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

C. S. Mayo; M. Phillips; T. R. McNutt; J. Palta; A. Dekker; R. C. Miller; Y. Xiao; J. M. Moran; M. M. Matuszak; P. Gabriel; A. S. Ayan; J. Prisciandaro; M. Thor; N. Dixit; R. Popple; J. Killoran; E. Kaleba; M. Kantor; D. Ruan; R. Kapoor; M. L. Kessler; T. S. Lawrence

doi:10.1002/mp.13114

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

C. S. Mayo^*, M. Phillips, T. R. McNutt, J. Palta, A. Dekker, R. C. Miller, Y. Xiao, J. M. Moran, M. M. Matuszak, P. Gabriel, A. S. Ayan, J. Prisciandaro, M. Thor, N. Dixit, R. Popple, J. Killoran, E. Kaleba, M. Kantor, D. Ruan, R. KapoorM. L. Kessler, T. S. Lawrence

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

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.

Original language	English
Pages (from-to)	E793-E810
Number of pages	18
Journal	Medical Physics
Volume	45
Issue number	10
DOIs	https://doi.org/10.1002/mp.13114
Publication status	Published - Oct 2018

Keywords

big data
ontology
standardization
informatics
machine learning
RADIOTHERAPY RESEARCH
CANCER-PATIENTS
THERAPY
INFORMATION
POPULATION
DATABASES
MEDICINE

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10.1002/mp.13114

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Cite this

Mayo, C. S., Phillips, M., McNutt, T. R., Palta, J., Dekker, A., Miller, R. C., Xiao, Y., Moran, J. M., Matuszak, M. M., Gabriel, P., Ayan, A. S., Prisciandaro, J., Thor, M., Dixit, N., Popple, R., Killoran, J., Kaleba, E., Kantor, M., Ruan, D., ... Lawrence, T. S. (2018). Treatment data and technical process challenges for practical big data efforts in radiation oncology. Medical Physics, 45(10), E793-E810. https://doi.org/10.1002/mp.13114

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title = "Treatment data and technical process challenges for practical big data efforts in radiation oncology",

abstract = "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.",

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year = "2018",

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Mayo, CS, Phillips, M, McNutt, TR, Palta, J, Dekker, A, Miller, RC, Xiao, Y, Moran, JM, Matuszak, MM, Gabriel, P, Ayan, AS, Prisciandaro, J, Thor, M, Dixit, N, Popple, R, Killoran, J, Kaleba, E, Kantor, M, Ruan, D, Kapoor, R, Kessler, ML & Lawrence, TS 2018, 'Treatment data and technical process challenges for practical big data efforts in radiation oncology', Medical Physics, vol. 45, no. 10, pp. E793-E810. https://doi.org/10.1002/mp.13114

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AU - Miller, R. C.

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AU - Matuszak, M. M.

AU - Gabriel, P.

AU - Ayan, A. S.

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