In this webinar, we will share our clinical experiences with RadCalc’s 3D EPID module.

Firstly, the commissioning process of this 3D EPID module will be shown, and Wang Ruoxi will demonstrate their in-house solution to fully automate the data pipeline (i.e. from the dosimetry image acquisition to the 3D dose reconstruction). He will then present the validation of the EPID 3D module, which was performed by comparing the reconstructed dose distribution both with the dose distribution calculated from the TPS, and with the phantom-based measurements. Furthermore, error detectability tests were performed and in order to demonstrate the value of the EPID-based reconstructed dose distribution, treatment plans with manually introduced errors were delivered and the corresponding dosimetric influences were evaluated with the 3D EPID module.

Finally, the presentation will be summarized with potential clinical benefits from the RadCalc’s 3D EPID module.

Ruoxi Wang received his doctorate from Université Claude Bernard Lyon 1, France, in 2015. He was engaged in the research and development of new dosimeters in Lyon Institute of Nanotechnology. After graduation, he joined Beijing Cancer Hospital in 2017, where he is a medical physicist in the Department of Radiotherapy.

His main areas of research are: application of Monte Carlo simulation method in the field of medical physics (dose deposition calculation, dosimeter simulation), in-body dose reconstruction, new methods of radiotherapy quality control and assurance, and automatic radiotherapy planning.