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Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
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  3. Computed Tomography-based Body Composition Assessment For Preoperative Cardiovascular Risk Prediction: A Prospective Cohort Study.
  1. Home
  3. Computed Tomography-based Body Composition Assessment For Preoperative Cardiovascular Risk Prediction: A Prospective Cohort Study.

Related Experiment Video

Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
06:48

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Published on: June 7, 2024

Computed Tomography-Based Body Composition Assessment for Preoperative Cardiovascular Risk Prediction: A Prospective

Bing-Cheng Zhao1,2,3,4, Jing Zhang1,2,5, Shao-Hui Lei1,2

  • 1Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Anesthesiology
|June 22, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

CT-derived body composition metrics, including skeletal muscle area and fat radiodensity, significantly improve prediction of postoperative cardiovascular events. These novel markers offer enhanced risk assessment beyond traditional clinical predictors for surgical patients.

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Published on: September 22, 2023

Area of Science:

  • Cardiology
  • Radiology
  • Surgical Risk Assessment

Background:

  • Current preoperative cardiovascular risk prediction methods are insufficient.
  • CT-derived body composition offers potential objective cardiometabolic health markers.
  • The predictive value of these metrics for postoperative cardiovascular events is not well-established.

Purpose of the Study:

  • To investigate the predictive value of CT-derived body composition metrics for postoperative cardiovascular events.
  • To determine if body composition metrics improve risk prediction beyond established clinical guidelines.

Main Methods:

  • Prospective, multicenter study (PREVENGE-CB cohort) including patients undergoing major noncardiac surgery.
  • Preoperative CT scans analyzed for skeletal muscle and adipose tissue area and radiodensity.
  • Logistic regression used to assess added predictive value of body composition metrics over clinical predictors.

    • Main Results:

    • 1594 patients included; 13.2% experienced primary outcome (30-day cardiovascular events).
    • Skeletal muscle area and adipose area associated with lower risk; adipose radiodensity and muscle radiodensity associated with higher risk.
    • An optimal subset of three metrics (skeletal muscle area, muscle radiodensity, subcutaneous fat radiodensity) significantly improved prediction over existing risk indices in validation cohorts.

    Conclusions:

    • CT-derived body composition metrics enhance the prediction of postoperative cardiovascular events.
    • These metrics provide valuable information beyond conventional clinical predictors.
    • Body composition analysis via CT may refine risk stratification for patients undergoing surgery.