RE: The Rise of Radiomics and Implications for Oncologic Management

Radiomics is the high-throughput extraction of large amounts of image features from radiographic images, as previously defined in 2012 by Lambin and colleagues in the first publication in the field (1). In the July 2017 issue of Journal (2), Verma and colleagues highlighted the rise of radiomics, which may provide new insights into precision medicine in the next decades. Although the general process of radiomics has been well described (3), a major pitfall should be addressed before these methods can be used to personalize treatments: the lack of standardized procedures for radiomics features extraction (2,3). Lambin et al. recently proposed the radiomics quality score (RQS), assessing the quality of radiomics studies (4), to better address this issue of standardization between institutions (2), but the actual extraction methodologies currently available are clearly inconsistent (5).

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