Warning Model of Myocardial Remodeling After Acute Myocardial Infarction Using Multimodal Feature Structure Technology - Trial NCT06062316
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Study Focus
Observational
Sponsor & Location
Xuanwu Hospital, Beijing
Timeline & Enrollment
N/A
Oct 10, 2022
Dec 01, 2025
Primary Outcome
Novel convolutional neural network algorithm and cardiac magnetic resonance imaging to evaluate the occurrence of myocardial remodeling.remodeling after myocardial infarction.
Summary
Acute myocardial infarction (AMI) is one of the most important diseases threatening human
 life. The existing MI prognosis prediction scales mostly predict the incidence of death,
 recurrent MI and heart failure through 6-8 clinical text indicators, and the data are
 collected relatively simply. Myocardial remodeling, as an adverse pathological change that
 can start and continue to progress in the early stage after myocardial infarction, is the
 main pathological mechanism of heart failure and death. However, there is no quantitative
 early-warning model of myocardial remodeling, and the clinical guidance of early intervention
 is lacking.
 
 Our previous study found that cardiac magnetic resonance imaging can accurately quantify the
 necrotic area and recoverable myocardium in the edematous myocardium after myocardial
 infarction. In this study, machine learning algorithm, variable convolution network (DCN) and
 capsule network (capsnet) are used to build a new neural network architecture. Structural
 feature extraction of multi-modal clinical image data such as MRI and ultrasound is realized.
 Combined with the established database of 3000 patients with myocardial infarction, the
 multimodal feature matrix will be constructed, and a variety of classifiers such as support
 vector machine (SVM) and random forest (RF) will be used for quantitative prediction of
 myocardial remodeling, and the effects of different classifiers were evaluated. It is
 expected that this project will establish a quantitative early warning model of myocardial
 remodeling after acute myocardial infarction in line with the characteristics of Chinese
 people. The same type of data outside the database will be used for verification to establish
 an efficient and stable early warning model.
ICD-10 Classifications
Data Source
ClinicalTrials.gov
NCT06062316
Non-Device Trial