Citations 2
Treatment data and technical process challenges for practical big data efforts in radiation oncology
Mayo, C., Phillips, Mark H., McNutt, TR, Palta, Jatinder , Dekker, André , Miller, Robert C. , Xiao, Ying , Moran, Jean M. , Matuszak, M.M. , Ayan, AS, Prisciandaro, Joann I. , Thor, Maria, Dixit, Niharika , Killoran, Joseph H., Kaleba, Erin O., Kantor, Michael , Kapoor, Rishabh , Kessler, ML, Lawrence, Theodore S. , Mayo, Charles S. , Lawrence, Theodore S , Gabriel, Peter , Popple, Richard A. , Ruan, Dan
Medical Physics | September 18, 2018 | Volume: 45 | Issue: 10 | Pages: No page available
The term Big Data has come to encompass a number of concepts and uses within medicine. This paper lays out the relevance and application of large collections of data in the radiation oncology community. We describe the potential importance and uses in clinical practice. The important concepts are then described and how they have been or could be implemented are discussed. Impediments to progress in the collection and use of sufficient quantities of data are also described. Finally, recommendations for how the community can move forward to achieve the potential of big data in radiation oncology are provided.
Executive summary of AAPM Report Task Group 113: Guidance for the physics aspects of clinical trials
Moran, Jean M. , Molineu, A, Kruse, Jon J. , Jeraj, Robert , Galvin, James M., Palta, Jatinder , Olch, Arthur J. , Oldham, Mark
Journal of Applied Clinical Medical Physics | June 30, 2018 | Volume: 19 | Issue: 5 | Pages: 335-346
AbstractThe charge of AAPM Task Group 113 is to provide guidance for the physics aspects of clinical trials to minimize variability in planning and dose delivery for external beam trials involving photons and electrons. Several studies have demonstrated the importance of protocol compliance on patient outcome. Minimizing variability for treatments at different centers improves the quality and efficiency of clinical trials. Attention is focused on areas where variability can be minimized through standardization of protocols and processes through all aspects of clinical trials. Recommendations are presented for clinical trial designers, physicists supporting clinical trials at their individual clinics, quality assurance centers, and manufacturers.