Margin-growing algorithms are commonly used tools that are available within virtual simulation and treatment planning software. We report on the accuracy of the margin-growing algorithms available in six commercially available radiotherapy software environments. A phantom containing two differently sized spheres and two rods (one level and one inclined) was constructed and scanned by CT with 1.25 mm, 2.5 mm, 3.75 mm and 5 mm slice thicknesses. The objects were outlined on a GE Advantage Simulator, and the outlined volumes recorded. Images and structures were transferred to MasterPlan, Xio, Pinnacle, Eclipse and Prosoma, where imported volumes were recorded. The contours on each system were grown isotropically by 10 mm, 20 mm and 30 mm, and volumes for each grown contour were recorded. Transfer of structure sets created in GE Advantage Simulator to the other software environments showed that the reported volumes of the four structures differ on each system. Results showed no correlation between volume accuracy and slice thickness. In general, margin growth of up to 30 mm for the rods and spheres is shown to be consistent between systems to within 1.33 mm for all slice thicknesses. Slice thickness did not appear to influence the accuracy of margin growth. Although this work highlights apparent differences in the reported volumes grown from the same original structure sets, the significance of this aspect of the planning process needs to weighed against reported intra- and inter-clinician variability in contour definition. It is not unreasonable, however, to expect that software packages should at least be consistent in volume information provided to the user.
Introduction: The NSW Urology Oncology Program is an initiative of the Cancer Institute NSW bringing together individuals and organisations with an interest in Urological Oncology. The multidisciplinary collaboration will implement the NSW Cancer Plan as it pertains to Urological Oncology. The aim is to utilise the members expertise to determine ‘good practice’ in Urological Oncology and develop practical guidelines and protocols to support service providers. In addition the program will pursue a planned approach to research, education and training.
Method: Expressions of Interest were sought from clinicians, industry representatives, consumers and researchers with an interest in Urological Oncology. Through a series of working parties the members will address the priority issues arising from ‘Patterns of Care’ studies particularly the NSW Cancer Council study for Prostate Cancer. Specific projects are:
• Tumour site specific Minimum Data Set
• Guidelines and protocol development
• Clinical Trials
• Research
• Education (multidisciplinary education)
Outcomes: A planned and coordinated program underpinned by research, education and training, will progressively reduce mortality from Urological cancer and improve the quality of patient care.
Conclusion: The NSW Urology Oncology Program will provide leadership to deliver a State‐wide planned approach to Urological Oncology in accord with ‘good practice’.
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