Application of CTA-based Radiomic Phenotyping of PCAT and Fluid Dynamics in Atherosclerotic Disease (APPLE)

NCT ID: NCT06498830

Last Updated: 2024-07-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

2000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-10-17

Study Completion Date

2024-12-30

Brief Summary

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This study (APPLE study) intends to retrospectively enroll more than 2000 patients who who underwent ≥2 coronary computed tomography angiography (CCTA) with ≥3 months interval from 11 hospitals in more than 4 provinces in China.

Detailed Description

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A multicenter, retrospective, observational trial will be conducted (APPLE study). To investigate whether a combined model constructed on the basis of pericoronary adipose tissue (PCAT) radiomics, fluid dynamics and clinical risk factors can predict the formation of atherosclerotic plaque. It will be carried out in 11 hospitals in 4 provinces in China. The Boruta algorithm and correlation proof clustering analysis were used to screen the imaging histological features, and a random forest model was used to construct an imaging histological prediction model for PCAT and fluid dynamics and to construct radiomics' score. To investigate the incremental value of the radiomics' score beyond the traditional prediction model, the radiomics' score was combined with the traditional logistic regression prediction model. Receiver operating characteristic (ROC) curve analysis with integrated discrimination improvement (IDI) and category net reclassification index (NRI) were used to compare the performance of the predictive models. A ML-prediction model incorporates FAI, fluid dynamics and patient clinical characteristics to identify high-risk patients in advance for patients receiving routine CCTA and guide the more precise use of preventative treatments, including anti-inflammatory therapies.

Conditions

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Computed Tomography Angiography Inflammation of Adipose Tissue CFD

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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The formation of any atherosclerotic plaque on the follow-up CCTA

No interventions assigned to this group

The regression of any atherosclerotic plaque on the follow-up CCTA

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* patients underwent CCTAs at least twice;
* patients without any concomitant obstructive CAD, or any concomitant atherosclerotic lesions in the LAD on the baseline CCTA;
* patients without previous percutaneous coronary intervention or coronary artery bypass grafting, implanted cardiac devices, and anomalous coronary arteries as evidenced by conventional CCTA.

Exclusion Criteria

* image quality of CCTA was inadequate for either MB morphological or FAI or CFD analysis in either cardiac phase;
* patients received other tube voltages except for 100 kVp and 120 kVp;
* the interscan interval between serial CCTAs\< 3 months;
* missing CCTA data.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Jinling Hospital, China

OTHER

Sponsor Role lead

Responsible Party

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Zhang longjiang,MD

Head of Radiology

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Longjiang Zhang, MD

Role: STUDY_CHAIR

Jinling Hospital, Medical School of Nanjing University, Nanjing, China

Locations

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Research Institute Of Medical Imaging Jinling Hospital

Nanjing, Jiangsu, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Longjiang Zhang, MD

Role: CONTACT

+8613405833176 ext. +86

Facility Contacts

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Longjiang Zhang, MD

Role: primary

+8613405833176

Other Identifiers

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2023DZKY-124-01

Identifier Type: -

Identifier Source: org_study_id

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