NCT03591328

Brief Summary

The EMERALD II study is a multinational, multicenter, and retrospective study. ACS patients who underwent CCTA from 1 months to 3 years prior to the event will be retrospectively identified. Plaques in the non-culprit vessels will be regarded as a primary control group.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
429

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jul 2018

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 8, 2018

Completed
1 day until next milestone

Study Start

First participant enrolled

July 9, 2018

Completed
10 days until next milestone

First Posted

Study publicly available on registry

July 19, 2018

Completed
4.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 30, 2022

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2022

Completed
Last Updated

August 23, 2022

Status Verified

August 1, 2022

Enrollment Period

4.2 years

First QC Date

July 8, 2018

Last Update Submit

August 19, 2022

Conditions

Keywords

Acute myocardial infarctionUnstable anginaAcute coronary syndromeComputational fluid dynamicsCoronary computed tomography angiographyFractional flow reserve

Outcome Measures

Primary Outcomes (1)

  • discrimination index of prediction model

    discrimination index of prediction model

    1 months - 3 years

Study Arms (2)

Culprit

Plaques which is related with acute coronary syndrome

Diagnostic Test: Coronary CT angiography

Non-culprit

Plaques which is not related with acute coronary syndrome

Diagnostic Test: Coronary CT angiography

Interventions

Comprehensive CCTA analysis of all culprit and non-culprit lesions to obtain their per-lesion and per-vessel quantitative, qualitative plaque, and hemodynamic features is performed by the independent core laboratory (HeartFlow, Mountain View, CA, USA) blinded to patient characteristics and ICA findings. The current CCTA reporting variables, including % diameter stenosis, segment involvement score (SIS), and HRP features, are obtained for all lesions by another independent core laboratory (University of British Columbia, Vancouver, Canada) to construct a reference model. ICA and invasive imaging studies performed at the event of ACS are analyzed by the independent core laboratory (Samsung Medical Center, Seoul, Korea) to define the culprit lesion blinded to CCTA findings. Other independent experts match culprit and non-culprit lesion data between ICA and CCTA findings.

CulpritNon-culprit

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients who presented with acute coronary syndrome (acute myocardial infarction or unstable angina) and had undergone CCTA from 1 months to 3 years prior to the event.

You may qualify if:

  • Patients who presented with ACS\* and underwent invasive coronary angiography with identifiable culprit lesion
  • The patients who underwent coronary CT angiography, regardless of the reason (for example, routine healthcare check-up, or evaluation for stable angina or atypical chest pain) prior to the acute event.
  • Time limit of CCTA: 1 months \~ 3 years prior to the event.
  • Definition of ACS:
  • A. The patients with acute myocardial infarction should have cardiac enzyme elevation and identified culprit lesion confirmed by invasive coronary angiography, IVUS, or OCT.
  • B. The patients with unstable angina should have evidence of plaque rupture, which includes at least one of the following: (1) the presence of plaque rupture or haziness including thrombus at invasive coronary angiography, (2) angiographic stenosis ≥90%, or (3) the evidence of rupture confirmed by IVUS or OCT.

You may not qualify if:

  • Patients with ACS without clear evidence of culprit lesion
  • Patients with stents in two or more vessel territories prior to CCTA
  • Poor quality of CCTA which is unsuitable for plaque and CFD analysis
  • Patients with ACS culprit lesion in a stented segment
  • Patients with previous history of coronary artery bypass graft surgery
  • Patients with revascularization after CCTA and before ACS event (\*Patients with elective PCI for 1 vessel within 3 month after CCTA can be enrolled.
  • Secondary ACS due to other general medical conditions, such as sepsis, arrhythmia, bleeding, etc.
  • Poor quality CCTA images unsuitable for CFD and plaque analysis
  • No unprocessed CCTA data

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Seoul National University Hospital

Seoul, South Korea

Location

Related Publications (21)

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  • Park JB, Choi G, Chun EJ, Kim HJ, Park J, Jung JH, Lee MH, Otake H, Doh JH, Nam CW, Shin ES, De Bruyne B, Taylor CA, Koo BK. Computational fluid dynamic measures of wall shear stress are related to coronary lesion characteristics. Heart. 2016 Oct 15;102(20):1655-61. doi: 10.1136/heartjnl-2016-309299. Epub 2016 Jun 14.

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  • Lee JM, Choi G, Koo BK, Hwang D, Park J, Zhang J, Kim KJ, Tong Y, Kim HJ, Grady L, Doh JH, Nam CW, Shin ES, Cho YS, Choi SY, Chun EJ, Choi JH, Norgaard BL, Christiansen EH, Niemen K, Otake H, Penicka M, de Bruyne B, Kubo T, Akasaka T, Narula J, Douglas PS, Taylor CA, Kim HS. Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics. JACC Cardiovasc Imaging. 2019 Jun;12(6):1032-1043. doi: 10.1016/j.jcmg.2018.01.023. Epub 2018 Mar 14.

    PMID: 29550316BACKGROUND
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  • Lee JM, Choi G, Hwang D, Park J, Kim HJ, Doh JH, Nam CW, Na SH, Shin ES, Taylor CA, Koo BK. Impact of Longitudinal Lesion Geometry on Location of Plaque Rupture and Clinical Presentations. JACC Cardiovasc Imaging. 2017 Jun;10(6):677-688. doi: 10.1016/j.jcmg.2016.04.012. Epub 2016 Sep 21.

