ESTRO 2022 - Abstract Book

S1646

Abstract book

ESTRO 2022

Key findings: •

80% of HEIs and 98% of HCPs were in favour of standardising clinical assessment documentation. • HEIs, HCPs and students felt simulation could replace up to 20% of clinical practice. • 70% of HEI’s and 51% of HCP’s surveyed had informal student support mechanisms however only 15% of HCP’s and 20% of HEI’s had extra support for year 2 • Physical and mental health and wrong career choice, were the most common reasons for attrition. • Recruitment initiatives were evident in all HEI’s and in 82% of HCP’s, however, only 27% of HCP’s were involved in retention initiatives. • Formal use of ‘culture of care’ tools was not standard practice. • All HEI’s had a transition to professional practice. 80% of HCP’s had a preceptorship programme with 20% collaborating with local HEI • Only 20% awareness of RePAIR from survey findings

Conclusion Priority areas were identified and developed into workstreams:

1.

Effective recruitment initiatives (e.g. outreach)

2. Effective retention initiatives, student support toolkit, return to practice 3. Strategies to increase student placement capacity (e.g. simulation and non-traditional placements) 4. Placement allocation and funding support 5. Standardised clinical assessment documentation 6. Preparation for practice (e.g preceptorship) This led to the development of an online toolkit – AHP Support Programme for Implementing Recruitment, Retention and Engagement (ASPIRRE),

Standalone projects were identified, requiring separate research and development.

• National project exploring requirements of implementing standardised clinical assessment.

• Production of a professional body guidance document on simulation within pre-registration Therapeutic Radiography education and training programmes These projects address student and professional workforce growth, placement expansion and transformation requirements.

PO-1855 application of advanced mri techniques in patients affected by meningioma treated with protontherapy

L. Anemoni 1 , I.E. Mascayano 1 , L. Preda 2 , E. Orlandi 1 , M.S. Cadeo 1 , A. Mancin 1 , M.E. Piazzolla 1 , S. Tampellini 1

1 Fondazione CNAO, Radiotherapy, Pavia, Italy; 2 IRCCS Ospedale San Matteo, Radiology, Pavia, Italy

Purpose or Objective In the panorama of advanced magnetic resonance imaging (MRI) techniques, Diffusion Weighted Imaging (DWI) proved to be a valuable diagnostic tool in the neuro-oncologic field: a recent development of Diffusion Imaging is represented by the Intravoxel Incoherent Motion technique (IVIM) which allows to study,in a more specific way, the diffusivity of the tissues of an organism, also taking into account their vascular micro-perfusivity.The following work carried out aims to verify through the processing of data obtained from imaging techniques DWI-MRI and IVIM-MRI to detect early changes in diffusion, preudo- diffusion and perfusion properties of normal tissue in patients affected by meningioma. Materials and Methods Quantitative data set related to the diffusiveness of the healthy white matter (WM) of ten patients suffering from anaplastic meningioma treated with Protontherapy before the start of treatment and in the follow-up at 3, 6 and 9 months after the end of the treatment were analysed. The data were collected in post-processing using a specific software from multiparametric maps (ADC, D, D* and f) in turn extrapolated from DWI-MRI sequences, obtaining for each patient the total number of WM voxels contoured, the total volume included in the contours (mm 3 ) and the average intensity of voxels with the relative standard deviation DS ( σ ). Results The results obtained concerning the mean intensity values (mm 2 /s) of ADC, D, D* and f show a homogeneous trend both in comparison of these for each patient and among the ten patients examined, with small discrepancies between them: ADC= 0,79x10-3 mm 2 /s (±150,3628 mm 2 /s); D= 0,70 × 10 − 3 mm 2 /s (±159,0189mm 2 /s); D*= 1,3 × 102 mm 2 /s (±0,0335 mm 2 /s); f= 1,1x10 mm 2 /s (±0,1052 mm 2 /s). D is similar to ADC, but it's larger as it takes into account, as a loss contribution to the signal , not only perfusion but also the effect of diffusion; D*, as a result of microperfusion in capillaries is shown to be greater than D. D* as well as f, due to the inability of the MRI scanner to acquire images at low b-values (0-50 s/mm 2 ), where micro-perfusion gives a greater contribution to signal loss than diffusion, could provide less accurate data than desirable. Conclusion In conclusion, it was observed that the ADC value obtained from DWI sequences is (0.79x10-3 mm 2 /s) in line with the expected values in the literature of neuro-oncological studies (0,319–1,05 × 10 − 3mm 2 /s). In ight of these considerations, it