Features of the Left Ventricular Functional Geometry in Patients with Myocardial Diseases with Varying Degrees of

T V Chumarnaya1,2, Yu S Alueva3,4, V V Kochmasheva3,4

  • 1Institute of Immunology and Physiology, Ural Division of the Russian Academy of Sciences, Ekaterinburg, Russia. chumarnaya@gmail.com.

Insights

Researchers found that the spatial heterogeneity index and end-systolic Fourier shape-power index significantly differ in patients with myocardial disease and varying degrees of left ventricular systolic dysfunction, offering diagnostic value.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Myocardial diseases can impair left ventricular (LV) systolic function, leading to heart failure.
  • Understanding the geometric and kinetic alterations in the LV is crucial for diagnosing and managing these conditions.
  • Current methods may not fully capture the complex spatio-temporal dynamics of LV wall motion.

Purpose of the Study:

  • To investigate the functional geometry of the left ventricle in patients with myocardial diseases and varying degrees of systolic dysfunction.
  • To identify quantitative characteristics of LV functional geometry that correlate with the severity of systolic dysfunction.
  • To assess the diagnostic power of specific geometric indices in differentiating patient groups.

Main Methods:

  • Analysis of left ventricular functional geometry using spatio-temporal analysis of wall kinetics during systole.
  • Calculation of the spatial heterogeneity index to quantify wall motion variability.
  • Determination of the end-systolic Fourier shape-power index to assess LV shape complexity.
  • Comparison of these indices between healthy subjects and patient groups with different severities of left ventricular systolic dysfunction.

Main Results:

  • A negative correlation was observed between spatio-temporal heterogeneity of LV wall kinetics and ejection fraction in both normal and dysfunctioning hearts.
  • Quantitative characteristics of functional geometry differed significantly between normal subjects and patients, and among patient groups based on systolic dysfunction severity.
  • The spatial heterogeneity index and end-systolic Fourier shape-power index showed significant differences across groups and demonstrated the greatest diagnostic power.

Conclusions:

  • Left ventricular functional geometry exhibits distinct features in patients with myocardial diseases, varying with the degree of systolic dysfunction.
  • Spatio-temporal heterogeneity and shape complexity indices are sensitive markers of LV systolic dysfunction.
  • These indices hold significant diagnostic potential for identifying and stratifying patients with myocardial disease-related systolic dysfunction.

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