Cardiac Magnetic Resonance Imaging Feature Tracking for Quantifying Left Ventricle Deformation in Type 2 Diabetic Patients

, , , , , , , ,

Abstract

An evaluation of myocardial function is necessary to assess the condition of a patient's heart. Although ejection fraction is used as a measure of myocardial function, many common cardiac illnesses affect the myocardium locally rather than globally. It may therefore be possible to determine the motion of the regional wall of the heart by evaluating myocardial strain. Studying the efficacy of CMR feature tracking in diabetics Type 2 To determine whether the use of MRI feature tracking is effective in detecting myocardial strain deformations in diabetics and healthy individuals.

This study involved 80 patients, 40 of whom had Type 2 diabetes and 40 of whom did not, who were subjected to cardiac MRI and echocardiography. Post-processing was done offline using CMR feature tracking and echocardiography speckle tracking, followed by SPSS analysis of the data. T2DM patients and controls did not demonstrate any significant differences in the study. There was a significant decrease in the LV GLS and LV GRS values among T2DM patients (p 0.0001) as compared to normal controls. Where the LV GLS was in controls (-20±5) and diabetes (-15±2). The CMR-FT method is well suited for accommodating STE, providing additional information in clinical trials, which can be used interchangeably. This study recommends that feature tracking (FT-CMR) and speckle tracking echocardiography (STE-Echo) be incorporated into the clinical practices of hail hospitals due to their positive results in diagnosing myocardial deformation.

Views: 125 | Downloads: 30

How to cite:
Vancouver
Alshammari QT, Almutairi W, Alshammari E, Alrashidi O, Alshammari MT, Alyahyawi. AR, et al. Cardiac Magnetic Resonance Imaging Feature Tracking for Quantifying Left Ventricle Deformation in Type 2 Diabetic Patients. Int J Pharm Res Allied Sci. 2022;11(4):115-22. https://doi.org/10.51847/DGpw4YL4Ox
APA
Alshammari, Q. T., Almutairi, W., Alshammari, E., Alrashidi, O., Alshammari, M. T., Alyahyawi., A. R., Alzamil, Y., Shahanawaz, S., & Shashi, C. G. K. (2022). Cardiac Magnetic Resonance Imaging Feature Tracking for Quantifying Left Ventricle Deformation in Type 2 Diabetic Patients. International Journal of Pharmaceutical Research and Allied Sciences, 11(4), 115-122. https://doi.org/10.51847/DGpw4YL4Ox