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February 11, 20260 citations

Development and validation of a computed tomography myocardial perfusion imaging radiomic model for major adverse cardiovascular events prediction: a multicenter study.

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ZZZhiqi ZhongUniversity of Shanghai for Science and TechnologyDLDong LiTianjin Medical University General HospitalSLShengliang LiuHarbin Medical University

Key Points

  • To develop and validate a radiomic model using computed tomography myocardial perfusion imaging for predicting major adverse cardiovascular events.
  • Utilized multiparametric CT-MPI maps for feature extraction.
  • Combined radiomic features from macrovascular and microvascular assessments.
  • Compared performance of the radiomic model to conventional predictive models.
  • Radiomic model showed significantly improved prognostic performance compared to conventional models.
  • Maintained high interpretability for clinical application.
  • Effectively captured both macrovascular and microvascular perfusion features.

Abstract

The radiomic features from multiparametric CT-MPI maps simultaneously captured perfusion features associated with MACE at both macrovascular and microvascular levels. The combined model exhibited improved MACE prognostic performance compared with conventional models while maintaining high interpretability.

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Cite This Study

Zhong et al. (2026) studied this question.

synapsesocial.com/papers/698c1c65267fb587c655ed15https://doi.org/10.1093/ehjci/jeag044
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