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Unraveling Biophysical Interactions of Radiation Pneumonitis in Non-Small-Cell Lung Cancer via Bayesian Network Analysis

BACKGROUND: In non-small-cell lung cancer radiotherapy, radiation pneumonitis ≥ grade 2 (RP2) depends on patients' dosimetric, clinical, biological and genomic characteristics. METHODS: We developed a Bayesian network (BN) approach to explore its potential for interpreting biophysical signaling...

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書誌詳細
出版年:Radiother Oncol
主要な著者: Luo, Yi, El Naqa, Issam, McShan, Daniel L., Ray, Dipankar, Lohse, Ines, Matuszak, Martha M., Owen, Dawn, Jolly, Shruti, Lawrence, Theodore S., Kong, Feng-Ming (Spring), Ten Haken, Randall K.
フォーマット: Artigo
言語:Inglês
出版事項: 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5386796/
https://ncbi.nlm.nih.gov/pubmed/28237401
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.radonc.2017.02.004
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