Expansion of SCG/GCG-Based CAD Sceering: Inclusion of Healthy Controls and CCTA Patients
HF-CAD-CCTA
Evaluation and Improvement of Diagnostic Accuracy of Seismocardiography and Gyrocardiography for Non-Invasive Coronary Artery Disease Diagnosis in Comparison with Coronary Artery Calcium Computed Tomography, Coronary Computed Tomography Angiography, and Invasive Coronary Angiography
1 other identifier
interventional
1,600
1 country
1
Brief Summary
This study evaluates a new, non-invasive method for screening coronary artery disease (CAD) using seismocardiography (SCG) and gyrocardiography (GCG). These techniques measure chest vibrations caused by heart activity using highly sensitive sensors. Participants include patients with known or suspected CAD, as well as healthy individuals and those undergoing coronary computed tomography angiography (CCTA). The goal is to determine whether SCG/GCG testing can accurately differentiate between individuals with significant and non-significant coronary artery stenosis. SCG/GCG testing will be conducted before standard diagnostic procedures, including coronary artery calcium computed tomography (CAC-CT) and CCTA. The results will be analyzed to compare the performance of this novel method with existing imaging techniques. This research aims to provide a non-invasive, cost-effective alternative for screening CAD.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Nov 2021
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 12, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 26, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2025
CompletedFirst Submitted
Initial submission to the registry
March 11, 2025
CompletedFirst Posted
Study publicly available on registry
March 17, 2025
CompletedMarch 17, 2025
March 1, 2025
2.1 years
March 11, 2025
March 11, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Screening performance of SCG/GCG for Coronary Artery Disease (CAD)
The ability of Seismocardiography (SCG) and Gyrocardiography (GCG) testing to accurately detect coronary artery disease (CAD) compared to standard diagnostic methods (CCTA).
Baseline
Study Arms (1)
SCG/GCG-Based CAD Screening with Healthy and CCTA Groups
EXPERIMENTALParticipants in this arm will undergo seismocardiography (SCG) and gyrocardiography (GCG) testing to evaluate the diagnostic accuracy of these non-invasive methods in detecting coronary artery disease (CAD). SCG/GCG utilizes high-precision accelerometers and gyroscopes to measure cardiac-induced chest wall vibrations. This study will include patients scheduled for CAC-CT or CCTA at the Republic Specialized Scientific-Practical Medical Center of Cardiology (RSPCMCC). The primary goal is to determine whether SCG/GCG testing can predict CAD, particularly in patients with hypertension and mild or no CAD, by comparing SCG/GCG-derived data with standard imaging results. Measurements will be performed before CAC-CT and CCTA in both supine and upright sitting positions to assess the effect of posture on SCG/GCG signals.
Interventions
This intervention involves the use of SCG/GCG diagnostic testing, a radiation-free, non-invasive technique for assessing cardiac function. SCG/GCG utilizes high-precision accelerometers and gyroscopes to record and analyze cardiac-induced microvibrations on the chest. Participants will undergo SCG/GCG testing before their scheduled coronary artery calcium computed tomography (CAC-CT) or coronary computed tomography angiography (CCTA). The study aims to evaluate the diagnostic performance of SCG/GCG in identifying CAD, particularly in hypertensive patients and those with mild CAD. Data collected from SCG/GCG will be compared with CAC-CT and CCTA findings to determine its predictive value for CAD severity and coronary artery stenosis.
Eligibility Criteria
You may qualify if:
- Age 40 years or older.
- Electively scheduled for CAC-CT and have an indication for CCTA
- Suspected coronary artery disease (CAD) based on the presence of:
- At least two cardiovascular risk factors (e.g., hypertension, smoking, diabetes, dyslipidemia, obesity).
- CAD-related symptoms (e.g., chest pain, dyspnea on exertion).
- Suspected congenital coronary abnormalities.
- Ability to provide informed consent.
You may not qualify if:
- Severe cardiac arrhythmias that may interfere with SCG/GCG recordings.
- Decompensated heart failure or severe valvular heart disease.
- Other clinically significant concomitant diseases that may impact study participation.
- History of heart surgery (e.g., recent CABG, valve replacement) that alters chest wall dynamics.
- Contraindications for undergoing CAC-CT or CCTA (e.g., severe renal insufficiency preventing contrast use).
- Inability to remain still in supine or upright sitting positions for testing.
- Inability to provide informed consent due to cognitive or neurological conditions.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Republic Specialized Scientific-Practical Medical Center of Cardiology (RSPCMCC)
Tashkent, Uzbekistan
Related Publications (3)
Dehkordi P, Bauer EP, Tavakolian K, Zakeri V, Blaber AP, Khosrow-Khavar F. Identifying Patients With Coronary Artery Disease Using Rest and Exercise Seismocardiography. Front Physiol. 2019 Sep 24;10:1211. doi: 10.3389/fphys.2019.01211. eCollection 2019.
PMID: 31607951BACKGROUNDDehkordi P, Khosrow-Khavar F, Di Rienzo M, Inan OT, Schmidt SE, Blaber AP, Sorensen K, Struijk JJ, Zakeri V, Lombardi P, Shandhi MMH, Borairi M, Zanetti JM, Tavakolian K. Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation. Front Physiol. 2019 Aug 22;10:1057. doi: 10.3389/fphys.2019.01057. eCollection 2019.
PMID: 31507437BACKGROUNDDehkordi P, Tavakolian K, Tadi MJ, Zakeri V, Khosrow-Khavar F. Investigating the estimation of cardiac time intervals using gyrocardiography. Physiol Meas. 2020 Jun 10;41(5):055004. doi: 10.1088/1361-6579/ab87b2.
PMID: 32268315BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- SCREENING
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
March 11, 2025
First Posted
March 17, 2025
Study Start
November 12, 2021
Primary Completion
December 26, 2023
Study Completion
February 1, 2025
Last Updated
March 17, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will not share