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Not yet recruitingNCT07886996AI-CT-PLAQUEUpdated Oct 21, 2026

AI-Based CT Analysis of Coronary Plaque Evolution

An observational study in Coronary Artery Disease, sponsored by Zhejiang Hospital. Not yet recruiting at 5 sites in China. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-10-21.

Sponsored by Zhejiang Hospital · Observational

Updated Oct 21, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
326
Ages
18 Years and older
Sex
All
01

Study summary

This retrospective, multicenter, observational study will evaluate an artificial intelligence-based system for quantitative assessment and risk stratification of coronary atherosclerotic plaque. Adults with coronary plaque on baseline coronary CT angiography (CCTA) and at least one follow-up CCTA obtained between January 1, 2020 and December 31, 2025 will be identified from participating centers. The system will integrate clinical factors, CCTA plaque morphology and burden, functional measures, hemodynamic parameters, and biomechanical features using baseline data. Two independent readers will assess conventional CCTA findings, including CAD-RADS and adverse plaque characteristics, while remaining blinded to system outputs. The primary outcome is patient-level definite progression of non-calcified plaque, defined by annualized change in non-calcified plaque percent atheroma volume exceeding the reproducibility-based minimum detectable change (MDC95). Model discrimination will be assessed by area under the receiver operating characteristic curve and compared with conventional CCTA models. Approximately 326 participants are planned.

Read the detailed description

The study uses existing de-identified clinical, laboratory, and serial CCTA data. Eligible participants are adults with coronary plaque, no prior percutaneous coronary intervention or coronary artery bypass grafting, baseline and follow-up CCTA separated by at least 6 months (preferably 12 to 36 months), longitudinally matchable target segments, and adequate image quality. The baseline CCTA will be used for model prediction; the follow-up CCTA will be used for outcome ascertainment. The primary endpoint is definite patient-level non-calcified plaque progression versus non-progression. Annualized change in non-calcified plaque percent atheroma volume will be compared with an MDC95 determined in a 30-50 participant repeatability substudy. Definite progression is greater than +MDC95, stability is within +/- MDC95, and definite reduction/regression is less than -MDC95. Secondary analyses will evaluate prediction of definite plaque reduction/regression, sensitivity, specificity, positive and negative predictive values, F1 score, calibration, Brier score, decision-curve analysis, and plaque-level analyses using generalized estimating equations or mixed-effects models to account for clustering within participants. Analyses will include patient-level cross-validation, center-level validation where feasible, subgroup analyses, and prespecified sensitivity analyses by follow-up interval, scanner/reconstruction protocol, and image quality. Data will be de-identified, encrypted, access-controlled, and analyzed without additional participant procedures or costs.

02

Conditions studied

  • Coronary Artery Disease

Keywords

  • coronary plaque
  • coronary CT angiography
  • artificial intelligence
  • non-calcified plaque
  • plaque progression
03

In context

Coronary Artery Disease

5,676 studies on the registry are indexed under Coronary Artery Disease; 958 are open to participants now.

This study's planned enrollment of 326 is close to the median of 335 across 1,978 observational studies indexed under Coronary Artery Disease.

Browse Coronary Artery Disease studies →

Lead sponsor

Zhejiang Hospital is the lead sponsor of 9 studies on the registry; 6 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adults with coronary plaque identified from existing clinical records and serial CCTA examinations at participating hospitals. The study uses retrospective, de-identified data and does not require additional examinations, interventions, or costs for participants.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Adults aged 18 years or older.
  2. Baseline CCTA demonstrates coronary plaque in the LAD, LCX, RCA, or a major branch with reference diameter >=2.0 mm.
  3. No prior percutaneous coronary intervention or coronary artery bypass grafting.
  4. Baseline CCTA and at least one follow-up CCTA are available, with an interval of at least 6 months, preferably 12-36 months.
  5. Target segments can be longitudinally matched and non-calcified plaque volume and total vessel volume can be quantified.
  6. Image quality meets the core laboratory requirements.

Exclusion criteria

Exclusion Criteria:

  1. Severe comorbid disease, active malignancy, acute or chronic inflammation, connective tissue or autoimmune disease, or life expectancy less than 1 year.
  2. Pregnancy.
  3. Prior PCI stent implantation or CABG.
  4. In-stent lesions, complete occlusion, thrombus, left main or ostial lesions, or other lesions preventing the planned hemodynamic or biomechanical analyses.
  5. Image quality or key data judged inadequate by the core laboratory.
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Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
326 participants (estimated)
Patient registry
No

Groups and cohorts

  • Coronary Plaque Cohort

    Adults with coronary plaque identified on baseline CCTA and at least one follow-up CCTA. This observational cohort is analyzed using de-identified clinical and imaging data.

