ESTRO meets Asia 2024 - Abstract Book

S121

Interdisciplinary – Education in radiation oncology

ESTRO meets Asia 2024

clinical oncology trainees (trainees). This paper aims to report the implementation of a cloud-based treatment planning system (TPS) for contouring education at the Universiti Malaya.

Material/Methods:

We adopted a cloud-based TPS (Eclipse v16.1, Varian Medical Systems, Palo Alto, USA) as a teaching tool between September 2023 and December 2023 in this pilot project. We identified the specific contouring needs of trainees based in different oncology centers in Malaysia. Suitable patient image data was prepared and loaded into the TPS, ensuring anonymity and duplicating single image datasets for multiple users. Tasks were assigned to selected trainees, who executed contouring exercises under the guidance of designated clinical oncologists (trainers). Live online sessions were conducted by the clinical oncologists (trainers) via Zoom platform to share current contouring practices based on tumour sites and to evaluate the individual contouring done by the trainees.

Results:

The deployment of the cloud-based TPS enabled the trainees and trainers to access the customised cloud-based TPS facility anytime at anywhere. Seven (7) cancer types were included, namely prostate, rectum, lung, cervix, nasopharynx, hypopharynx, and glioblastoma. Standardised contouring guidelines including volume label and colour were established to promote uniformity across trainees and trainers, enhancing the quality and consistency of contouring practices. Interactive online sessions facilitated real-time discussions and feedback amongst the trainees and trainers, fostering a dynamic learning environment. Initial feedback from participants indicates that the cloud-based approach is beneficial in the learning process. However, the satisfaction level is influenced by the stability of the network at the point of access and the technical specifications of the computers used.

Conclusion:

The Universiti Malaya's pioneering experience with the cloud-based treatment planning streamlined the contouring education process, enabling remote access and collaborative learning among clinical oncology trainees and trainers. By leveraging technology to enhance innovative learning approaches and standardise practices, this initiative poses significant potential in advancing oncology education and improving patient care outcomes.

Keywords: educational cloud, treatment planning system

References:

1. Yong Hum Na et al. 2013. Toward a web-based real-time radiation treatment planning system in a cloud computing environment. Phys. Med. Biol. 58 (18)

2. Matthew M. Culbert, Ryan J. Brisson, Oluwadamilola T. Oladeru. 2022. The landscape of digital resources in radiation oncology. Technical Innovations & Patient Support in Radiation Oncology. 24.

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Proffered Paper