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Journal of Radiation Oncology Informatics  
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  This is an Open Access Journal Open Access journal
   ISSN (Print) 1663-618X
   Published by Society for Radiation Oncology Informatics Homepage  [1 journal]
  • A Rational Informatics-enabled approach to Standardised Nomenclature of
           Contours and Volumes in Radiation Oncology Planning

    • Authors: Alexis Andrew Miller
      Abstract: The standardising of nomenclature in the radiotherapy planning process has deep implications for the abilityof the profession to examine the adequacy of construction of radiotherapy plans in outcomes research, particularly in relation to disease control and toxicity generation. This paper proposes an interim standardisednomenclature which can be used by any institution as a template for a mappable local standard.The nomenclature is systematically constructed using the Foundational Model of Anatomy, ICRU Report 50 and ICRU report 62. The system foreshadows a XML metadata structure to detail the method of constructionof volumes. Treatment Planning System vendors should build their software with the ability to use this systematic construction technique so that contours and volumes in a radiotherapy plan can be annotated. Thismetadata will allow the investigation of how a radiation plan's construction can a ect the therapy outcome.
      PubDate: 2014-06-19
      Issue No: Vol. 6 (2014)
  • RadOnc: An R Package for Analysis of Dose-Volume Histogram and
           Three-Dimensional Structural Data

    • Authors: Reid F. Thompson
      Abstract: Purpose/Objectives:  Dose volume histogram (DVH) data are generally analyzed within the context of a treatment planning system (TPS) on a per-patient basis, with evaluation of single-plan or comparative dose distributions. However, TPS software generally cannot perform simultaneous comparative dosimetry among a cohort of patients.  The same limitations apply to parallel analyses of three-dimensional structures and other clinical data. Materials/Methods: We developed a suite of tools ("RadOnc" package) using R statistical software to better compare pooled DVH data and empower analysis of structure data and clinical correlates. Representative patient data were identified among previously analyzed adult (n=13) and pediatric (n=1) cohorts and these data were used to demonstrate the performance and functionality of the RadOnc package. Results: The RadOnc package facilitates DVH data import from the TPS and includes automated methods for DVH visualization, dosimetric parameter extraction, statistical comparison among multiple DVHs, basic three-dimensional structural processing, and visualization tools to enable customizable production of publication-quality images. Conclusions:  The RadOnc package provides a potent clinical research tool with the ability to integrate robust statistical software and dosimetric data from cohorts of patients.  It is made freely available to the community for their current use and remains under active development.
      PubDate: 2014-06-19
      Issue No: Vol. 6 (2014)
  • Using crowd-sourcing to Verify a Radiation Oncology Ontology: a Summer

    • Authors: Joshua Pratt, Vishal Pandian, Evan Morrison, Alexis Andrew Miller
      Abstract: We have been unable to nd a verifi ed, published Radiation Oncology Ontology. We undertook the process of verifying a Radiation Oncology Ontology with a mixture of crowd-sourcing and expert-based approaches to verify relationships in the ontology. We used a natural language based approach to portray concepts and relationships, surveying users to assess the relationships between concepts in the Radiation Oncology ontology. The work used a description of a patient's history expressed in XML.The natural language statements relating concepts are available on a website for veri cation, and readers are invited to complete the survey at to contribute.
      PubDate: 2014-06-19
      Issue No: Vol. 6 (2014)
  • PROsaiq: A Smart Device-Based and EMR-Integrated System for
           Patient-Reported Outcome Measurement in Routine Cancer Care

    • Authors: Thilo Schuler, Alexis Andrew Miller
      Abstract: The PROsaiq prototype, which is based on the use of smart devices, was developed to show the technical feasibility of a lean, low-cost ePRO system that integrated with the oncology information system MOSAIQ to provide the potential for benefits in routine patient care, and improved data for clinical research. The system was built with Free & Open Source Software and trialled for a limited number of assessments. The report describes the components used, the decisions made and the hurdles met during the project. An on-line demonstration system is available to showcase PROsaiq’s functionality.
      PubDate: 2014-06-19
      Issue No: Vol. 6 (2014)
  • Operations Research Methods for Optimization in Radiation Oncology

    • Authors: Matthias Ehrgott, Allen Holder
      Abstract: Operations Research has a successful tradition of applying mathematical analysis to a wide range of applications, and problems in Medical Physics have been popular over the last couple of decades. The original application was in the optimal design of the uence map for a radiotherapy treatment, a problem that has continued to receive attention. However, Operations Research has been applied to other clinical problems like patient scheduling, vault design, and image alignment. The overriding theme of this article is to present how techniques in Operations Research apply to clinical problems, which we accomplish in three parts. First, we present the perspective from which an operations researcher addresses a clinical problem. Second, we succinctly introduce the underlying methods that are used to optimize a system, and third, we demonstrate how modern software facilitates problem design. Our discussion is supported by several publications to foster continued study. With numerous clinical, medical, and managerial decisions associated with a clinic, operations research has a promising future at improving how radiotherapy treatments are designed and delivered.
      PubDate: 2014-02-16
      Issue No: Vol. 6 (2014)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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