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

被引：12

作者：

Mayo, C. S. ^{[1
]}

Phillips, M. ^{[2
]}

McNutt, T. R. ^{[3
]}

Palta, J. ^{[4
]}

Dekker, A. ^{[5
]}

Miller, R. C. ^{[6
]}

Xiao, Y. ^{[7
]}

Moran, J. M. ^{[1
]}

Matuszak, M. M. ^{[1
]}

Gabriel, P. ^{[7
]}

Ayan, A. S. ^{[8
]}

Prisciandaro, J. ^{[1
]}

Thor, M. ^{[9
]}

Dixit, N. ^{[10
]}

Popple, R. ^{[11
]}

Killoran, J. ^{[12
]}

Kaleba, E. ^{[1
]}

Kantor, M. ^{[13
]}

Ruan, D. ^{[14
]}

Kapoor, R. ^{[3
]}

Kessler, M. L. ^{[1
]}

Lawrence, T. S. ^{[1
]}

机构：

[1] Univ Michigan, Ann Arbor, MI USA

[2] Univ Washington, Seattle, WA 98195 USA

[3] Johns Hopkins Univ, Baltimore, MD USA

[4] Virginia Commonwealth Univ, Richmond, VA USA

[5] Maastricht Univ, Med Ctr, GROW School for Oncol & Dev Biol, Dept Radiat Oncol MAASTRO, Maastricht, Netherlands

[6] Mayo Clin, Jacksonville, FL 32224 USA

[7] Univ Penn, Philadelphia, PA 19104 USA

[8] Ohio State Univ, Columbus, OH 43210 USA

[9] Mem Sloan Kettering Canc Ctr, 1275 York Ave, New York, NY 10021 USA

[10] Univ Calif San Francisco, San Francisco, CA 94143 USA

[11] Univ Alabama Birmingham, Birmingham, AL USA

[12] Harvard Med Sch, Boston, MA USA

[13] Univ Texas MD Anderson Canc Ctr, Houston, TX 77030 USA

[14] Univ Calif Los Angeles, Los Angeles, CA USA

来源：

MEDICAL PHYSICS | 2018年 / 45卷 / 10期

关键词：

big data; ontology; standardization; informatics; machine learning; RADIOTHERAPY RESEARCH; CANCER; THERAPY; INFORMATION; DATABASES; MEDICINE;

D O I：

10.1002/mp.13114

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页码：E793 / E810

页数：18

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