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  3. 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).

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).

Fecha de publicación:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • deSouza NM
  • Achten E
  • Bamberg F
  • Boellaard R
  • Clément O
  • Fournier L
  • Gallagher F
  • Golay X
  • Heussel CP
  • Jackson EF
  • Manniesing R
  • Mayerhofer ME
  • Neri E
  • O'Connor J
  • Oguz KK
  • Persson A
  • Smits M
  • van Beek EJR
  • Zech CJ
  • European Society of Radiology

Grupos

Abstract

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.

Datos de la publicación

ISSN/ISSNe:
1869-4101, 1869-4101

Insights Into Imaging  SPRINGEROPEN

Tipo:
Article
Páginas:
87-87
PubMed:
31468205
Factor de Impacto:
1,053 SCImago ℠
Cuartil:
Q1 SCImago ℠

Citas Recibidas en Web of Science: 46

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Keywords

  • Clinical decision making, Imaging biomarkers, Quantitation, Standardisation

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