ESTRO 36 Abstract Book

S749 ESTRO 36 2017 _______________________________________________________________________________________________

RO clinical trials that were open in 2014 was 20, and in 2016, it was 33. Among these studies, the number of investigator initiated studies that were open in 2014 was 8, compared to 15 in 2016. In 2016, the MOSAIQ screening assessment has been completed for 36.6% of new patients across both sites. Completion of GCP certification by all radiation oncology staff involved with clinical trials has reached 100%. The quality of data submission has improved through accurate collection of data at the required time points. Conclusion This new model of care, tailored to the specific needs of RO, has resulted in increased clinical trial screening and participation. The RO clinical trials department has become the chosen model of care across the local health district.

reference and generated contours was assessed by computing the volume ratio (VR), Dice's coefficient (DC) and Hausdorff distance (HD) to evaluate differences with respect to volume, overlap and shape, respectively. Results The mean VR obtained was 0.99 with a standard deviation (SD) of 0.006. The average amount of false ly classified pixels was around 0.3 %. Overlap analysis yielded a mean DC of 0.99 with SD 0.002 which translates in an excellent agreement. HD calculation resulted in a mean distance of 6.02 mm and a SD of 3.42 mm. For all cases the algorithm was able to successfully separate the body from adjacent parts like breathing belt, blankets, mattress etc. (see figure).

Figure 1: Percentage of patients on clinical trials

EP-1417 Clinical evaluation of a fully automatic body delineation algorithm for radiotherapy T. Fechter 1,2 , J. Dolz 3 , U. Nestle 2,4 , D. Baltas 1,2 1 Medical Center - University of Freiburg, Medical Physics - Department of Radiation Oncology, Freiburg, Germany 2 German Cancer Consortium DKTK, Partner Site Freiburg- Germany, Freiburg, Germany 3 École de technologie supérieure, Laboratory for Imagery- Vision and Artificial Intelligence, Montréal, Canada 4 Medical Center - University of Freiburg, Department of Radiation Oncology, Freiburg, Germany Purpose or Objective The aim of radiotherapy is to deliver the highest possible dose to the tumour and spare surrounding healthy tissue. For high efficacy an accurate delineation of the body outline on planning CT is crucial. On the one hand for dose calculation, on the other hand to reduce the delivered dose to the skin. However, depending on the tumour and treatment type, positioning markers, catheters, breathing belt, fixation mattress, table and/or blankets are directly adjacent to the patient’ skin. Algorithms currently employed in clinical settings cannot often distinguish those devices from the patient’s body. Consequently, these devices are included in the body segmentation which requires tedious manual corrections. In this work, a fully automatic algorithm for body delineation that can handle structures adjacent to the patient is clinically evaluated for various cancer cases. Material and Methods The presented approach is based on a series of threshold and morphology operations, and it was implement ed using MITK platform. For evaluation purposes , segm entation was performed on the planning CT of overall 30 patients: 10 lung cancer patients, 10 patients with a prostatic lesion and 10 rectum carcinoma patients. CT scans were acquired on different scanners and with different image resolutions. Body delineations used for real treatment planning served as reference contours. Similarity between

Conclusion We have presented a fully automatic algorithm for body delineation on CT that can handle structures adjacent to the patient. It has been evaluated in a clinical setting, showing an outstanding performance. Particularly, 30 clinical cases including several body locations were segmented. Evaluation demonstrated an excellent agreement with respect to reference contours. For segmentation no user interaction is required. Results suggest the suitability of the algorithm for clinical use with cases of the tested region between thorax and pelvis. Future work will explore the use of the algorithm for other body regions. EP-1418 RandOmized Study Exploring the combination of radioTherapy with Two types of Acupuncture treatment R. Asadpour 1 , K. Kessel 1,2 , D. Habermehl 1 , T. Bruckner 3 , S. Sertel 4 , S. Combs 1,2 1 Technical Universy Munich TUM, Department of Radiation Oncology, München, Germany 2 Institute of Innovative Radiotherapy iRT, Department of Radiation Sciences DRS, Neuherberg, Germany 3 Institute of Medical Biometry and Informatics IMBI, Department of Medical Biometry, Heidelberg, Germany 4 Bâtiment hospitalier, Department of ORL and Cervical Surgery, Lausanne, Switzerland Purpose or Objective Acupuncture is known to reduce various clinical signs and symptoms. Often patients treated with radiation therapy (RT) suffer from side effects such as fatigue, nausea/vomiting or reduction of quality of life (QoL). Few randomized data are available to define the role of acupuncture in the context of radiation oncology as a