ESTRO 2020 Abstract Book

S190 ESTRO 2020

0.77±0.16(ABS19). When comparing ABS19 to ABS26 an increase of 10% was observed for the bladder contour (0.76±0.15 to 0.84±0.07). Despite this increase the contours using the MBS model were always better. Different results were obtained for the rectum and the femurs where increasing the number of patients in the model from ABS19 to ABS26 did not improved the DICE index: rectum (0.74±0.08 vs 0.73±0.08) and femurs (0.95±0.01) for both. On average, contours done using an ABS model take from 3-10 minutes to be created depending on the number of patients used to create the model compared to 1-2 minutes using MBS. Conclusion Despite the fact that our results show that MBS should be use for contouring the bladder and ABS for the rectum in our clinic we found that drawing these contours by hand gives better results in less time. For the femurs, since both models gave comparable results; we decided to use MBS based on the time it takes to create the contours compared to ABS. In the future we would like to do further comparisons of our findings vs. deep-learning in RS. OC-0354 Cautiously optimistic: A survey of radiation oncology professionals’ perceptions of automation V. Batumalai 1,2 , M.G. Jameson 1,2 , O. King 1 , R. Walker 1 , C. Slater 1 , K. Dundas 1,2 , G. Dinsdale 1 , A. Wallis 1 , C. Ochoa 1 , R. Gray 1 , P. Vial 1 , S.K. Vinod 1,2 1 South Western Sydney Local Health District, Department of Radiation Oncology & Ingham Institute, Sydney, Australia ; 2 University of New South Wales, South Western Sydney Clinical School, Sydney, Australia Purpose or Objective Given the increased demand for health services, automation processes and technological advances within the workforce are increasing. While there is evidence to show the positive effects of automation in improving overall radiotherapy department efficiency, there is no research to show how radiation oncology professionals perceive these changes. This study examined radiation oncology professionals’ perceptions of automation in An online survey link was sent to the chief radiation therapists of all Australian radiotherapy centres. It was requested that the survey be sent to all radiation therapists (RT), medical physicists (MP) and radiation oncologists (RO) within their institution. The survey was open from May – July 2019. Questions included the current and planned level of automation in departments and opinions on the effect of automation on specific tasks, roles and jobs. Results Participants were 204 RTs, 84 MPs and 37 ROs with estimated response rates of 10% of the overall Australian radiation oncology workforce. Respondents reported that most planning tasks are ‘somewhat automated’ or ‘automated with manual tuning’ (Figure 1). 69% of respondents felt very probably/probably empowered to drive decisions about implementing automated planning processes. 66% of respondents indicated they thought automation in planning was very important/important. Respondents felt automation resulted in improvement in work output and productivity (88%), quality of planning (57%), consistency in planning (90%) and staff focus on patient care (49%). When asked about perceived impact of automation, the following responses were recorded; will change the primary tasks of certain jobs (66%), will allow staff to do the remaining components of their job more radiotherapy planning. Material and Methods

effectively (51%), will eliminate jobs (20%), will not have an impact on jobs (6%), and not concerned at all with automation (9%). 27% of staff believe automation will reduce job satisfaction (Figure 2). 71% of respondents strongly agree/agree that automation will cause a loss of understanding of general principles of radiotherapy, while only 25% respondents strongly agree/agree that the current training and education tools provided by their department are sufficient to ensure staff do not lose their skillsets.

Figure 1: Current level of automation in radiotherapy centres

Figure 2: Staff attitude toward automation in radiotherapy planning Conclusion Although the effect of automation is perceived positively with respect to work output and productivity, there are some concerns on loss of skillsets and the lack of training to maintain this. These results highlight the need for continued education to ensure that basic skills and knowledge of the principles of radiotherapy are not lost with automation of tasks in radiation oncology.

Poster Highlights: Poster highlights 11 CL : CNS

PH-0355 Impact of fractionation on brain metastases and neurocognitive toxicity of PCI in stage III NSCLC

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PH-0356 Long-term results after radiosurgery (SRS) of vestibular schwannomas (VS). A retrospective analysis. P. Anselmo 1 , V. Pinzi 2 , S. Terenzi 1 , E. De Martin 2 , F. Trippa 1 , P. Gaviani 3 , M. Casale 1 , L. Fariselli 2 , E. Maranzano 1 1 Ospedale Santa Maria, Radiotherapy Oncology Centre, Terni, Italy ; 2 Fondazione IRCCS Istituto neurologico