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Interpretation of radiomics features-A pictorial review

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2021.106609

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Artificial intelligence; Machine learning; Personalized medicine; Radiomics; Texture analysis

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Radiomics is a new field that extracts quantitative features from medical images to characterize tumors non-invasively. It can be linked to digital biopsy and helps physicians determine the correlation between radiomics features and lesions or diseases.
Radiomics is a newcomer field that has opened new windows for precision medicine. It is related to extraction of a large number of quantitative features from medical images, which may be difficult to detect visually. Underlying tumor biology can change physical properties of tissues, which affect pat-terns of image pixels and radiomics features. The main advantage of radiomics is that it can characterize the whole tumor non-invasively, even after a single sampling from an image. Therefore, it can be linked to a digital biopsy. Physicians need to know about radiomics features to determine how their values corre-late with the appearance of lesions and diseases. Indeed, physicians need practical references to conceive of basics and concepts of each radiomics feature without knowing their sophisticated mathematical for -mulas. In this review, commonly used radiomics features are illustrated with practical examples to help physicians in their routine diagnostic procedures. (c) 2021 Elsevier B.V. All rights reserved.

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