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The year in cardiovascular medicine 2021: imaging

Chiara Bucciarelli-Ducci1, Nina Ajmone-Marsan2, Marcelo Di Carli3,4,5,6

  • 1Royal Brompton and Harefield Hospitals, Guys' and St Thomas NHS Trust and School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.

European Heart Journal
|March 8, 2022
PubMed

Insights

Cardiovascular imaging in 2021 advanced understanding of COVID-19 myocardial damage. Key developments include artificial intelligence applications and new insights into valvular heart disease, ischemic heart disease, and cardiac amyloidosis.

Area of Science:

  • Cardiovascular Medicine
  • Medical Imaging
  • Artificial Intelligence in Healthcare

Background:

  • The COVID-19 pandemic significantly impacted cardiovascular care and diagnostic testing access in 2021.
  • Cardiovascular imaging played a crucial role in assessing myocardial damage caused by COVID-19.
  • Research trends shifted beyond pandemic impacts, focusing on other cardiac conditions.

Purpose of the Study:

  • To review significant 2021 literature on cardiovascular imaging applications.
  • To highlight advancements in understanding COVID-19's cardiac effects.
  • To explore emerging trends in cardiac imaging, including AI and advanced modalities.

Main Methods:

  • Comprehensive literature review of publications from 2021.
  • Analysis of studies focusing on cardiovascular imaging techniques.
  • Synthesis of findings related to COVID-19, valvular heart disease, AI, ischemic heart disease, and cardiac amyloidosis.

Main Results:

  • Cardiovascular imaging aided in understanding COVID-19-related myocardial injury.
  • Significant literature emerged on valvular heart disease imaging.
  • Artificial intelligence (AI) applications in cardiovascular imaging increased.
  • Advanced imaging modalities showed promise in ischemic heart disease and cardiac amyloidosis.

Conclusions:

  • Cardiovascular imaging remains vital, adapting to pandemic challenges and driving innovation.
  • AI and advanced imaging techniques are transforming the diagnosis and management of various cardiac conditions.
  • Future research will likely focus on integrating AI and novel imaging approaches for complex cardiovascular diseases.

Keywords:
AmyloidosisCMRCardiac CTEchocardiographyImagingIschaemic heart diseaseMagnetic resonancePETSPECTValvular heart disease

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