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    Radiomics as a personalized medicine tool in lung cancer: Separating the hope from the hype

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    Authors
    Fornacon-Wood, Isabella
    Faivre-Finn, Corinne
    O'Connor, James P B
    Price, Gareth J
    Affiliation
    Division of Cancer Sciences, University of Manchester, Manchester, UK. Electronic address:
    Issue Date
    2020
    
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    Abstract
    Radiomics has become a popular image analysis method in the last few years. Its key hypothesis is that medical images harbor biological, prognostic and predictive information that is not revealed upon visual inspection. In contrast to previous work with a priori defined imaging biomarkers, radiomics instead calculates image features at scale and uses statistical methods to identify those most strongly associated to outcome. This builds on years of research into computer aided diagnosis and pattern recognition. While the potential of radiomics to aid personalized medicine is widely recognized, several technical limitations exist which hinder biomarker translation. Aspects of the radiomic workflow lack repeatability or reproducibility under particular circumstances, which is a key requirement for the translation of imaging biomarkers into clinical practice. One of the most commonly studied uses of radiomics is for personalized medicine applications in Non-Small Cell Lung Cancer (NSCLC). In this review, we summarize reported methodological limitations in CT based radiomic analyses together with suggested solutions. We then evaluate the current NSCLC radiomics literature to assess the risk associated with accepting the published conclusions with respect to these limitations. We review different complementary scoring systems and initiatives that can be used to critically appraise data from radiomics studies. Wider awareness should improve the quality of ongoing and future radiomics studies and advance their potential as clinically relevant biomarkers for personalized medicine in patients with NSCLC. Keywords: Imaging biomarkers; Lung cancer; Personalized medicine; Radiomics.
    Citation
    Fornacon-Wood I, Faivre-Finn C, O'Connor JPB, Price GJ. Radiomics as a personalized medicine tool in lung cancer: Separating the hope from the hype. Lung Cancer. 2020;146:197-208.
    Journal
    Lung Cancer
    URI
    http://hdl.handle.net/10541/623066
    DOI
    10.1016/j.lungcan.2020.05.028
    PubMed ID
    32563015
    Additional Links
    https://dx.doi.org/10.1016/j.lungcan.2020.05.028
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.lungcan.2020.05.028
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