Artificial intelligence–powered insights into high-risk, non-obstructive coronary atherosclerosis: a case report

Author:

Provera Andrea1,Andreini Daniele12,Petersen Kersten3,Gallinoro Emanuele2,Conte Edoardo2ORCID

Affiliation:

1. Department of Clinical and Biomedical Sciences, University of Milan , Milan , Italy

2. Department of Clinical Cardiology and Cardiovascular Imaging, IRCCS Ospedale Galeazzi Sant’Ambrogio , Via Cristina Belgioioso 173, Milan 20157 , Italy

3. HeartFlow, Inc. , Redwood City, CA , USA

Abstract

Abstract Background Advanced coronary plaque analysis by cardiac computed tomography (CT) has recently emerged as a promising technique for better prognostic stratification. However, this evaluation application in clinical practice is still uncertain. Case summary In the present case, we described the clinical picture of a 44-year-old tennis player with ectopic ventricular beats in which cardiac CT enabled the identification of a non-obstructive but high-risk plaque on proximal left anterior descendent artery. The application of artificial intelligence (AI)-enhanced software enabled to better stratify the patients’ risk. The present case describes how early identification of non-obstructive but high-risk coronary plaque evaluated by cardiac CT using AI-enhanced software enabled accurate and personalized risk assessment. Discussion The main clinical message of this case report is that advanced plaque analysis by cardiac CT, especially when performed with AI-based software, may provide important prognostic information leading to a personalized preventive approach. Moreover, AI-based software may contribute to promote a routine evaluation of these important data already included in traditional cardiac CT.

Publisher

Oxford University Press (OUP)

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