Percutaneous coronary intervention
ProcedureIVUS-guided stent implantation
NCT Number: NCT05807841
This study is a prospective, multicenter study in the real practice to validate the diagnostic performances and clinical impact of coronary angiography & intravascular ultrasound (IVUS)-based models developed by machine learning (ML).
Interested in participating?
Request Info19 year and older
All sexes
Observational
Soon Chun Hyang University Hospital Bucheon, Bucheon-si, South Korea
The aim of the study is to evaluate the performances and prognostic impact of coronary angiography & IVUS-based algorithms for decision making and stent optimization in a multicenter, prospective cohort. Between January 2020 and June 2027, a total of 3,000 patients who performed coronary angiography (± FFR) and have at least one coronary stenosis requiring PCI (as culprit) will be enrolled from 16 centers in South Korea. In addition, the deferred lesions with visual estimated diameter stenosis of >30% will be evaluated as non-culprits. Brief study design is as depicted in the following figure.
Supervised ML algorithms include: 1) angiography- and IVUS-based algorithms for predicting FFR, 2) IVUS-based algorithm for plaque characterization, 3) IVUS-based algorithm for predicting stent expansion, and 4) post-stenting IVUS-based algorithm for predicting stent failure. In the prospective cohort, the performance of each model will be assessed. This registry trial composed of the treated (culprit) and the deferred (nonculprit) coronary lesions has two primary objectives as follow; 1) Primary objectives in treated (culprit) lesions is to see the impact of the integrated ML model on the development of culprit-related 2-year target vessel failure (TVF). 2) Primary objectives in deferred (nonculprit) lesions is to see the impact of the integrated ML model on the development of nonculprit-related 2-year TVF.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Patient exclusion Criteria:
Lesion exclusion Criteria:
IVUS-guided stent implantation
Time frame: 2 years after stent implantation
composite of cardiac death, myocardial infarction (MI), stent thrombosis, and clinically-driven target vessel revascularization (TVR) at 2 years after SynergyTM implantation
Time frame: 2 years after stent implantation
composite of cardiac death, MI, and clinically-driven TVR at 2 years
Time frame: 2 years after stent implantation
each of cardiac death, non-fetal MI, ST and target vessel revascularization
Time frame: 2 years after stent implantation
all cause death
Time frame: 2 years after stent implantation
repeat revascularization
Time frame: 2 years after stent implantation
stroke
Time frame: 2 years after stent implantation
bleeding
Contact information is provided by the study sponsor or research team.
Asan Medical Center
Other
Influence of Novel Intravascular Ultrasound-Based Artificial Intelligence Technologies on Event Reduction Following Percutaneous Coronary Intervention (INNOVATE-PCI)
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07720349
Arterial Occlusive Diseases, Arteriosclerosis
Arendal, Norway
View Trial DetailsNCT02038127
Arterial Occlusive Diseases, Arteriosclerosis
Chuncheon, Gangwon-do, South Korea
View Trial DetailsNCT07190690
Arterial Occlusive Diseases, Arteriosclerosis
Alicante, Spain
View Trial DetailsNCT05611307
ASCVD, Arterial Occlusive Diseases
Indianapolis, Indiana, United States
View Trial Details