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Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)
Cancer Res UK Imaging Ctr, England; Royal Marsden Hosp, England.
Ghent Univ Hosp, Belgium.
QUIBIM SL Fe Hlth Res Inst, Spain.
Univ Freiburg, Germany.
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2019 (English)In: Insight into Imaging, ISSN 1869-4101, E-ISSN 1869-4101, Vol. 10, no 1, article id UNSP 87Article in journal (Refereed) Published
Abstract [en]

Observer-driven pattern recognition is the standard for interpretation of medical images. To achieve global parity in interpretation, semi-quantitative scoring systems have been developed based on observer assessments; these are widely used in scoring coronary artery disease, the arthritides and neurological conditions and for indicating the likelihood of malignancy. However, in an era of machine learning and artificial intelligence, it is increasingly desirable that we extract quantitative biomarkers from medical images that inform on disease detection, characterisation, monitoring and assessment of response to treatment. Quantitation has the potential to provide objective decision-support tools in the management pathway of patients. Despite this, the quantitative potential of imaging remains under-exploited because of variability of the measurement, lack of harmonised systems for data acquisition and analysis, and crucially, a paucity of evidence on how such quantitation potentially affects clinical decision-making and patient outcome. This article reviews the current evidence for the use of semi-quantitative and quantitative biomarkers in clinical settings at various stages of the disease pathway including diagnosis, staging and prognosis, as well as predicting and detecting treatment response. It critically appraises current practice and sets out recommendations for using imaging objectively to drive patient management decisions.

Place, publisher, year, edition, pages
SPRINGEROPEN , 2019. Vol. 10, no 1, article id UNSP 87
Keywords [en]
Imaging biomarkers; Clinical decision making; Quantitation; Standardisation
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-160416DOI: 10.1186/s13244-019-0764-0ISI: 000483541100001PubMedID: 31468205OAI: oai:DiVA.org:liu-160416DiVA, id: diva2:1353535
Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-11-28

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Division of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Radiology in LinköpingCenter for Medical Image Science and Visualization (CMIV)
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