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EP-1416: A new model of care to improve clinical trial participation in radiation oncology
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circumstances. Psychosocial counselling however had the largest evidentiary base for most of the outcomes. Conclusion Conclusion: To our knowledge this is the first evidence based guideline to comprehensively evaluate interventions to improve sexual problems in people with cancer. The guideline will be a valuable resource to support practitioners and clinics in addressing this important aspect of being human.
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. Figure 1: Percentage of patients on clinical trials
EP-1416 A new model of care to improve clinical trial participation in radiation oncology M. Grand1,2,3, M. Berry1,3,4, D. Forstner1,3,4, S. Gillman1,3, P. Phan1,3, K. Wong1,4,5, S. Vinod1,4,6 1 Liverpool Hospital, Cancer Therapy Centre, Liverpool, Australia 2 Ingham Institute for Applied Medical Research, Clinical Trials, Liverpool- NSW, Australia 3 Campbelltown Hospital, Cancer Therapy Centre, Campbelltown- NSW, Australia 4 University of NSW, South Western Sydney Clinical School, NSW, Australia 5 Ingham Institute for Applied Medical Research, CCORE, Liverpool- NSW, Australia 6 Western Sydney University, Clinical School, NSW, Australia Purpose or Objective Clinical trial participation is becoming increasingly recognised as an indicator of quality of care in oncology. Previously, Radiation Oncology (RO) clinical trials at Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia were managed by a general oncology clinical trials unit. The focus was largely on pharmaceutical and large collaborative group trials, and less on investigator initiated studies. This model was heavily reliant on individual clinicians remembering to screen and recruit patients. Recognising our low rates of participation in clinical trials, we decided to develop and implement a new model of care to support clinical trials in RO. Material and Methods A new team dedicated to RO clinical trials with specific skill sets in nursing, radiation therapy and clinical research, was formed in December 2014. Strategies were devised to improve performance which included development of standard operating procedures, Good Clinical Practice (GCP) training, and active education and communication. Work processes were changed to be less reliant on clinicians, with more co-ordination by the RO clinical trials team. Active screening was conducted through attendance at multidisciplinary team meetings, screening clinic lists and development of a MOSAIQ screening tool for clinicians. The model involved regular auditing and feedback to clinicians to identify poor recruiters or poorly recruiting trials, and provide clinical trials support to improve this. Results Across both Liverpool and Macarthur Cancer Therapy Centres, screening activity increased from 51 patients screened in 2014, to 339 in 2015, and to 487 up to August 2016. Participation in clinical trials, as a percentage of new patients seen in RO clinics, increased from 2.6% in 2014, to 12.4% as of August 2016 (Fig 1). The number of 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
EP-1417 Clinical evaluation of a fully automatic body delineation algorithm for radiotherapy T. Fechter1,2, J. Dolz3, U. Nestle2,4, D. Baltas1,2 1 Medical Center - University of Freiburg, Medical Physics - Department of Radiation Oncology, Freiburg, Germany 2 German Cancer Consortium DKTK, Partner Site FreiburgGermany, 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 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
circumstances. Psychosocial counselling however had the largest evidentiary base for most of the outcomes. Conclusion Conclusion: To our knowledge this is the first evidence based guideline to comprehensively evaluate interventions to improve sexual problems in people with cancer. The guideline will be a valuable resource to support practitioners and clinics in addressing this important aspect of being human.
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. Figure 1: Percentage of patients on clinical trials
EP-1416 A new model of care to improve clinical trial participation in radiation oncology M. Grand1,2,3, M. Berry1,3,4, D. Forstner1,3,4, S. Gillman1,3, P. Phan1,3, K. Wong1,4,5, S. Vinod1,4,6 1 Liverpool Hospital, Cancer Therapy Centre, Liverpool, Australia 2 Ingham Institute for Applied Medical Research, Clinical Trials, Liverpool- NSW, Australia 3 Campbelltown Hospital, Cancer Therapy Centre, Campbelltown- NSW, Australia 4 University of NSW, South Western Sydney Clinical School, NSW, Australia 5 Ingham Institute for Applied Medical Research, CCORE, Liverpool- NSW, Australia 6 Western Sydney University, Clinical School, NSW, Australia Purpose or Objective Clinical trial participation is becoming increasingly recognised as an indicator of quality of care in oncology. Previously, Radiation Oncology (RO) clinical trials at Liverpool and Macarthur Cancer Therapy Centres, Sydney, Australia were managed by a general oncology clinical trials unit. The focus was largely on pharmaceutical and large collaborative group trials, and less on investigator initiated studies. This model was heavily reliant on individual clinicians remembering to screen and recruit patients. Recognising our low rates of participation in clinical trials, we decided to develop and implement a new model of care to support clinical trials in RO. Material and Methods A new team dedicated to RO clinical trials with specific skill sets in nursing, radiation therapy and clinical research, was formed in December 2014. Strategies were devised to improve performance which included development of standard operating procedures, Good Clinical Practice (GCP) training, and active education and communication. Work processes were changed to be less reliant on clinicians, with more co-ordination by the RO clinical trials team. Active screening was conducted through attendance at multidisciplinary team meetings, screening clinic lists and development of a MOSAIQ screening tool for clinicians. The model involved regular auditing and feedback to clinicians to identify poor recruiters or poorly recruiting trials, and provide clinical trials support to improve this. Results Across both Liverpool and Macarthur Cancer Therapy Centres, screening activity increased from 51 patients screened in 2014, to 339 in 2015, and to 487 up to August 2016. Participation in clinical trials, as a percentage of new patients seen in RO clinics, increased from 2.6% in 2014, to 12.4% as of August 2016 (Fig 1). The number of 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
EP-1417 Clinical evaluation of a fully automatic body delineation algorithm for radiotherapy T. Fechter1,2, J. Dolz3, U. Nestle2,4, D. Baltas1,2 1 Medical Center - University of Freiburg, Medical Physics - Department of Radiation Oncology, Freiburg, Germany 2 German Cancer Consortium DKTK, Partner Site FreiburgGermany, 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 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