Treatment data and technical process challenges for practical big data efforts in radiation oncology.

Autor: Mayo CS; University of Michigan, Ann Arbor, MI, USA., Phillips M; University of Washington, Seattle, WA, USA., McNutt TR; Johns Hopkins University, Baltimore, MD, USA., Palta J; Virginia Commonwealth University, Richmond, VA, USA., Dekker A; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands., Miller RC; Mayo Clinic, Jacksonville, FL, USA., Xiao Y; University of Pennsylvania, Philadelphia, PA, USA., Moran JM; University of Michigan, Ann Arbor, MI, USA., Matuszak MM; University of Michigan, Ann Arbor, MI, USA., Gabriel P; University of Pennsylvania, Philadelphia, PA, USA., Ayan AS; Ohio State University, Columbus, OH, USA., Prisciandaro J; University of Michigan, Ann Arbor, MI, USA., Thor M; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Dixit N; University of California at San Francisco, San Francisco, CA, USA., Popple R; University of Alabama at Birmingham, Birmingham, AL, USA., Killoran J; Harvard Medical School, Boston, MA, USA., Kaleba E; University of Michigan, Ann Arbor, MI, USA., Kantor M; MD Anderson Cancer Center, Houston, TX, USA., Ruan D; University of California at Los Angeles, Los Angeles, CA, USA., Kapoor R; Johns Hopkins University, Baltimore, MD, USA., Kessler ML; University of Michigan, Ann Arbor, MI, USA., Lawrence TS; University of Michigan, Ann Arbor, MI, USA.
Jazyk: angličtina
Zdroj: Medical physics [Med Phys] 2018 Oct; Vol. 45 (10), pp. e793-e810. Date of Electronic Publication: 2018 Sep 18.
DOI: 10.1002/mp.13114
Abstrakt: 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.
(© 2018 American Association of Physicists in Medicine.)
Databáze: MEDLINE
Externí odkaz: