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Showing 1–3 of 3 results
Advanced filters: Author: Wouter van Elmpt Clear advanced filters

  • The emergence of individualized medicine has spurred the need for the development of clinical decision-support systems (CDSSs) based on prediction models of treatment outcome. In radiation oncology, CDSSs combine clinical, imaging and molecular factors to achieve the highest accuracy to predict tumour response. Here, the authors provide an overview of these factors—including survival, recurrence patterns and toxicity—and discuss the methodology behind the multistage development of CDSSs.

    • Philippe Lambin
    • Ruud G. P. M. van Stiphout
    • Andre Dekker
    Reviews
    Nature Reviews Clinical Oncology
    Volume: 10, P: 27-40

  • Radiomics is the high-throughput mining of quantitative image features from standard-of-care medical imaging to enable data to be extracted and applied within clinical-decision support systems. The process of radiomics is described and its pitfalls, challenges, opportunities, and capacity to improve clinical decision making. The radiomics field requires standardized evaluation of scientific findings and their clinical relevance. This review provides guidance for investigations to meet this urgent need in the field of radiomics.

    • Philippe Lambin
    • Ralph T.H. Leijenaar
    • Sean Walsh
    Reviews
    Nature Reviews Clinical Oncology
    Volume: 14, P: 749-762