Inclusion of dosimetric data as covariates in toxicity-related radiogenomic studies
Author:
Funder
Universiti Kebangsaan Malaysia
Publisher
Springer Science and Business Media LLC
Subject
Oncology,Radiology Nuclear Medicine and imaging
Link
http://link.springer.com/article/10.1007/s00066-018-1303-5/fulltext.html
Reference27 articles.
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2. Rosenstein BS (2017) Radiogenomics: identification of genomic predictors for radiation toxicity. Semin Radiat Oncol 27:300–309
3. Rosenstein BS, West CM, Bentzen SM et al (2014) Radiogenomics: radiobiology enters the era of big data and team science. Int J Radiat Oncol Biol Phys 89:709–713
4. Reuther S, Szymczak S, Raabe A et al (2014) Association between SNPs in defined functional pathways and risk of early or late toxicity as well as individual radiosensitivity. Strahlenther Onkol 191:59–66
5. Lambin P, van Stiphout RGPM, Starmans MHW et al (2012) Predicting outcomes in radiation oncology—multifactorial decision support systems. Nat Rev Clin Oncol 10:27–40
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