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What researchers measure

Primary outcomes

  1. Patient-level definite non-calcified plaque progression discrimination (AUC)

    Area under the receiver operating characteristic curve (AUC) with 95% confidence interval for the full-system model predicting definite patient-level progression of non-calcified plaque. Definite progression is annualized change in non-calcified plaque percent atheroma volume greater than +MDC95; non-progression includes stability and definite reduction/regression. AUC will be compared with conventional CCTA models using the DeLong test.

    Time frame: After completion of follow-up CCTA assessment and database lock (approximately 12-36 months after baseline CCTA).

Secondary outcomes

  1. Prediction of definite non-calcified plaque reduction/regression (AUC and classification metrics)

    AUC with 95% confidence interval for predicting definite plaque reduction/regression, with sensitivity, specificity, positive predictive value, negative predictive value, and F1 score.

    Time frame: After completion of follow-up CCTA assessment and database lock (approximately 12-36 months after baseline CCTA).

  2. Model calibration (Brier score)

    The prespecified quantitative outcome is the Brier score for the full-system and conventional CCTA models, with calibration curves and the Hosmer-Lemeshow test reported as supporting calibration assessments. Prespecified subgroup and sensitivity analyses will assess robustness.

    Time frame: After completion of follow-up CCTA assessment and database lock (approximately 12-36 months after baseline CCTA).

  3. Clinical net benefit (decision-curve analysis)

    Clinical net benefit of the full-system and conventional CCTA models will be evaluated using decision-curve analysis across prespecified risk-threshold probabilities. Results will be reported as net benefit at each threshold; prespecified subgroup and sensitivity analyses will assess robustness.

    Time frame: After completion of follow-up CCTA assessment and database lock (approximately 12-36 months after baseline CCTA).

07

Study locations

5 sites
  • The First Affiliated Hospital, Zhejiang University School of Medicine
    Hangzhou, Zhejiang 310003, China
  • Affiliated Hospital of Hangzhou Normal University
    Hangzhou, Zhejiang 310015, China
  • Sir Run Run Shaw Hospital, Zhejiang University School of Medicine
    Hangzhou, Zhejiang 310016, China
  • The Second People's Hospital of Yuhuan City
    Yuhuan, Zhejiang 317100, China
  • Zhoushan Hospital, Zhejiang Province
    Zhoushan, Zhejiang 316000, China
08

References and documents

Publications

  • Symons R, Morris JZ, Wu CO, Pourmorteza A, Ahlman MA, Lima JA, Chen MY, Mallek M, Sandfort V, Bluemke DA. Coronary CT Angiography: Variability of CT Scanners and Readers in Measurement of Plaque Volume. Radiology. 2016 Dec;281(3):737-748. doi: 10.1148/radiol.2016161670. Epub 2016 Sep 16. PubMed 27636027 ↗
  • Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res. 2005 Feb;19(1):231-40. doi: 10.1519/15184.1. PubMed 15705040 ↗
  • Won KB, Lee BK, Park HB, Heo R, Lee SE, Rizvi A, Lin FY, Kumar A, Hadamitzky M, Kim YJ, Sung JM, Conte E, Andreini D, Pontone G, Budoff MJ, Gottlieb I, Chun EJ, Cademartiri F, Maffei E, Marques H, de Araujo Goncalves P, Leipsic JA, Shin S, Choi JH, Virmani R, Samady H, Chinnaiyan K, Raff GL, Stone PH, Berman DS, Narula J, Shaw LJ, Bax JJ, Min JK, Chang HJ. Quantitative assessment of coronary plaque volume change related to triglyceride glucose index: The Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. Cardiovasc Diabetol. 2020 Jul 18;19(1):113. doi: 10.1186/s12933-020-01081-w. PubMed 32682451 ↗
  • Han D, Berman DS, Miller RJH, Andreini D, Budoff MJ, Cademartiri F, Chinnaiyan K, Choi JH, Conte E, Marques H, de Araujo Goncalves P, Gottlieb I, Hadamitzky M, Leipsic J, Maffei E, Pontone G, Shin S, Kim YJ, Lee BK, Chun EJ, Sung JM, Lee SE, Virmani R, Samady H, Stone P, Narula J, Bax JJ, Shaw LJ, Lin FY, Min JK, Chang HJ. Association of Cardiovascular Disease Risk Factor Burden With Progression of Coronary Atherosclerosis Assessed by Serial Coronary Computed Tomographic Angiography. JAMA Netw Open. 2020 Jul 1;3(7):e2011444. doi: 10.1001/jamanetworkopen.2020.11444. PubMed 32706382 ↗

Individual participant data

Plan to share: No

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Oct 21, 2026
Show all 1 update
  1. Oct 21, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07886996
Lead sponsor
Zhejiang Hospital
Responsible party
Sponsor
First posted
Oct 21, 2026
Start date
Oct 2026 (estimated)
Primary completion
Dec 31, 2028 (estimated)
Completion
Dec 31, 2028 (estimated)
Last update
Oct 21, 2026

Study contacts

Changqing Du
Contact
ddcq82@126.com
0571-81595231

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.

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