Imaging-derived biomarkers in Asthma: Current status and future perspectives.

Journal: Respiratory medicine
Published Date:

Abstract

Asthma is a common disorder affecting around 315 million individuals worldwide. The heterogeneity of asthma is becoming increasingly important in the era of personalized treatment and response assessment. Several radiological imaging modalities are available in asthma including chest x-ray, computed tomography (CT) and magnetic resonance imaging (MRI) scanning. In addition to qualitative imaging, quantitative imaging could play an important role in asthma imaging to identify phenotypes with distinct disease course and response to therapy, including biologics. MRI in asthma is mainly performed in research settings given cost, technical challenges, and there is a need for standardization. Imaging analysis applications of artificial intelligence (AI) to subclassify asthma using image analysis have demonstrated initial feasibility, though additional work is necessary to inform the role of AI in clinical practice.

Authors

  • Esther Pompe
    Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: esther.pompe@gmail.com.
  • Anastasia Kal Kwee
    Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: A.K.A.L.Kwee-2@umcutrecht.nl.
  • Vickram Tejwani
    Respiratory Institute, Cleveland Clinic (VT), USA. Electronic address: tejwanv@ccf.org.
  • Trishul Siddharthan
    Division of Pulmonary, Critical Care and Sleep Medicine, University of Miami (TS), USA. Electronic address: tsiddhar@miami.edu.
  • Firdaus Aa Mohamed Hoesein
    Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands. Electronic address: fmohamedhoesein@gmail.com.