A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling

Abstract

Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with traditional models. However, no models that contain comprehensive risk factors were assessed, and there are limited data on the comparison of different 3D STE parameters. In this study, we sought to build a machine learning model for predicting LVR in AMI patients after effective percutaneous coronary intervention (PCI) that contains the majority of the clinical risk factors and compare 3D STE parameters values for LVR prediction. We enrolled 135 first-onset AMI patients (120 males, mean age 54 ± 9 years). All patients went through a 3D STE and a traditional transthoracic echocardiography 24 hours after reperfusion. A second echocardiography was repeated at the three-month follow-up to detect LVR (defined as a 20 percent increase in left ventricular end-diastolic volume). Six models were constructed using 15 risk factors. A receiver operator characteristic curve and four performance measurements were used as evaluation methods. Feature importance was used to compare 3D STE parameters. 26 patients (19.3%) had LVR. Our evaluation showed that RF can best predict LVR with the best AUC of 0.96. 3D GLS was the most valuable 3D STE parameters, followed by GCS, global area strain, and global radial strain (feature importance 0.146, 0.089, 0.087, and 0.069, respectively). To sum up, RF models can accurately predict the LVR after AMI, and 3D GLS was the best 3D STE parameters in predicting the LVR.

Speckle Tracking Echocardiography: Early Predictor of Diagnosis and Prognosis in Coronary Artery Disease

“…A recent investigation involving 255 STE-ACS patients undergoing PCI demonstrated that 3D-LVGLS was the strongest predictor of LV reverse remodeling (OR = 1.43, p = 0.02) and major adverse cardiac events (OR = 1.44, p < 0.0001), being superior to bidimensional LVGLS for the prediction of outcome [ 89 ]. Similar results on 3D strain as the index of future LV reverse remodeling were showed in another STE-ACS cohort [ 90 ].…”

7-Hydroxyflavone Alleviates Myocardial Ischemia/Reperfusion Injury in Rats by Regulating Inflammation

“…IHD occurring due to blocked coronary arteries has become one of the leading causes of morbidity and mortality in the world [ 5 , 18 ]. Reperfusion therapy is a double-edged sword that can restore the coronary blood flow to prevent the ischemic cardiomyocytes from injury but can also result in extra damage to the cardiomyocytes, which is called MI/RI [ 19 , 20 ].…”

“…In addition, the detailed mechanism of MI/RI is unclear. Anti-MI/RI strategies and the development of more effective cardioprotective strategies are the focuses of drug development [ 5 ]. Consequently, it is increasingly imperative to search for drugs for the treatment of MI/RI.…”

Random Forest Algorithm Construction for the Diagnosis of Coronary Heart Disease Based on Echocardiography Video Data Streams

“…Застосування випадкового лісу для класифікації даних СТЕ є не новим. У роботі [15] цей алгоритм був порівняний з іншими методами машинного навчання, такими як: дерево прийняття рішень, XGBoost, наївний байєсівський класифікатор, метод k-найближчих сусідів 67 67 Рисунок 8: Дерево випадкового лісу класифікації для позиції "long" з нульовою дозою добутаміну Рисунок 9: Дерево випадкового лісу класифікації для позиції "long" без ураховування доз добутаміну та логістична регресія. Модель випадкового лісу дала найкращий результат (90,5 % точності) на тестовій вибірці у задачі розпізнавання патології серця за даними СТЕ.…”