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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Impactful Cardiac CT and MRI Articles from 2023.

Fionn Coughlan1, Sebastian Flynn1, Alexander Haenel1

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Recent advancements in cardiac CT and MRI imaging are enhancing cardiovascular disease diagnosis and prognosis. Artificial intelligence applications are improving coronary plaque quantification and risk assessment, offering new insights for patient care.

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CT AngiographyCardiacCoronary ArteriesHeartLeft VentricleMR ImagingTranscatheter Aortic Valve Implantation/Replacement (TAVI/TAVR)

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Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Artificial Intelligence in Medicine

Background:

  • Cardiac imaging is crucial for diagnosing, treating, and predicting prognosis in cardiovascular disease.
  • Evolving imaging protocols and analysis, alongside AI integration, are key areas of interest.
  • This review focuses on noninvasive cardiac imaging, specifically CT and MRI, from 2023 publications.

Purpose of the Study:

  • To review recent advancements in noninvasive cardiac imaging (CT and MRI) from 2023.
  • To highlight the role of artificial intelligence in cardiac imaging analysis.
  • To provide insights relevant to radiologists and referring clinicians.

Main Methods:

  • Review of notable publications in multidisciplinary journals from 2023 focusing on cardiac CT and MRI.
  • Evaluation of CT fractional flow reserve trials and photon-counting detector CT performance.
  • Analysis of AI applications for coronary plaque quantification and cardiac MRI trials for cardiomyopathies.

Main Results:

  • CT fractional flow reserve and photon-counting detector CT show promise in coronary stenosis quantification.
  • AI applications enhance coronary plaque quantification, risk stratification, and prognostic outcome prediction.
  • Cardiac MRI provides new insights into cardiomyopathies (amyloidosis, dilated, hypertrophic, myocarditis) and valvular disease.

Conclusions:

  • Recent advancements in cardiac CT and MRI, particularly with AI integration, are significantly improving cardiovascular disease assessment.
  • These technologies offer enhanced diagnostic accuracy, prognostic value, and guidance for interventions like TAVI/TAVR.
  • Emerging guidelines and societal statements underscore the impact of these imaging innovations.