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NCT Number: NCT06793774

Risk Evaluation by COronary Imaging and Artificial intelliGence Based fuNctIonal analyZing tEchniques - III

This is a single-center, prospective cohort study. This study is designed to accurately analyze coronary artery plaque characteristics and local hemodynamic parameters in patients diagnosed with chronic coronary syndrome (CCS) or non-ST-segment elevation acute coronary syndrome (NSTE-ACS), with marginal lesions or obstructive lesions in major coronary arteries by multimodality imaging including noninvasive coronary CT angiography (CCTA) and intracoronary imaging techniques, such as intravascular ultrasound (IVUS), optical coherence tomography (OCT), and near infrared spectroscopy (NIRS). The purpose of this study is to improve the accuracy and depth of plaque analysis by CCTA under the guidance of intracoronary imaging, therefore constructing a new CCTA-based high-risk plaque model.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Ruijin Hospital, Shanghai Jiaotong University School of Medicine

Shanghai, Shanghai Municipality, 200025, China

Location status: Recruiting

Location contact

Jian Li, BS

CONTACT

[email protected]

0086 021 64370045

Ruiyan Zhang, M.D., Ph.D.

PRINCIPAL_INVESTIGATOR

Shuo Feng, M.D.,Ph,D,

SUB_INVESTIGATOR

Xiaoqun Wang, M.D., Ph.D.

SUB_INVESTIGATOR

About this study

This is a single-center, prospective cohort study. This study is designed to accurately analyze coronary artery plaque characteristics and local hemodynamic parameters in patients diagnosed with chronic coronary syndrome (CCS) or non-ST-segment elevation acute coronary syndrome (NSTE-ACS), with marginal lesions (diameter stenosis [DS] between 40%-69%) or obstructive lesions (DS ≥70% or CT-FFR <0.8) in major coronary arteries by multimodality imaging including noninvasive coronary CT angiography (CCTA) and intracoronary imaging techniques, such as intravascular ultrasound (IVUS), optical coherence tomography (OCT), and near infrared spectroscopy (NIRS). The congruity and incongruity between different imaging modalities will be evaluated.

The purpose of this study is to improve the accuracy and depth of plaque analysis by CCTA under the guidance of intracoronary imaging by co-registration, feature extraction, radiomic analysis and machine learning. Afterwards, a new CCTA-based high-risk plaque model will be constructed through the training process guided by intracoronary imaging and hemodynamic evaluation.

The cohort will be followed-up every 3 months for 2 years. Cross-validation will be performed to compare the new model with traditional CTA models in detecting high-risk plaques and predicting the occurrence of major adverse cardiovascular events (MACEs). All the patients with CCS or NSTE-ACS, who undergo CCTA to confirm the presence of marginal or obstructive coronary lesions, and the subsequent invasive coronary angiography and intracoronary imaging examination within 1 month after CCTA will be enrolled.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age ≥ 18 years
  • Patients with CCS or NSTE-ACS
  • Receive CCTA scan, with marginal lesions (DS between 40%-69%) or obstructive lesions (DS ≥70% or CT-FFR <0.8) in major coronary arteries
  • Receive invasive coronary angiography and intracoronary imaging examination, including IVUS, OCT, NIRS, within 1 month after CCTA

Exclusion criteria

  • Unsuitable for CCTA (such as severe renal impairment, uncontrolled thyroid condition, allergic to iodine, etc.)
  • Receive percutaneous coronary intervention (PCI) within 6 months
  • Prior history of myocardial infarction or heart failure
  • Prior history of coronary artery bypass graft (CABG)
  • Abnormal liver function (serum alanine aminotransferase [ALT] level exceeding 3 times the upper limit of normal) or abnormal kidney function (eGFR ≤30%)
  • Familial hypercholesterolemia
  • Estimated survival ≤ 1 year
  • Malignant tumor
  • Pregnant or lactation, or have the intention to give birth within one year
  • Poor compliance, unable to follow-up

Treatment and study plan

Primary outcomes

  1. Prediction performance of high-risk plaques by CCTA

    Time frame: 2 Years

    By using intracoronary imaging as the 'gold standard', the new CCTA model generated by machine learning will be compared with traditional CCTA models in the prediction performance of high-risk plaques (area under receiver operating characteristics curve, etc.)

Secondary outcomes

  1. Major cardiovascular events (MACEs)

    Time frame: 2 years

    A composite endpoint of cardiovascular death, non-fatal myocardial infarction, and unplanned revascularization during follow-up. The prediction performance of MACEs by the new model and traditional CCTA models will be compared

  2. Cardiovascular death

    Time frame: 2 years

    The occurrence of cardiovascular death during follow-up. The prediction performance of cardiovascular death by the new model and traditional CCTA models will be compared.

  3. Myocardial infarction

    Time frame: 2 years

    The occurrence of myocardial infarction during follow-up. The prediction performance of myocardial infarction by the new model and traditional CCTA models will be compared.

  4. Unplanned revascularization

    Time frame: 2 years

    The occurrence of unplanned revascularization during follow-up. The prediction performance of unplanned revascularization by the new model and traditional CCTA models will be compared.

Study contacts

Contact information is provided by the study sponsor or research team.

Shuo Feng, M.D., Ph.D.

CONTACT

[email protected]

+86 21 64370045 ext. 671605

Xiaoqun Wang, M.D., Ph.D.

CONTACT

[email protected]

+86 21 64370045 ext. 671605

Sponsors and collaborators

Lead sponsor

Ruijin Hospital

Other

Registry information

Official study title

Risk Evaluation by Coronary Imaging and Artificial Intelligence-Based Functional Analyzing Techniques: Integrated Plaque Analysis by Coronary CT Angiography and Intracoronary Imaging.

Acronym: RECOGNIZE-III

Important dates

Study start
2024
Primary completion
2025
Study completion
2027
First posted
Jan 27, 2025
Registry last updated
Jan 27, 2025

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.

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