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Updated: Sep 3, 2025

Calcification of Vascular Smooth Muscle Cells and Imaging of Aortic Calcification and Inflammation
08:43

Calcification of Vascular Smooth Muscle Cells and Imaging of Aortic Calcification and Inflammation

Published on: May 31, 2016

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Calcification of the ascending aorta, left heart valves and coronaries: associated diseases and a new classification

Hady Samaha1, Najib Chalhoub2, Margherita Tabet1

  • 1Department of Cardiovascular Surgery, Hotel-Dieu de France Hospital, Beirut, Lebanon.

Future Cardiology
|July 26, 2022
PubMed

Insights

Vascular and valvular calcification topography can predict cardiovascular complications. A new classification tree (CART) uses patient data to identify risks, aiding clinical decisions.

Area of Science:

  • Cardiovascular Imaging
  • Medical Informatics
  • Radiology

Background:

  • Vascular and valvular calcification topography is crucial for predicting cardiovascular post-operative complications.
  • Existing data on the topographic distribution of these calcifications is limited.
  • Accurate prediction of complications requires detailed understanding of calcification patterns.

Purpose of the Study:

  • To identify the topographic distribution of calcifications in the ascending aorta, left heart valves, and coronary arteries.
  • To correlate calcification patterns with patient comorbidities.
  • To develop a predictive model for cardiovascular complications based on calcification topography.

Main Methods:

  • Analysis of 26 variables from 557 patients hospitalized between 2017 and 2020.
  • Evaluation of calcification topography using thoracic computed tomography (CT) scans.
  • Statistical analysis employing multivariate logistic regression and classification and regression tree (CART) methods.

Main Results:

  • Significant associations were found between several comorbidities and vascular or valvular calcification.
  • A CART model was developed to classify patients based on age, sex, Euroscore, and lipid profile.
  • The CART model provides a novel approach to stratify patients at risk.

Conclusions:

  • The developed classification model shows potential as a valuable clinical tool for risk assessment.
  • Further research is needed to refine and optimize the CART algorithm for broader clinical application.
  • Understanding calcification topography is key to improving cardiovascular post-operative care.

Keywords:
ageascending aortacalcificationclassificationdyslipidemiasex

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