Perspectives in Radiomics for Personalized Medicine and Theranostics

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations

    Abstract

    Radiomics handles imaging biomarker from high-throughput feature extraction through complex pattern recognition that is difficult for human to process. Recent medical paradigms are rapidly changing to personalized medicine, including molecular targeted therapy, immunotherapy, and theranostics, and the importance of biomarkers for these is growing day by day. Even though biopsy continues to gold standard for tumor assessment in personalized medicine, imaging is expected to complement biopsy because it allows whole tumor evaluation, whole body evaluation, and non-invasive and repetitive evaluation. Radiomics is known as a useful method to get imaging biomarkers related to intratumor heterogeneity in molecular targeted therapy as well as one-size-fits-all therapy. It is also expected to be useful in new paradigms such as immunotherapy and somatostatin receptor (SSTR) or prostate-specific membrane antigen (PSMA)-targeted theranostics. Radiomics research should move to multimodality (CT, MR, PET, etc.), multicenter, and prospective studies from current single modality, single institution, and retrospective studies. Image-quality harmonization, intertumor heterogeneity, and integrative analysis of information from different scales are thought to be important keywords in future radiomics research. It is clear that radiomics will play an important role in personalized medicine.

    Original languageEnglish
    Pages (from-to)164-166
    Number of pages3
    JournalNuclear Medicine and Molecular Imaging
    Volume53
    Issue number3
    DOIs
    StatePublished - 1 Jun 2019

    Bibliographical note

    Publisher Copyright:
    © 2019, Korean Society of Nuclear Medicine.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Oncology
    • PET
    • Personalized medicine
    • Radiomics
    • Theranostics

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