How Would You Match It? Development of a Case-based Volumetric IGRT Continuing Education Platform

Li, Winnie; Pidgeon, Brandee; Ellis, Claire; Hill, Christine; Ishmail, Nareesa; Mendoza, Michelle; Seco, Petula; Wong, Millie; Moseley, Douglas

doi:10.1016/j.jmir.2015.01.025

Cited by 3 publications

(2 citation statements)

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“…We found the best solution was to provide specific details such as the set‐up and immobilisation, diagnosis, care plan and dose prescription for each module. This is consistent with the case‐based approach recommended in the literature 9,13,14 and the National Radiotherapy Implementation Group (NRIG) recommendations 9…”

Section: Case‐based Learningsupporting

confidence: 85%

The implementation of MOSAIQ‐based image‐guided radiation therapy image matching within radiation therapy education

Chamunyonga

Rutledge

Caldwell

et al. 2020

J of Medical Radiation Sci

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Image‐guided radiation therapy (IGRT) technologies are routinely used by radiation therapists (RTs) in clinical departments. However, there is limited literature on the acquisition and assessment of IGRT image‐matching competencies in undergraduate educational environments. This commentary paper aims to share the authors’ experiences in the development of teaching IGRT and image‐matching concepts in an undergraduate radiation therapy programme. It outlines how MOSAIQ oncology information systems (OIS) have enabled the university to embed hands‐on IGRT image matching on a range of clinical cases. The hands‐on exposure to case‐based planar and volumetric kilovoltage (kV) image matching has resulted in improved teaching and better preparation of students for clinical IGRT encounters. Students are likely to benefit from critical image assessment and decision‐making as well as the improved engagement in teaching and learning.

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Section: Case‐based Learningsupporting

confidence: 85%

The implementation of MOSAIQ‐based image‐guided radiation therapy image matching within radiation therapy education

Chamunyonga

Rutledge

Caldwell

et al. 2020

J of Medical Radiation Sci

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“…It seems clear that an approach using case studies is beneficial (Li et al, 2015), but developing and setting this up in an HEI is difficult for both practical reasons and the ability of academic staff to deliver this training. As previously discussed, using clinical software as a form of simulation is difficult and issues around patient anonymity and the ability to copy retrospective patient data is problematic as software is written with a focus on patient safety.…”

Section: Trainingmentioning

confidence: 99%

Clinical reasoning in image guided radiotherapy: A multimethod study

Collins¹

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Cone Beam Computer Tomography CT Computer Tomography CTV Clinical Target Volume Relevance Include Exclude Studies that specifically investigated the processes used during clinical decision-making. These can be carried out in the natural or simulated environment. Studies that specifically investigated image interpretation during diagnostic review and reporting. Seminal texts related to general decision-making theory to be read to inform the wider discussion. Decision-making studies unrelated to the clinical setting. Ethics Include Exclude Studies where ethical approval has been sought and granted where relevant. Studies where consideration of ethical approval is not evident. The search process is shown in Figure 2.0 using a PRISMA flow diagram (Moher, Liberati, Tetzlaff, & Altman, 2009). The search identified 82 articles that met the search criteria. The majority of articles were discussion papers and non-systematic literature reviews (n=58). These articles were used to form some of the underpinning theoretical descriptions in the chapter, but did not meet the minimum requirements of the relevant SIGN quality checklist. The remaining 24 articles were case studies that typically investigated clinical reasoning in a specific setting and these underwent full review. Despite being outside of the inclusion criteria on the basis of date, Fonteyn and Grobe (1992) was identified as a seminal article during the review process and so was included for full review. An overview of the articles that underwent full review are shown in Appendix 1.

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Evaluating the Effectiveness of an Electronic Learning Tool for Volumetric Imaging Training—Perceptions of Radiation Therapy Professionals

Wong

Gillan

Harnett

et al. 2017

Journal of Medical Imaging and Radiation Sciences

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How Would You Match It? Development of a Case-based Volumetric IGRT Continuing Education Platform

Cited by 3 publications

References 0 publications

The implementation of MOSAIQ‐based image‐guided radiation therapy image matching within radiation therapy education

The implementation of MOSAIQ‐based image‐guided radiation therapy image matching within radiation therapy education

Clinical reasoning in image guided radiotherapy: A multimethod study

Evaluating the Effectiveness of an Electronic Learning Tool for Volumetric Imaging Training—Perceptions of Radiation Therapy Professionals

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