanich V, Lo J, Das S. SU-E-T-572: A Plan Quality Metric for Evaluating Knowledge-Based Treatment Plans. In: Med Phys. 2012. p. 3837.
Chanyavanich, V., et al. “SU-E-T-572: A Plan Quality Metric for Evaluating Knowledge-Based Treatment Plans.Med Phys, vol. 39, no. 6Part19, 2012, p. 3837. Pubmed, doi:10.1118/1.4735661.
Chanyavanich V, Lo J, Das S. SU-E-T-572: A Plan Quality Metric for Evaluating Knowledge-Based Treatment Plans. Med Phys. 2012. p. 3837.

Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

June 2012

Volume

39

Issue

6Part19

Start / End Page

3837

Location

United States

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • 5105 Medical and biological physics
  • 4003 Biomedical engineering
  • 1112 Oncology and Carcinogenesis
  • 0903 Biomedical Engineering
  • 0299 Other Physical Sciences