by on July 31, 2020. For personal use only. jnm.snmjournals.org Downloaded from ABSTRACT Radiomics is a rapidly evolving field of research concerned with the extraction and quantification of patterns -the so-called radiomic features -within medical images. Radiomic features capture tissue and lesion characteristics such as heterogeneity and shape, and may, alone or in combination with demographic, histological, genomic or proteomic data, be used for clinical problem-solving. The goal of this CE article is to provide an introduction to the field, covering the basic radiomics workflow:feature calculation and selection, dimensionality reduction, and data processing . Potential clinical applications in nuclear medicine that include PET radiomics-based prediction of treatment response and survival will be discussed. Current limitations of radiomics, such as sensitivity to acquisition parameter variations, and common pitfalls will also be covered.

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We thank the patients and their families for their trust in taking part in this study. The study was academically funded and supported by the Medical University Vienna, the General Hospital Vienna, and the Research Center for Molecular Medicine (CeMM) of the Austrian Academy of Sciences. We gratefully acknowledge funding from the Vienna Science and Technology Fund (LS16-034 to GSF and UJ), the Austrian Science Fund (F4704-B20 to PV, F4711-B20 to GSF, and P27132-B20 to PBS), and the European Molecular Biology Organization Long Term Fellowship (1543-2012 to GIV, 733-2016 to TP). BS acknowledges