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Purpose <p>Several semiquantitative coronary computed tomography angiography (CCTA) scores including different parameters describing stenosis degree, plaque burden and plaque features have been developed for diagnostic and prognostic purposes. However, their clinical application is still limited. The aim of the study is to assess the prognostic implication of semiquantitative coronary CCTA scores in clinical practice.</p> Material and methods <p>In this retrospective, single-center study, 6818 adults who underwent elective CCTA between 2016 and 2020 were screened. A total of 1878 patients were enrolled based on low-to-intermediate pretest risk, good image quality (Likert score ≥ 4), and ≥ 3&#xa0;years of follow-up. Clinical data were collected, and the following CCTA scores were calculated: CACS, CAD-RADS, Leiden, CT Leaman, SSS and SIS. Prognostic performance for five-point and two-point MACE composite outcomes was evaluated using survival analysis and multivariable models.</p> Results <p>Over the follow-up period, 10% (187/1878) experienced a five-point MACE and 5.4% (102/1878) a two-point MACE. All CCTA scores stratify the risk of MACE, and all CCTA scores were predictors of outcome with HR increasing as the score increases, with the highest HR in case of severe CAD-RADS (five-point MACE composite outcome: HR 16.35, 95%CI [7.5–35.61]; <i>p</i> &lt; .001 and two-point MACE composite outcome: HR 19.49, 95%CI [6.01–63.2]; <i>p</i> &lt; .001). CAD-RADS outperformed other scores in multivariable models including age, sex and cardiovascular risk factors with a C-index of 0.75 for five-point MACE and of 0.78 for two-point MACE, always <i>p</i> &lt; 0.001. High-risk features were not predictors of outcome.</p> Conclusions <p>CAD-RADS is the most effective CCTA-derived score for MACE prediction in real-world application.</p>

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Real-world insights into coronary CTA prognostication: value of semiquantitative scores

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月12日

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  • Anna Palmisano,
  • Alberto Colombo,
  • Elisa Bruno,
  • Davide Vignale,
  • Axel Bartoli,
  • Francesco Pisu,
  • Vittorio Morrone,
  • Arianna Esposito,
  • Davide Serra,
  • Gioele Gambato,
  • Gloria Marras,
  • Andrea Bettinelli,
  • Martina Filippone,
  • Raffaella Vitale,
  • Chiara Gnasso,
  • Beatrice Maria Civelli,
  • Gabriele Chiodini,
  • Carlo Tacchetti,
  • Antonio Esposito

摘要

Purpose

Several semiquantitative coronary computed tomography angiography (CCTA) scores including different parameters describing stenosis degree, plaque burden and plaque features have been developed for diagnostic and prognostic purposes. However, their clinical application is still limited. The aim of the study is to assess the prognostic implication of semiquantitative coronary CCTA scores in clinical practice.

Material and methods

In this retrospective, single-center study, 6818 adults who underwent elective CCTA between 2016 and 2020 were screened. A total of 1878 patients were enrolled based on low-to-intermediate pretest risk, good image quality (Likert score ≥ 4), and ≥ 3 years of follow-up. Clinical data were collected, and the following CCTA scores were calculated: CACS, CAD-RADS, Leiden, CT Leaman, SSS and SIS. Prognostic performance for five-point and two-point MACE composite outcomes was evaluated using survival analysis and multivariable models.

Results

Over the follow-up period, 10% (187/1878) experienced a five-point MACE and 5.4% (102/1878) a two-point MACE. All CCTA scores stratify the risk of MACE, and all CCTA scores were predictors of outcome with HR increasing as the score increases, with the highest HR in case of severe CAD-RADS (five-point MACE composite outcome: HR 16.35, 95%CI [7.5–35.61]; p < .001 and two-point MACE composite outcome: HR 19.49, 95%CI [6.01–63.2]; p < .001). CAD-RADS outperformed other scores in multivariable models including age, sex and cardiovascular risk factors with a C-index of 0.75 for five-point MACE and of 0.78 for two-point MACE, always p < 0.001. High-risk features were not predictors of outcome.

Conclusions

CAD-RADS is the most effective CCTA-derived score for MACE prediction in real-world application.