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Artificial intelligence-powered insights into high-risk, non-obstructive coronary atherosclerosis: a case report.
Provera, Andrea; Andreini, Daniele; Petersen, Kersten; Gallinoro, Emanuele; Conte, Edoardo.
Affiliation
  • Provera A; Department of Clinical and Biomedical Sciences, University of Milan, Milan, Italy.
  • Andreini D; Department of Clinical and Biomedical Sciences, University of Milan, Milan, Italy.
  • Petersen K; Department of Clinical Cardiology and Cardiovascular Imaging, IRCCS Ospedale Galeazzi Sant'Ambrogio, Via Cristina Belgioioso 173, Milan 20157, Italy.
  • Gallinoro E; HeartFlow, Inc., Redwood City, CA, USA.
  • Conte E; Department of Clinical Cardiology and Cardiovascular Imaging, IRCCS Ospedale Galeazzi Sant'Ambrogio, Via Cristina Belgioioso 173, Milan 20157, Italy.
Eur Heart J Case Rep ; 8(4): ytae172, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38651080
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Eur Heart J Case Rep Year: 2024 Document type: Article Affiliation country: Italy Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Eur Heart J Case Rep Year: 2024 Document type: Article Affiliation country: Italy Country of publication: United kingdom