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    Radiogenomics and radiotherapy response modeling.

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    Authors
    El Naqa, I
    Kerns, S
    Coates, J
    Luo, Y
    Speers, C
    West, Catharine M L
    Rosenstein, B
    Ten Haken, R
    Affiliation
    Department of Radiation Oncology, University of Michigan, Michigan, Michigan, United States
    Issue Date
    2017-08-01
    
    Metadata
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    Abstract
    Advances in patient-specific information and biotechnology have contributed to a new era of computational medicine. Radiogenomics has emerged as a new field that investigates the role of genetics in treatment response to radiation therapy. Radiation oncology is currently attempting to embrace these recent advances and add to its rich history by maintaining its prominent role as a quantitative leader in oncologic response modeling. Here, we provide an overview of radiogenomics starting with genotyping, data aggregation, and application of different modeling approaches based on modifying traditional radiobiological methods or application of advanced machine learning techniques. We highlight the current status and potential for this new field to reshape the landscape of outcome modeling in radiotherapy and drive future advances in computational oncology.
    Citation
    Radiogenomics and radiotherapy response modeling. 2017, 62 (16):R179-R206 Phys Med Biol
    Journal
    Physics in Medicine and Biology
    URI
    http://hdl.handle.net/10541/620498
    DOI
    10.1088/1361-6560/aa7c55
    PubMed ID
    28657906
    Type
    Article
    Language
    en
    ISSN
    1361-6560
    ae974a485f413a2113503eed53cd6c53
    10.1088/1361-6560/aa7c55
    Scopus Count
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