Ultra-sensitive Magnetocardiography in the Accurate Identification of Severe Coronary Lesions and Myocardial Necrosis
Sponsor study identifier
interventional
430
1 country
1
Study Start
May 30, 2022
Actual (reported)Primary Completion
August 30, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
December 30, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Magnetocardiography (MCG) is a promising noninvasive and accurate method for detecting myocardial ischemia. Although progress has been made in this area, there is a lack of studies using up-to-date examination instruments for the calibration of MCG analysis. This is a prospective single-center study aiming to build accurate analytical models of MCG to detect coronary lesions and myocardial necrosis. Coronary lesions are measured by coronary angiography (CAG) or coronary CTA, and are defined by both the stenosis degree and the computer-simulated fraction flow reserve. Myocardial necrosis is examined and quantified by cardiac MR. Healthy volunteers, chest pain patients who will receive CAG or CTA examination, and patients with acute myocardial infarction will be enrolled in this study.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
December 30, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
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Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
May 23, 2022
Actual (reported)May 26, 2022
Actual (reported)May 30, 2022
Actual (reported)August 30, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
December 30, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Accuracy of MCG to detect coronary lesion
To establish an algorithm model of MCG in detecting coronary lesion and to assess the sensitivity and specificity of the above model in detecting coronary lesion. Coronary lesion is measured by degree of stenosis via CAG/CTA and computer-simulated fraction flow reserve via QFR/CTFFR.
24 hours
Accuracy of MCG to detect myocardial necrosis
To establish an algorithm model of MCG in detecting myocardial necrosis and to assess the sensitivity and specificity of this model in detecting myocardial necrosis, which is measured via cardiac MR.
24 hours
Accuracy of MCG to detect the localization of coronary lesion
24 hours
Accuracy of MCG to detect the zone of myocardial necrosis
24 hours
inspection equipment for magnetocardiography
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
Qilu Hospital of Shandong University
Jinan, Shandong, 250012, China
Wang R, Liu Z, Pang J, Sun J, Xiang M, Ning X. SkipDAEformer: A High-Precision Representation Learning Method for Removing Random Mixed Noise in MCG Signals. IEEE J Biomed Health Inform. 2025 Nov;29(11):8086-8099. doi: 10.1109/JBHI.2025.3579060.
Yuguo Chen, Dr
Qilu Hospital of Shandong University
First Submitted
May 23, 2022
First Posted
May 26, 2022
Study Start
May 30, 2022
Actual (reported)Primary Completion
August 30, 2024
Estimated (date passed)Contact the study team to confirm eligibility.
This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
December 30, 2024
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Last Updated
August 22, 2024
Record last verified: 2024-05
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Source: ClinicalTrials.gov.
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