Abstract Book

S1194

ESTRO 37

isocentre treatment considerably reduces the treatment time when compared to two isocentre plans. EP-2161 Optimizing preclinical research by using a data management platform L. Persoon 1 , S.J. Van Hoof 2 , P.V. Granton 2 , H. Beunk 1 , J.W. Doosje 1 , F. Verhaegen 3 1 ICT Group N.V., Healthcare, Eindhoven, The Netherlands 2 SmART Scientific Solutions B.V., N/A, Maastricht, The Netherlands 3 MAASTRO clinic, Department of Radiation Oncology, Maastricht, The Netherlands Purpose or Objective Radiobiological preclinical in vivo research is rapidly gaining interest as recent technological advances have produced equipment which can precisely irradiate targets and use advanced onboard image-guidance, mimicking a clinical environment. The goal of preclinical studies is to translate the result to clinical applications/trials. However, one of the main impediments is the data management of small animal research studies. This was recognized by an ESTRO ACROP workgroup, which recently advised that advanced data management platforms are necessary for preclinical research. Currently these data management platforms are absent. Such a platform should be capable of: 1) handling large volumes of data from many different sources; 2) integrating with preclinical systems (e.g. treatment planning systems); 3) supporting plug-ins for outcome prediction models; 4) managing the workflow of animal experiments, 5) reporting of the study results 6) track the animals during preparation and the entire project. The work presented here describes the development of a data management platform for pre-clinical research. Material and Methods A platform is developed implementing an adapted DICOM RT 2 nd gen. course model, capable of storing both DICOM and non-DICOM data. Furthermore the DICOM suppl. 187 for storing small animal acquisition context is supported. Figure 1 shows a schematic overview of the architecture of the platform. The platform entails:1) a study workflow manager, researchers should be able to create a custom study time-line to plan and prepare their experiment; 2) a data manager keeping track of all the data produced throughout the study; 3) a storage manager, keeping track of the physical location of the data produced. For each study, a simple workflow consisting of the following steps: 1) CT image acquisition; 2) treatment planning; 3) treatment delivery was created. The imaging data and treatment delivery was executed on an image-guided precision irradiation platform (X-Rad 225Cx; PXi, CT, USA), while the treatments plans were produced by SmART-ATP (PXi & SmART Scientific Solutions, Maastricht, NL). For the storage of the study data the platform supports a cloud based solution.

SmART-ATP to automatically calculate a delivered dose after CBCT acquisition. Conclusion The developed preclinical data management platform supplies an infrastructure for preclinical research enabling data warehouse functionality capable of storing data from various sources. Furthermore, the architecture will support the analysis of large data-sets stored in the platform using image processing plug-ins of custom models with the goal to create a foundation to translate preclinical results into clinical trials and make them available globally. EP-2162 FiF Technique with Intrafractionally Modulated Junction shifts for CSI Planning with 3D- CRT. S.H. A. Ali 1 , H. Nazim 1 , R. Gohar 2 , J. Mallick 1 1 Ziauddin University Hospital, Radiation Oncology, Karachi, Pakistan 2 Aga Khan University Hospital, Radiation Oncology, Nairobi, Kenya Purpose or Objective To plan craniospinal irradiation with ‘‘field-in-field’’ (FIF) homogenization technique in combination with daily, intra-fractional modulation of the field junctions, to minimize the possibility of spinal cord overdose. Photon- based techniques for craniospinal irradiation (CSI) may result in dose inhomogeneity within the treatment volume and usually require a weekly manual shift of the field junctions to minimize the possibility of spinal cord overdose. Nowadays field-in-field technique is used to feather out the dose inhomogeneity caused by multiple fields. We have started using this technique after acquiring advanced technology machines in recent years. Material and Methods 16 patients (2 adults, 14 children) treated with 3D-CRT for craniospinal irradiation were retrospectively chosen for this analysis. These patients were planned and treated during 2016-2017. Contouring of Brain and Spine Cord and organ at risk were already done and planning done on Eclipse TM Treatment Planning System (Varian). All of these patients were planned Lateral cranio-cervical fields and posterior spinal fields were planned using a forward-planned, FIF technique. Field junctions were automatically modulated and custom-weighted for maximal homogeneity within each treatment fraction. Dose volume histogram (DVH) was used for analysis of results. A corresponding plan without FIF technique was planned and maximum dose at the junction was noted for each patient with both plans and the readings were evaluated. Results Plan inhomogeneity improved with FIF technique. Planning with daily modulated junction shifts provided consistent dose delivery during each fraction of treatment across the junctions. The maximum doses calculated at the junction were higher in the CSI plans without FIF compared to those with FIF technique. Conclusion This paper hence proves that FIF technique is better in planning craniospinal irradiation. EP-2163 Deep Neural Networks vs Medical Physicists: An IMRT QA case study. Y. Interian 1 , G. Valdes 2 , R. Vincent 1 , C. Joey 2 , K. Vasant 2 , M. Olivier 2 , E. Gennatas 2 , T. Solberg 2 1 University of San Francisco, MS in Analytics, San Francisco, USA 2 University of California UCSF, Radiation Oncology, San Francisco CA, USA

Results For a sample workflow, the planning CT acquired was stored together with the DICOM small animal acquisition context. The entire pre-treatment data and delivery data were stored in the system, while the platform utilized