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Related Experiment Video

Updated: Sep 9, 2025

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
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Improved Myocardial Tissue Characterization Using Delayed-Phase Dynamic Contrast-enhanced Cardiac MRI.

Li-Ting Huang1,2, Xinheng Zhang3,4, Xinqi Li1

  • 1Department of Biomedical Sciences, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, 8700 Beverly Blvd, PACT, Ste 400, Los Angeles, CA 90048.

Radiology. Cardiothoracic Imaging
|August 28, 2025
PubMed
Summary

A new delayed-phase dynamic contrast-enhanced MRI (dDCE) model accurately assesses myocardial tissue physiology and late gadolinium enhancement (LGE) in reperfused myocardial infarction (MI) within five minutes. This rapid assessment shows potential for comprehensive evaluation of heart disease.

Keywords:
Dynamic Contrast-enhanced MRIIschemic Heart DiseaseMRIMyocardial InfarctionPharmacokinetics

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Area of Science:

  • Cardiovascular Imaging
  • Medical Physics
  • Radiology

Background:

  • Delayed-phase dynamic contrast-enhanced MRI (dDCE) is crucial for assessing myocardial infarction (MI).
  • Quantitative assessment of myocardial tissue physiology and late gadolinium enhancement (LGE) typically requires longer imaging times.
  • Developing faster MRI techniques is essential for efficient clinical workflows.

Purpose of the Study:

  • To evaluate a novel dDCE MRI model for quantitative assessment of myocardial tissue physiology.
  • To assess the model's performance in detecting late gadolinium enhancement (LGE) within 5 minutes post-contrast injection.
  • To compare the 5-minute dDCE model with a 30-minute model and standard LGE imaging.

Main Methods:

  • An animal study involving 11 canines with reperfused MI was conducted.
  • A dDCE model using dynamic postcontrast T1 maps was employed to analyze contrast washout.
  • dDCE parameters from a 30-minute washout (dDCE30min) and a 5-minute subset (dDCE5min) were compared.
  • Late gadolinium enhancement images were synthesized from dDCE5min (LGE_dDCE) and compared to standard LGE (LGE_standard).

Main Results:

  • The dDCE30min map showed significantly higher extravascular extracellular volume and capillary permeability surface area product in MI regions compared to remote myocardium (P=.02 for both).
  • No significant differences were found between dDCE5min and dDCE30min parameters (P>.05).
  • LGE_dDCE and LGE_standard showed comparable LGE area (P=.99) and transmurality (P=.06), but LGE_dDCE had a higher contrast-to-noise ratio (P<.01).
  • The area under the ROC curve for MI detection using LGE_dDCE was 0.97, with 94.4% sensitivity and 96.7% specificity.

Conclusions:

  • The developed dDCE MRI model enables rapid and accurate quantitative assessment of myocardial tissue physiology.
  • The model effectively synthesizes LGE images within 5 minutes, offering enhanced lesion contrast and diagnostic performance.
  • This approach supports comprehensive evaluation of myocardial injury in heart disease, potentially improving diagnostic efficiency.