Warning Model of Myocardial Remodeling After Acute Myocardial Infarction Using Multimodal Feature Structure Technology

NCT06062316 | Unknown

• 1 other identifier: xuanwuliuzhi
• Study Type: observational
• Target: 4,000
• Locations: 1 country
• Sites: 1

Brief 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.

Conditions

Myocardial Infarction

Keywords

Computer aided diagnosis; Myocardial Remodeling; Early warning model; Myocardial infarction; MRI

Outcome Measures

Primary Outcomes (1)

• Novel convolutional neural network algorithm and cardiac magnetic resonance imaging to evaluate the occurrence of myocardial remodeling.remodeling after myocardial infarction.

  (Quantitative characterization of myocardial remodeling, cardiac magnetic resonance imaging quantifying necrotic areas and recoverable myocardium within the edematous myocardium after myocardial infarction).

  1year

Secondary Outcomes (1)

• The multi-dimensional indexes of existing database were compared with the location and course of myocardial remodeling by artificial intelligence method Degree of correlation analysis.

  1year

Eligibility Criteria

• Age: 18 Years - 80 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Criteria for the diagnosis of acute myocardial infarction: increased or decreased cardiac biomarkers (preferably cTn), at least once exceeding the 99th percentile of the upper reference value, cut-off variability ≤10%, and at least one evidence of myocardial ischemia (including symptoms, electrocardiographic ischemic changes, pathological Q-waves, or imaging evidence).

You may qualify if:

• Patients with acute myocardial infarction, aged 18-80 years; 2.The time from onset to treatment is less than 72h 3.Myocardial enzyme Tni/Tnt(+).

You may not qualify if:

• Patients with malignant tumors; 2.Patients who could not receive conventional treatment 3.Patients who did not receive coronary angiography, lacking anatomical and imaging data; 4.Patients who have undergone cardiac surgery (except coronary artery bypass surgery)

Sponsors & Collaborators

• Xuanwu Hospital, Beijing: lead
• Beijing Institute of Technology: collaborator

Study Sites (1)

Xuanwu Hospital, Capital Medical University

Beijing, Xicheng, 100000, China

Location

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MeSH Terms

Conditions

Myocardial Infarction

Condition Hierarchy (Ancestors)

Myocardial Ischemia; Heart Diseases; Cardiovascular Diseases; Vascular Diseases; Infarction; Ischemia; Pathologic Processes; Pathological Conditions, Signs and Symptoms; Necrosis

Study Officials

• Zhi Liu

  Xuanwu Hospital, Beijing

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 17, 2023
• First Posted: October 2, 2023
• Study Start: October 10, 2022
• Primary Completion: June 1, 2024
• Study Completion: June 1, 2024
• Last Updated: April 30, 2024

Record last verified: 2023-10

Locations

CN (1)