Related Experiment Video
Updated: Feb 2, 2026

A Pre-clinical Rat Model for the Study of Ischemia-reperfusion Injury in Reconstructive Microsurgery
Published on: November 8, 2019
Comparison of the predictive value of four-dimensional speckle tracking imaging risk classification and the TIMI
Yingchun Wang1, Rong Xu1, Xiaohua Yin2
1Department of Ultrasound, Shanghai Jiading Center Hospital, Shanghai 201800, P.R. China.
Abstract:
The predictive value of four-dimensional speckle tracking imaging (4D-STI) risk classification and TIMI risk scores for the prognosis of patients with ST-segment elevation myocardial infarction (STEMI) after reperfusion therapy were investigated. One hundred and twenty patients with STEMI after reperfusion therapy were involved. At 12 h after reperfusion therapy, 2nd and 3rd day, the three-dimensional longitudinal strain (LS), circumferential strain (CS) and radial strain (RS), area strain (AS), as well as other 4D-STI detection indicators, were collected. The patients were followed up for one year, and were divided into good prognosis group and poor prognosis group. LS, CS, RS and AS indicators were analyzed between these two groups. The ROC curve was drawn to establish the 4D-STI risk classification and its predictive value for poor prognosis and mortality were compared with TIMI risk scores. AS, LS and RS at 12 h after reperfusion treatment, and AS and RS at 2nd and 3rd day had a certain degree of prediction accuracy in STEMI patients in the poor prognosis group. In the 4D-STI and TIMI risk scores, the risk of death and adverse prognosis significantly increased as the risk scores increased (P<0.01). The 4D-STI risk score for predicting poor prognosis and mortality was greater than the TIMI risk score. 4D-STI risk scores are superior to TIMI risk scores in predicting poor prognosis and mortality in patients with STEMI after reperfusion therapy.
More Related Videos
09:05Transthoracic Speckle Tracking Echocardiography for the Quantitative Assessment of Left Ventricular Myocardial Deformation
Published on: October 20, 2016
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
Related Concept Videos
The Sense of Self: Reflected Self-Appraisal and Social Comparison
Classification of Elements and Compounds
Compounds are pure substances composed of two or more elements in fixed, definite proportions. Compounds are classified as ionic or molecular (covalent) based on the bonds...
Predicting Molecular Geometry
Relative Risk
Molecular Comparison of Gases, Liquids, and Solids
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.