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Imaging Studies for Cardiovascular System III: X-Ray01:20

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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
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Related Experiment Video

Updated: May 28, 2025

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
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Myocardial MRI Cine Radiomics: A Novel Approach to Risk-Stratification for Major Adverse Cardiovascular Events in

Ming-Lei Li1, Ruo-Yang Shi2, Jin-Yu Zheng2

  • 1Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, China.

Journal of Magnetic Resonance Imaging : JMRI
|February 11, 2025
PubMed
Summary

Myocardial cine radiomics significantly improve risk assessment for major adverse cardiovascular events (MACE) in ST-elevation myocardial infarction (STEMI) patients. Integrating radiomics with traditional parameters enhances risk stratification, offering a novel approach to personalized cardiovascular care.

Keywords:
acute myocardial infarctionradiomics

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Area of Science:

  • Cardiovascular Imaging
  • Radiomics
  • Predictive Modeling

Background:

  • The prognostic value of myocardial cine radiomics in ST-elevation myocardial infarction (STEMI) for predicting major adverse cardiovascular events (MACE) is not well-established.
  • Integrating advanced imaging biomarkers with clinical data is crucial for refining risk prediction in STEMI patients.

Purpose of the Study:

  • To assess the incremental prognostic value of myocardial cine radiomics when combined with clinical information and cardiac MRI parameters in STEMI patients.
  • To determine if cine radiomics can enhance the risk stratification for MACE in this population.

Main Methods:

  • A retrospective analysis of 1024 STEMI patients (training: 819, testing: 205) using 3.0 T cardiac MRI.
  • Development of a 'Rad_score' from radiomic variables and creation of risk models integrating clinical data, MRI parameters (LVEF, LGE), and Rad_score.
  • Prognostic evaluation using univariable and multivariable Cox proportional hazards models.

Main Results:

  • Myocardial cine radiomics (Rad_score) were a significant independent predictor of MACE (HR 1.46; P < 0.01).
  • The integrated risk stratification model, including Rad_score, reclassified risk for 33-34% of patients compared to models without radiomics.
  • MACE occurred in 17% (training) and 15% (testing) of patients over a median follow-up of 3.1 years.

Conclusions:

  • Myocardial cine radiomics are significantly associated with MACE risk in STEMI patients.
  • Integrating cine radiomics provides incremental prognostic value beyond traditional clinical and MRI parameters.
  • This approach offers a novel strategy for personalized risk assessment in STEMI management.