| Literature DB >> 23776308 |
Daniel Pham1, Paul Roxby, Tomas Kron, Aldo Rolfo, Farshad Foroudi.
Abstract
Online adaptive radiotherapy for bladder cancer is a novel radiotherapy technique that was found feasible in a pilot study at a single academic institution. In September 2010 this technique was opened as a multicenter study through the Trans-Tasman Radiation Oncology Group (TROG 10.01 bladder online adaptive radiotherapy treatment). Twelve centers across Australia and New-Zealand registered interest into the trial. A multidisciplinary team of radiation oncologists, radiation therapists and medical physicists represented the trial credentialing and technical support team. To provide timely activation and proper implementation of the adaptive technique the following key areas were addressed at each site: Staff education/training; Practical image guided radiotherapy assessment; provision of help desk and feedback. The trial credentialing process involved face-to-face training and technical problem solving via full day site visits. A dedicated "help-desk" team was developed to provide support for the clinical trial. 26% of the workload occurred at the credentialing period while the remaining 74% came post-center activation. The workload was made up of the following key areas; protocol clarification (36%), technical problems (46%) while staff training was less than 10%. Clinical trial credentialing is important to minimizing trial deviations. It should not only focus on site activation quality assurance but also provide ongoing education and technical support.Entities:
Keywords: Adaptive radiotherapy; clinical trial; credentialing; image-guided radiotherapy
Year: 2013 PMID: 23776308 PMCID: PMC3683302 DOI: 10.4103/0971-6203.111308
Source DB: PubMed Journal: J Med Phys ISSN: 0971-6203
Figure 1Breakdown of areas of diffi culty that were handled by credentialing team during and after credentialing process. Total numbers of lodged queries were 116 over a 15-month period
Multi-vendor systems encountered during site visit with registration problems identifi ed and solutions recommended for participating centers. Software version: On Board Imager® v1.3–1.4 (varian medical systems, Palo Alto, USA); XVI v4.5 (Elekta, Stockholm, Sweden); Mosaiq v1.6–v2.0 (Elekta, Stockholm, Sweden); Aria 8.6–8.8 (Varian Medical Systems, Palo Alto, USA); Eclipse v8.6–8.9 (varian medical systems, Palo Alto, USA); Pinnacle 8.0 (Philips, Milpitas, USA)
Volume statistics for clinical target volume volume generation for conventional, small, medium and large adaptive plans. Data imported into Eclipse™ treatment planning system for further analysis. Despite the manual method used to create the clinical target volume medium, volume differences are similar to that used by boolean function to create small and large clinical target volumes
Small and large adaptive clinical target volume dimensions as contoured and created by the 12 centers. Largest variation seen in the superior inferior direction which will be due to contouring differences as well as differences in registration in the superior/inferior direction
Figure 2Survey responses from 8 of 12 centers