Study on the Value of Three-dimensional Speckle Tracking Technique
NCT ID: NCT03905200
Last Updated: 2019-04-05
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
800 participants
OBSERVATIONAL
2019-03-01
2020-12-31
Brief Summary
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In this study, coronary angiography is taken as the "gold standard", and 3d-STI echocardiography technology is proposed to combine with clinical characteristics of subjects for joint diagnosis, so as to evaluate the value of 3d-sti technology in the diagnosis of coronary heart disease.
Patients were followed up with echocardiography after interventional treatment to explore the feasibility of 3D-STI technology in evaluating cardiac function improvement.
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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coronary artery disease
Patients who were diagnosed with coronary heart disease at admission and planned to undergo coronary angiography
3D-speckle tracking imaging
The strain peak value and strain peaking time of each segment (including 16 segments) of the left ventricular myocardium can be obtained by 3d-sti technology.
Interventions
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3D-speckle tracking imaging
The strain peak value and strain peaking time of each segment (including 16 segments) of the left ventricular myocardium can be obtained by 3d-sti technology.
Eligibility Criteria
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Inclusion Criteria
* patients underwent coronary angiography with or without PCI
Exclusion Criteria
* patients with severe heart valvular disease
* patients with severe cardiomyopathy
* patients with congenital heart disease
* patients with severe heart failure stage
* patients with acute myocardial infarction occurred during follow-up
* patients with other extremely severe illness
* patients whose images are not clear enough to mark the endocardium
18 Years
ALL
No
Sponsors
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Beijing Hospital
OTHER_GOV
Responsible Party
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Fang Wang
Professor
Locations
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Beijing Hospital
Beijing, Beijing Municipality, China
Countries
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Facility Contacts
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References
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Guo Y, Cai YH, Xu T, Song XY, Guo HX, Dong M, Ni D, Li H, Wang F, Xue WF. Echocardiographic video-driven multi-task learning model for coronary artery disease diagnosis and severity grading. Front Bioeng Biotechnol. 2025 Jul 25;13:1556748. doi: 10.3389/fbioe.2025.1556748. eCollection 2025.
Guo Y, Xia C, Zhong Y, Wei Y, Zhu H, Ma J, Li G, Meng X, Yang C, Wang X, Wang F. Machine learning-enhanced echocardiography for screening coronary artery disease. Biomed Eng Online. 2023 May 11;22(1):44. doi: 10.1186/s12938-023-01106-x.
Guo Y, Wang X, Yang CG, Meng XY, Li Y, Xia CX, Xu T, Weng SX, Zhong Y, Zhang RS, Wang F. Noninvasive assessment of myocardial work during left ventricular isovolumic relaxation in patients with diastolic dysfunction. BMC Cardiovasc Disord. 2023 Mar 10;23(1):129. doi: 10.1186/s12872-023-03156-4.
Other Identifiers
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Z161100000516053
Identifier Type: -
Identifier Source: org_study_id
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