ESTRO 2025 - Abstract Book

S3649

Physics - Quality assurance and auditing

ESTRO 2025

Results: Our application can automatically sequence pre-configured QA fields provided in either the Elekta file system (.efs) or as DICOM RT Plan files (.dcm), only requiring the operator to press the beam-on button for each exposure. By including “Move Only” segments, sequences can be designed to remove the need for manual “ASU” movements between exposures. We found using this program reduced the time required for dosimetric QC by 30%, and significantly reduced the likelihood of operator input errors. Conclusion: PyiCom demonstrates the use of the Elekta iCom Vx and Fx connections to automate QA field delivery and capture LINAC parameters, reducing the time required for QC measurements whilst improving repeatability and reducing transcription error. It has substantial future possibilities for further automating QC tasks by linking it to measurement devices or QC record management system such as QATrack+.

Keywords: Automation, Python, QC

References: 1 “IPEM Report Series: Report 81 2nd Edition Physics Aspects of Quality Control in Radiotherapy” – Institute of Physics and Engineering in Medicine, 2018. 2 “iCom Interface Information” – Elekta Limited, 2013 3 “Automatic C library wrapping - Ctypes from the trenches” – G.K. Kloss. Res. Lett. Inf. Math. Sci. Volume 13, 2009

2884

Mini-Oral Multi-institutional study on CT number variation using DirectDensity reconstruction

Manuela Burghelea 1 , Vicki Trier Taasti 2 , Patrick Wohlfhart 3 , Akos Gulyban 1 , Frederik Vanhoutte 4 , Evelien Bogaert 4 1 Department of Medical Physics, Université libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (HUB), Institut Jules Bordet, Brussels, Belgium. 2 Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark. 3 Cancer Therapy Imaging, Siemens Healthineers, Varian, Forchheim, Germany. 4 Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium

Purpose/Objective: The DirectDensity TM algorithm (Siemens Healthineers) aims at kV-independency of CT numbers, mainly impacting