Development of a MACE risk prediction model based on CCTA-derived quantitative parameters: a proof-of-concept study - Top-Institutions - MDSpire

Creation of a Risk Prediction Model for Major Adverse Cardiovascular Events Utilizing Quantitative Data from CCTA: A Proof-of-Concept Investigation

  • By

  • Tianyang Gao

  • Mingyu Zou

  • Wei Zhou

  • Yu Zhong

  • Shu Zhou

  • Sen Xu

  • Libo Zhang

  • July 21, 2026

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    General Hospital of Northern Theater Command
    General Hospital of Northern Theater Command

    Shenyang, Liaoning

    Key Differentiators

    • Cardiology

  • #2

    Framingham Heart Study
    Framingham Heart Study

    Framingham, Massachusetts

    Key Differentiators

    • Cardiology

  • #3

    UK Biobank
    UK Biobank

    Stockport, England

    Key Differentiators

    • Cardiology

  • #4

    Clinical Practice Research Datalink
    Clinical Practice Research Datalink

    London, England

    Key Differentiators

    • Cardiology

Original Source(s)

Development of a MACE risk prediction model based on CCTA-derived quantitative parameters: a proof-of-concept study

  • by Tianyang Gao, Mingyu Zou, Wei Zhou, Yu Zhong, Shu Zhou, Sen Xu, Libo Zhang

  • July 21, 2026

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