ESTRO 2024 - Abstract Book

S2736

Interdisciplinary - Global health

ESTRO 2024

Conclusion:

Screening for depression among Radiation Oncology patients can be quick and easy. The aim is to target patients who are likely to benefit from psychological support.

Keywords: Depression, Quality of life, Healthcare journey

References:

(1) Prevalence of depression in cancer patients: a meta-analysis of diagnostic interviews and self-report instruments A. M. H. Krebber, L. M. Buffart, G. Kleijn, I. C. Riepma, R. de Bree, C. R. Leemans, A. Becker, J. Brug, A. van Straten, P. Cuijpers, I. M. Verdonck-de Leeuw (2) Factors associated with depression over time in head and neck cancer patients: A systematic review Laura H.A. Korsten, Femke Jansen, Ben J.F. de Haan, Danielle Sent, Pim Cuijpers, C. René Leemans, Irma M. Verdonck-de Leeuw

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Digital Poster

Developing a cloud-based tool to improve radiotherapy contouring training in low-resourced settings

Thea Hope-Johnson 1 , Gregorius B Prajogi 2 , Teuku M Khaled 2 , Dorothy Lombe 3 , Eric Addison 4 , Barbara Chanda M'ule 5 , Simon Hughes 6,7 , Philippa Lewis 8 , Todd Dembrey 9 , Ajay Aggarwal 6,7 1 Somerset NHS Foundation Trust, Clinical Oncology, Taunton, United Kingdom. 2 Cipto Mangunkusumo General Hospital, Department of Radiation Oncology, Jakarta, Indonesia. 3 Mid Central District Health Board, Regional Cancer Treatment Services, Palmerston North, New Zealand. 4 Komfo Anokye Teaching Hospital, Oncology, Kumasi, Ghana. 5 Cancer Diseases Hospital, Medical Physics, Lusaka, Zambia. 6 King's College London, School of Cancer and Pharmaceutical Sciences, London, United Kingdom. 7 Guy's and St Thomas' NHS Foundation Trust, Guy's Cancer Centre, London, United Kingdom. 8 Royal United Hospitals Bath, Clinical Oncology, Bath, United Kingdom. 9 University Hospitals Bristol and Weston NHS Foundation Trust, Oncology, Bristol, United Kingdom

Purpose/Objective:

As the burden of cancer in low and middle-income countries (LMICs) rises (1), investment in training of radiation oncologists is needed to address a growing need for radiotherapy (2).

Contouring target volumes and organs at risk is a core skill that radiation oncologists must acquire to deliver modern radiotherapy yet requires dedicated training to develop (3).

Digital learning tools designed to improve contouring skills and electronic portfolios have been heralded as potential solutions to increase training capacity in LMICs (4,5), where trainees face barriers to learning such as few clinicians per population and high workloads (6). Previous efforts have been made to use cloud-based software

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