Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology.
Medical image processing and analysis (also known as Radiomics) is a rapidly growing discipline that maps digital medical images into quantitative data, with the end goal of generating imaging biomarkers as decision support tools for clinical practice. The use of imaging data from routine clinical work-up has tremendous potential in improving cancer care by heightening understanding of tumor biology and aiding in the implementation of precision medicine. As a noninvasive method of assessing the tumor and its microenvironment in their entirety, radiomics allows the evaluation and monitoring of tumor characteristics such as temporal and spatial heterogeneity. One can observe a rapid increase in the number of computational medical imaging publications-milestones that have highlighted the utility of imaging biomarkers in oncology. Nevertheless, the use of radiomics as clinical biomarkers still necessitates amelioration and standardization in order to achieve routine clinical adoption. This Review addresses the critical issues to ensure the proper development of radiomics as a biomarker and facilitate its implementation in clinical practice.
Radiomics team, INSERM U1030, Gustave Roussy.|Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.
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Limkin
Radiomics team, INSERM U1030, Gustave Roussy.|Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.|Faculty of Medicine, Paris Sud University, Kremlin-Bicetre.
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Sun
Department of Nuclear Medicine and Endocrine Oncology, Gustave Roussy, Paris-Saclay University, Villejuif.
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Dercle
Center for Visual Computing, CentraleSupelec/Paris-Saclay University/Inria, Châtenay-Malabry.
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Zacharaki
Radiomics team, INSERM U1030, Gustave Roussy.|Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.|Faculty of Medicine, Paris Sud University, Kremlin-Bicetre.
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Robert
Radiomics team, INSERM U1030, Gustave Roussy.|Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.|Faculty of Medicine, Paris Sud University, Kremlin-Bicetre.
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Reuzé
Radiomics team, INSERM U1030, Gustave Roussy.|Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.|Faculty of Medicine, Paris Sud University, Kremlin-Bicetre.
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Schernberg
Center for Visual Computing, CentraleSupelec/Paris-Saclay University/Inria, Châtenay-Malabry.|TheraPanacea, Paris.
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Paragios
Radiomics team, INSERM U1030, Gustave Roussy.|Department of Radiotherapy, Gustave Roussy, Paris-Saclay University, Villejuif.
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Deutsch
Radiomics team, INSERM U1030, Gustave Roussy.|Department of Head and Neck Oncology, Gustave Roussy, Paris-Saclay University, Villejuif, France.
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Ferté
D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008495:Medical Oncology; D009369:Neoplasms / Q000000981:diagnostic imaging*; D057285:Precision Medicine
computational medical imaging; precision medicine; quantitative imaging; radiomics; tumor biology