Explicit optimization of plan quality measures in intensity‐modulated radiation therapy treatment planning. Issue 6 (4th May 2017)

• Record Type: Journal Article
• Authors: Engberg, Lovisa; Forsgren, Anders; Eriksson, Kjell; Hårdemark, Björn
• Is Part Of: Medical physics. Volume 44:Issue 6(2017)
• Page Start: 2045
• Page End: 2053
• Publication Date: 2017-05-04
• Subjects: convex optimization -- mean‐tail‐dose -- planning objectives; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1002/mp.12146
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: To formulate convex planning objectives of treatment plan multicriteria optimization with explicit relationships to the dose‐volume histogram (DVH) statistics used in plan quality evaluation. Methods: Conventional planning objectives are designed to minimize the violation of DVH statistics thresholds using penalty functions. Although successful in guiding the DVH curve towards these thresholds, conventional planning objectives offer limited control of the individual points on the DVH curve (doses‐at‐volume) used to evaluate plan quality. In this study, we abandon the usual penalty‐function framework and propose planning objectives that more closely relate to DVH statistics. The proposed planning objectives are based on mean‐tail‐dose, resulting in convex optimization. We also demonstrate how to adapt a standard optimization method to the proposed formulation in order to obtain a substantial reduction in computational cost. Results: We investigated the potential of the proposed planning objectives as tools for optimizing DVH statistics through juxtaposition with the conventional planning objectives on two patient cases. Sets of treatment plans with differently balanced planning objectives were generated using either the proposed or the conventional approach. Dominance in the sense of better distributed doses‐at‐volume was observed in plans optimized within the proposed framework. Conclusion: The initial computational study indicates that the DVH statistics are better optimized and more efficiently balanced using the proposed planning objectives than using the conventional approach.