    PMID: 27665158BACKGROUND
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    PMID: 29852975BACKGROUND
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    PMID: 32174130BACKGROUND
  • Yang S, Koo BK, Hoshino M, Lee JM, Murai T, Park J, Zhang J, Hwang D, Shin ES, Doh JH, Nam CW, Wang J, Chen S, Tanaka N, Matsuo H, Akasaka T, Choi G, Petersen K, Chang HJ, Kakuta T, Narula J. CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning. JACC Cardiovasc Imaging. 2021 Mar;14(3):629-641. doi: 10.1016/j.jcmg.2020.08.025. Epub 2020 Nov 25.

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  • Yang S, Chung JW, Park SH, Zhang J, Lee K, Hwang D, Lee KS, Na SH, Doh JH, Nam CW, Kim TH, Shin ES, Chun EJ, Choi SY, Kim HK, Hong YJ, Park HJ, Kim SY, Husic M, Lambrechtsen J, Jensen JM, Norgaard BL, Andreini D, Maurovich-Horvat P, Merkely B, Penicka M, de Bruyne B, Ihdayhid A, Ko B, Tzimas G, Leipsic J, Sanz J, Rabbat MG, Katchi F, Shah M, Tanaka N, Nakazato R, Asano T, Terashima M, Takashima H, Amano T, Sobue Y, Matsuo H, Otake H, Kubo T, Takahata M, Akasaka T, Kido T, Mochizuki T, Yokoi H, Okonogi T, Kawasaki T, Nakao K, Sakamoto T, Yonetsu T, Kakuta T, Yamauchi Y, Taylor CA, Bax JJ, Shaw LJ, Stone PH, Narula J, Koo BK. Anatomical vs Physiological Lesion Characteristics in Prediction of Acute Coronary Syndrome. JACC Cardiovasc Interv. 2025 Dec 8;18(23):2833-2845. doi: 10.1016/j.jcin.2025.09.006.

  • Yang S, Jung JW, Park SH, Zhang J, Lee K, Hwang D, Lee KS, Na SH, Doh JH, Nam CW, Kim TH, Shin ES, Chun EJ, Choi SY, Kim HK, Hong YJ, Park HJ, Kim SY, Husic M, Lambrechtsen J, Jensen JM, Norgaard BL, Andreini D, Maurovich-Horvat P, Merkely B, Penicka M, de Bruyne B, Ihdayhid A, Ko B, Tzimas G, Leipsic J, Sanz J, Rabbat MG, Katchi F, Shah M, Tanaka N, Nakazato R, Asano T, Terashima M, Takashima H, Amano T, Sobue Y, Matsuo H, Otake H, Kubo T, Takahata M, Akasaka T, Kido T, Mochizuki T, Yokoi H, Okonogi T, Kawasaki T, Nakao K, Sakamoto T, Yonetsu T, Kakuta T, Yamauchi Y, Taylor CA, Bax JJ, Shaw LJ, Stone PH, Narula J, Koo BK. Prognostic Time Frame of Plaque and Hemodynamic Characteristics and Integrative Risk Prediction for Acute Coronary Syndrome. JACC Cardiovasc Imaging. 2025 Jul;18(7):784-795. doi: 10.1016/j.jcmg.2025.02.003. Epub 2025 Apr 23.

  • Koo BK, Yang S, Jung JW, Zhang J, Lee K, Hwang D, Lee KS, Doh JH, Nam CW, Kim TH, Shin ES, Chun EJ, Choi SY, Kim HK, Hong YJ, Park HJ, Kim SY, Husic M, Lambrechtsen J, Jensen JM, Norgaard BL, Andreini D, Maurovich-Horvat P, Merkely B, Penicka M, de Bruyne B, Ihdayhid A, Ko B, Tzimas G, Leipsic J, Sanz J, Rabbat MG, Katchi F, Shah M, Tanaka N, Nakazato R, Asano T, Terashima M, Takashima H, Amano T, Sobue Y, Matsuo H, Otake H, Kubo T, Takahata M, Akasaka T, Kido T, Mochizuki T, Yokoi H, Okonogi T, Kawasaki T, Nakao K, Sakamoto T, Yonetsu T, Kakuta T, Yamauchi Y, Bax JJ, Shaw LJ, Stone PH, Narula J. Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome. JACC Cardiovasc Imaging. 2024 Sep;17(9):1062-1076. doi: 10.1016/j.jcmg.2024.03.015. Epub 2024 May 15.

MeSH Terms

Conditions

Angina, UnstableAcute Coronary Syndrome

Condition Hierarchy (Ancestors)

Angina PectorisMyocardial IschemiaHeart DiseasesCardiovascular DiseasesVascular DiseasesChest PainPainNeurologic ManifestationsSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Bon-Kwon Koo, MD,PhD

    Seoul National University Hospital

    STUDY CHAIR

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
OTHER
Target Duration
3 Years
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

July 8, 2018

First Posted

July 19, 2018

Study Start

July 9, 2018

Primary Completion

September 30, 2022

Study Completion

December 31, 2022

Last Updated

August 23, 2022

Record last verified: 2022-08

Locations