Radiomics: the bridge between medical imaging and personalized medicine

Philippe Lambin*, Ralph T. H. Leijenaar, Timo M. Deist, Jurgen Peerlings, Evelyn E. C. de Jong, Janita van Timmeren, Sebastian Sanduleanu, Ruben T. H. M. Larue, Aniek J. G. Even, Arthur Jochems, Yvonka van Wijk, Henry Woodruff, Johan van Soest, Tim Lustberg, Erik Roelofs, Wouter van Elmpt, Andre Dekker, Felix M. Mottaghy, Joachim E. Wildberger, Sean Walsh

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

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Abstract

Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied within clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy, is gaining importance in cancer research. Radiomic analysis exploits sophisticated image analysis tools and the rapid development and validation of medical imaging data that uses image-based signatures for precision diagnosis and treatment, providing a powerful tool in modern medicine. Herein, we describe the process of radiomics, its pitfalls, challenges, opportunities, and its capacity to improve clinical decision making, emphasizing the utility for patients with cancer. Currently, the field of radiomics lacks standardized evaluation of both the scientific integrity and the clinical relevance of the numerous published radiomics investigations resulting from the rapid growth of this area. Rigorous evaluation criteria and reporting guidelines need to be established in order for radiomics to mature as a discipline. Herein, we provide guidance for investigations to meet this urgent need in the field of radiomics.

Original languageEnglish
Pages (from-to)749-762
Number of pages14
JournalNature Reviews Clinical Oncology
Volume14
Issue number12
DOIs
Publication statusPublished - Dec 2017

Keywords

  • CELL LUNG-CANCER
  • LEARNING HEALTH-CARE
  • DECISION-SUPPORT-SYSTEMS
  • BODY RADIATION-THERAPY
  • GENE-EXPRESSION
  • BREAST-CANCER
  • INTRINSIC RADIOSENSITIVITY
  • F-18-FDG PET
  • RADIOTHERAPY RESEARCH
  • PROGNOSTIC-FACTOR

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