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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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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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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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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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AI-based modality-agnostic classification system for vascular calcifications.

Mehdi Ramezanpour1, Anne M Robertson2, Yasutaka Tobe1

  • 1Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA, USA.

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|October 10, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel pipeline to classify diverse vascular calcification phenotypes, aiding in understanding their role in cardiovascular events and improving risk assessment.

Keywords:
3D reconstructionAtherosclerosisCalcification phenotypeDeep learningImage segmentationMicrocalcification

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Area of Science:

  • Cardiovascular Research
  • Medical Imaging
  • Biomarker Discovery

Background:

  • Vascular calcification is linked to major adverse cardiovascular events like heart attacks and strokes.
  • The heterogeneous phenotypes of calcifications and their impact on tissue stability are not well understood.
  • Accurate classification of calcification phenotypes is crucial for assessing their role in tissue stability.

Purpose of the Study:

  • To introduce a new classification system for phenotyping vascular calcification.
  • To develop a semi-automatic, non-destructive imaging pipeline for distinguishing calcification phenotypes.
  • To enable a common language for communicating findings on calcification phenotypes across studies.

Main Methods:

  • A semi-automatic deep learning segmentation framework for micro-CT image analysis.
  • In-house 3D reconstruction tools for creating detailed models of calcifications.
  • Unsupervised clustering techniques for classifying diverse calcification phenotypes based on size, morphology, spatial, and environmental characteristics.

Main Results:

  • The pipeline successfully distinguished diverse vascular calcification phenotypes in micro-CT images.
  • The deep learning segmentation achieved high accuracy for sample (0.998±0.003) and lipid pool (0.961±0.031) segmentation.
  • The classification system, based on 3D models, is applicable to various 3D imaging techniques like micro-CT and micro-OCT.

Conclusions:

  • The developed pipeline and classification system offer a standardized approach to phenotyping vascular calcifications.
  • This facilitates a better understanding of how different calcification phenotypes affect tissue stability.
  • The findings may lead to the identification of novel biomarkers for improved cardiovascular risk assessment.