Literature DB >> 23523366

Software for quantitative analysis of radiotherapy: overview, requirement analysis and design solutions.

Lanlan Zhang1, Martina Hub, Sarah Mang, Christian Thieke, Oliver Nix, Christian P Karger, Ralf O Floca.   

Abstract

Radiotherapy is a fast-developing discipline which plays a major role in cancer care. Quantitative analysis of radiotherapy data can improve the success of the treatment and support the prediction of outcome. In this paper, we first identify functional, conceptional and general requirements on a software system for quantitative analysis of radiotherapy. Further we present an overview of existing radiotherapy analysis software tools and check them against the stated requirements. As none of them could meet all of the demands presented herein, we analyzed possible conceptional problems and present software design solutions and recommendations to meet the stated requirements (e.g. algorithmic decoupling via dose iterator pattern; analysis database design). As a proof of concept we developed a software library "RTToolbox" following the presented design principles. The RTToolbox is available as open source library and has already been tested in a larger-scale software system for different use cases. These examples demonstrate the benefit of the presented design principles.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23523366     DOI: 10.1016/j.cmpb.2013.03.002

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  EView: An electric field visualization web platform for electroporation-based therapies.

Authors:  Enric Perera-Bel; Carlos Yagüe; Borja Mercadal; Mario Ceresa; Natalie Beitel-White; Rafael V Davalos; Miguel A González Ballester; Antoni Ivorra
Journal:  Comput Methods Programs Biomed       Date:  2020-08-02       Impact factor: 5.428

2.  Data collection of patient outcomes: one institution's experience.

Authors:  Thomas J Whitaker; Charles S Mayo; Daniel J Ma; Michael G Haddock; Robert C Miller; Kimberly S Corbin; Michelle Neben-Wittich; James L Leenstra; Nadia N Laack; Mirek Fatyga; Steven E Schild; Carlos E Vargas; Katherine S Tzou; Austin R Hadley; Steven J Buskirk; Robert L Foote
Journal:  J Radiat Res       Date:  2018-03-01       Impact factor: 2.724

3.  Development and validation of automatic tools for interactive recurrence analysis in radiation therapy: optimization of treatment algorithms for locally advanced pancreatic cancer.

Authors:  Kerstin A Kessel; Daniel Habermehl; Andreas Jäger; Ralf O Floca; Lanlan Zhang; Rolf Bendl; Jürgen Debus; Stephanie E Combs
Journal:  Radiat Oncol       Date:  2013-06-07       Impact factor: 3.481

  3 in total

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