Abstract
Medical imaging has a key role in improving diagnosis and treatment of different diseases and has been used as a cost-effective solution to reduce costs in clinical trials [1]. Medical imaging overcomes the three main difficulties that traditional clinical endpoints have, such as (1) their difficulty to be standardized or quantified, (2) the long time required to be manifested, and (3) their high costs, particularly when long-term endpoints, such as mortality, are used. All these difficulties can be overcome by the so-called surrogate endpoints that are intended to substitute clinical endpoints and are expected to predict clinical benefits based on epidemiologic, therapeutic, pathophysiologic, or other scientific evidences. The utility of surrogate endpoints is defined based on their ability to be measured earlier and more frequently than traditional clinical endpoints, facilitating the access to the final results.
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Sánchez-González, J., Montesinos, P. (2017). Image Acquisition: Modality and Protocol Definition. In: Martí-Bonmatí, L., Alberich-Bayarri, A. (eds) Imaging Biomarkers. Springer, Cham. https://doi.org/10.1007/978-3-319-43504-6_4
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DOI: https://doi.org/10.1007/978-3-319-43504-6_4
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