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What do biomarkers add: Mapping quantitative imaging biomarkers research.

Enrique Meseguer1, David Barberá-Tomás1, Carlos Benito-Amat1

  • 1INGENIO (CSIC-UPV), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.

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Summary

The integration of biomarkers into quantitative imaging (QI) has spurred rapid growth in medical imaging research. This evolution is driven by efforts to translate quantitative imaging biomarkers (QIB) into clinical practice.

Keywords:
BibliometricsCo-authorship networksEmerging research fieldsQuantitative imagingQuantitative imaging biomarkersRadiology

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Area of Science:

  • Biomedical Imaging
  • Medical Informatics
  • Bibliometrics

Background:

  • Quantitative imaging (QI) research has evolved significantly over decades.
  • The emergence of quantitative imaging biomarkers (QIB) represents a distinct and rapidly growing subfield.
  • Understanding the collaborative landscape and growth patterns of QIB is crucial for its advancement.

Purpose of the Study:

  • To analyze the contribution and impact of the "biomarker" concept within quantitative imaging research.
  • To delineate the collaborative network structure and growth trajectory of quantitative imaging biomarkers (QIB) research.

Main Methods:

  • Bibliometric analysis of publications from the Web of Science (1976-2017).
  • Network analysis using co-authorship data to map scientific collaborations.
  • Disambiguation of research groups and assignment to institutional sectors and medical specialties.

Main Results:

  • Quantitative imaging biomarkers (QIB) emerged 20 years after initial quantitative imaging (QI) publications and have shown rapid growth since 2011.
  • QIB research is characterized by a well-established community, with leading contributors in radiology, neurology, mental health, and oncology.
  • Compared to QI, the QIB network exhibits a more cohesive structure with a stronger focus on medical specialties.

Conclusions:

  • The incorporation of biomarkers signifies a major evolutionary step in medical imaging.
  • QIB research is increasingly focused on clinical translation, indicating a shift towards practical applications.
  • The distinct characteristics of the QIB network suggest a maturing field with specialized collaborative efforts.