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Volumn 54, Issue 8, 2015, Pages 1230-1231

Motivation for the inclusion of genetic risk factors of radiosensitivity alongside dosimetric and clinical parameters in predicting normal tissue effects

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; BRAIN CANCER; BRAIN NECROSIS; CANCER RADIOTHERAPY; COST EFFECTIVENESS ANALYSIS; DATA MINING; DOSIMETRY; DRUG DOSE REDUCTION; GENETIC RISK; GENOTYPE; HEAD AND NECK CANCER; HEALTH CARE COST; HIGH RISK PATIENT; HIGH RISK POPULATION; HUMAN; LETTER; LOW RISK PATIENT; ORGANS AT RISK; OUTCOME ASSESSMENT; PRACTICE GUIDELINE; PRIORITY JOURNAL; PROTON THERAPY; RADIATION INDUCED TISSUE TOXICITY; RADIATION INJURY; RADIOLOGICAL PARAMETERS; RADIOSENSITIVITY; RISK ASSESSMENT; RISK FACTOR; THERAPY EFFECT; TISSUE INJURY; GENETICS; PROCEDURES; RADIATION TOLERANCE; RADIOMETRY;

EID: 84940540607     PISSN: 0284186X     EISSN: 1651226X     Source Type: Journal    
DOI: 10.3109/0284186X.2014.999163     Document Type: Letter
Times cited : (3)

References (8)
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    • Anderson, N.J.1    Wada, M.2    Schneider-Kolsky, M.3    Rolfo, M.4    Joon, D.L.5    Khoo, V.6
  • 3
    • 84893439855 scopus 로고    scopus 로고
    • Radiogenomics: Using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy
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    • Kerns, S.L.1    Ostrer, H.2    Rosenstein, B.S.3
  • 4
    • 76449086720 scopus 로고    scopus 로고
    • Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): An introduction to the scientific issues
    • Bentzen SM, Constine LS, Deasy JO, Eisbruch A, Jackson A, Marks LB, et al. Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): An introduction to the scientific issues. Int J Radiat Oncol Biol Phys 2010;76(3 Suppl):S3-9.
    • (2010) Int J Radiat Oncol Biol Phys , vol.76 , Issue.3 , pp. S3-9
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  • 7
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    • Incorporating single-nucleotide polymorphisms into the Lyman model to improve prediction of radiation pneumonitis
    • Tucker SL, Li M, Xu T, Gomez D, Yuan X, Yu J, et al. Incorporating single-nucleotide polymorphisms into the Lyman model to improve prediction of radiation pneumonitis. Int J Radiat Oncol Biol Phys 2013;85:251-7.
    • (2013) Int J Radiat Oncol Biol Phys , vol.85 , pp. 251-257
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.