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Related Concept Videos

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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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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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

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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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Atherosclerosis II: Clinical Manifestations and Diagnostic Tests01:27

Atherosclerosis II: Clinical Manifestations and Diagnostic Tests

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Atherosclerosis is a progressive disorder that leads to the thickening and narrowing of arterial walls due to plaque buildup. This condition can cause various symptoms depending on the arteries affected:Coronary Artery Disease (CAD): This condition affects the coronary arteries and may lead to chest pain (angina), shortness of breath (dyspnea), heart attacks, and other heart disease symptoms.Cerebrovascular Disease: This affects blood flow to the brain, causing transient ischemic attacks (TIAs)...
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Aneurysm II: Clinical Manifestations and Diagnostic Studies01:21

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Thoracic, aortic arch and abdominal aneurysms are significant vascular conditions that can present with various clinical manifestations and lead to serious complications. Understanding these manifestations and the appropriate diagnostic studies is essential for effective management and treatment.Thoracic Aortic AneurysmsThoracic aortic aneurysms often remain asymptomatic until they reach a size that impinges on adjacent structures. They typically cause deep, diffuse chest pain that radiates to...
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Aortic Regurgitation II: Clinical Features and Diagnostic Tests01:22

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Aortic valve regurgitation (AR) occurs when the aortic valve fails to close properly, allowing blood to flow backward from the aorta into the left ventricle. This backflow can result in two distinct clinical presentations: acute and chronic AR, each characterized by its own set of symptoms and physical findings.Acute Aortic RegurgitationAcute AR presents with a sudden onset of severe symptoms. Patients typically experience profound dyspnea (shortness of breath), chest pain, and signs of left...
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Imaging Studies for Cardiovascular System IV: CMRI01:21

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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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Related Experiment Video

Updated: Sep 11, 2025

Three-Dimensional Imaging of Aortic Tissues in Atherosclerosis
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Aortic atherosclerosis evaluation using deep learning based on non-contrast CT: A retrospective multi-center study.

Mingliang Yang1, Jinhao Lyu2, Yongqin Xiong2

  • 1School of Medical Technology, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing 100081, China.

Iscience
|August 13, 2025
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Summary

A new deep learning system, Aortic-AAE, accurately detects and grades aortic atherosclerosis using non-contrast CT scans. This automated approach improves diagnostic accuracy for cardiovascular disease screening.

Keywords:
Artificial intelligenceCardiovascular medicine

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Cardiovascular Disease

Background:

  • Non-contrast CT (NCCT) shows promise for atherosclerosis screening but has limitations in aortic assessment.
  • Accurate detection and grading of aortic atherosclerosis are crucial for cardiovascular risk stratification.

Purpose of the Study:

  • To develop and validate Aortic-AAE, an automated deep learning system for detecting and grading aortic atherosclerosis from NCCT scans.
  • To enhance the clinical utility of NCCT for large-scale atherosclerosis screening.

Main Methods:

  • Aortic-AAE utilizes a cascaded attention mechanism within the nnU-Net framework for enhanced feature learning.
  • Integrated preprocessing and post-processing steps ensure robustness across multi-center data.
  • The system was trained on 435 NCCT scans and validated on 388 independent cases.

Main Results:

  • Aortic-AAE achieved 81.12% accuracy in aortic stenosis classification.
  • The system demonstrated 92.37% accuracy in Agatston scoring of calcified plaques.
  • Performance surpassed five state-of-the-art models.

Conclusions:

  • Deep learning, specifically Aortic-AAE, enables accurate detection and grading of aortic atherosclerosis from NCCT.
  • This technology supports improved diagnostic decisions and clinical workflows for cardiovascular disease management.