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NCT03905200

Study on the Value of Three-dimensional Speckle Tracking Technique

Status unknown Last updated 5 April 2019
What this trial tests

trial testing 3D-speckle tracking imaging in Echocardiography, Three-Dimensional in 800 participants. Status unknown.

Timeline
1 March 2019
Primary endpoint
31 May 2020
31 December 2020

Quick facts

Lead sponsorBeijing Hospital
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment800
Start date1 March 2019
Primary completion31 May 2020
Estimated completion31 December 2020
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Beijing Hospital

Who can join

18 and older, any sex, with Echocardiography, Three-Dimensional or Coronary Artery Disease. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

For a long time, it has been hoped that doctors could screen and diagnosis of coronary heart disease through non-invasive imaging techniques, so as to maximize the benefit/risk ratio of patients. This trial is to explore the screening and diagnostic value of three-dimensional speckle tracking technology for coronary heart disease, and the evaluation value of 3D speckle track image(3D-STI) technology for cardiac function improvement after coronary intervention, and to seek reliable, accurate and quantifiable non-invasive imaging examination for the diagnosis, follow-up and prognosis of coronary heart disease. 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.

Publications & conference data

6 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors.
    Zhang J, Zhu H, Chen Y, Yang C, et al · · 2021 · cited 15× · PMID 34116660 · DOI 10.1186/s12911-021-01535-5
  2. Machine learning-enhanced echocardiography for screening coronary artery disease.
    Guo Y, Xia C, Zhong Y, Wei Y, et al · · 2023 · cited 9× · PMID 37170232 · DOI 10.1186/s12938-023-01106-x
  3. Regional Myocardial Work Measured by Echocardiography for the Detection of Myocardial Ischemic Segments: A Comparative Study With Invasive Fractional Flow Reserve.
    Guo Y, Yang C, Wang X, Pei Z, et al · · 2022 · cited 9× · PMID 35369304 · DOI 10.3389/fcvm.2022.813710
  4. Noninvasive assessment of myocardial work during left ventricular isovolumic relaxation in patients with diastolic dysfunction.
    Guo Y, Wang X, Yang CG, Meng XY, et al · · 2023 · cited 2× · PMID 36899310 · DOI 10.1186/s12872-023-03156-4
  5. Echocardiographic video-driven multi-task learning model for coronary artery disease diagnosis and severity grading.
    Guo Y, Cai YH, Xu T, Song XY, et al · · 2025 · cited 1× · PMID 40787200 · DOI 10.3389/fbioe.2025.1556748
  6. Two-Dimensional Speckle Tracking Echocardiography Identifies Coronary Artery Disease in 690 Patients: A Retrospective Study from a Single Center.
    Zhu H, Yang C, Li Y, Guo Y, et al · · 2021 · cited 1× · PMID 33561114 · DOI 10.12659/msm.929476

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