Citations 2
Practice patterns and recommendations for pediatric image‐guided radiotherapy: A Children's Oncology Group report
Hua, Chia‐Ho , Vern-Gross, T.Z., Olch, Arthur J. , Alaei, Parham , Sathiaseelan, Vythialingam, Ulin, Kenneth, Laurie, Fran, Gopalakrishnan, Mahesh , Krasin, Matthew J. , Merchant, Thomas E. , Donaldson, Sarah S. , FitzGerald, Thomas J. , Haas‐Kogan, Daphne A. , Mahajan, Anita , Marcus, Karen J. , Taylor, Paige A. , Ahern, Verity , Followill, D , Breneman, John C. , Kalapurakal, John A. , Hodgson, David , Vern-Gross, Tamara Z, Wolden, Suzanne , Merchant, Thomas E , Donaldson, Sarah S , FitzGerald, Thomas J , Hodgson, David C , Laack, Nadia N Issa , Krasin, Matthew J , Taylor, Paige , Hodgson, David , Hess, Clayton Burnett , Deng, Jun , Gopalakrishnan, Mahesh, Esiashvili, Natia , Wolden, Suzanne L. , Constine, Louis S , Laack, Nadia N. , Buchsbaum, Jeffrey Craig
Pediatric Blood & Cancer | August 10, 2020 | Volume: 67 | Issue: 10 | Pages: No page available
AbstractThis report by the Radiation Oncology Discipline of Children's Oncology Group (COG) describes the practice patterns of pediatric image‐guided radiotherapy (IGRT) based on a member survey and provides practice recommendations accordingly. The survey comprised of 11 vignettes asking clinicians about their recommended treatment modalities, IGRT preferences, and frequency of in‐room verification. Technical questions asked physicists about imaging protocols, dose reduction, setup correction, and adaptive therapy. In this report, the COG Radiation Oncology Discipline provides an IGRT modality/frequency decision tree and the expert guidelines for the practice of ionizing image guidance in pediatric radiotherapy patients.
Performance/outcomes data and physician process challenges for practical big data efforts in radiation oncology
Matuszak, M.M. , Fuller, Clifton D. , Yock, Torunn I. , McNutt, Todd , Jolly, Shruti , Mayo, Charles S. , Thor, Maria, Caissie, Amanda, Rao, Arvind , Owen, Dawn , Smith, W. P., Palta, Jatinder , Kapoor, Rishabh , Hayman, James A. , Waddle, Mark R. , Rosenstein, Barry S. , Miller, Robert C. , Moreno, Amy C. , Herman, Joseph M. , Feng, Mary, Waddle, Mark, Hess, Clayton Burnett , Gabriel, Peter , Choi, Seungtaek L. , Fuller, Clifton David
Medical Physics | September 19, 2018 | Volume: 45 | Issue: 10 | Pages: No page available
It is an exciting time for big data efforts in radiation oncology. The use of big data to help aid both outcomes and decision‐making research is becoming a reality. However, there are true challenges that exist in the space of gathering and utilizing performance and outcomes data. Here, we summarize the current state of big data in radiation oncology with respect to outcomes and discuss some of the efforts and challenges in radiation oncology big data.