16
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Evaluation of a knowledge-based planning solution for head and neck cancer.

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new patients and uses those models for setting optimization objectives. We benchmarked RapidPlan versus clinical plans for 2 patient groups, using 3 different libraries.

          Related collections

          Author and article information

          Journal
          Int. J. Radiat. Oncol. Biol. Phys.
          International journal of radiation oncology, biology, physics
          1879-355X
          0360-3016
          Mar 1 2015
          : 91
          : 3
          Affiliations
          [1 ] Department of Radiotherapy, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: j.tol@vumc.nl.
          [2 ] Department of Radiotherapy, VU University Medical Center, Amsterdam, The Netherlands.
          Article
          S0360-3016(14)04395-8
          10.1016/j.ijrobp.2014.11.014
          25680603
          f3412861-aa42-4a66-9540-04f52fe1d402
          Copyright © 2015 Elsevier Inc. All rights reserved.
          History

          Comments

          Comment on this article