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Related Concept Videos

Imaging Studies VII: Vascular Imaging01:19

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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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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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Updated: Sep 10, 2025

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Predicting Stroke Etiology with Radiomics: A Retrospective Study.

Jacobo Porto-Álvarez1,2, Antonio Jesús Mosqueira Martínez1,2, Javier Martínez Fernández1,2

  • 1Department of Radiology, Hospital Clínico Universitario de Santiago de Compostela, 15706 Santiago de Compostela, Spain.

Medical Sciences (Basel, Switzerland)
|August 22, 2025
PubMed
Summary
This summary is machine-generated.

Radiomics analysis of non-contrast computed tomography scans can differentiate between cardioembolic and atherothrombotic thrombi in acute ischemic stroke (AIS). This imaging technique shows promise for determining stroke etiology.

Keywords:
AISacute ischemic strokeartificial intelligenceclotmachine learningradiomicsstroke etiologythrombus composition

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Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Thrombus composition varies by origin (atherothrombotic vs. cardioembolic) but is often overlooked in acute ischemic stroke (AIS) etiology determination.
  • Radiomics offers quantitative imaging data potentially reflecting thrombus composition.

Purpose of the Study:

  • To predict cardioembolic versus atherothrombotic thrombi using radiomic features (RFs) from non-contrast computed tomography (NCCT) brain scans.
  • To assess the efficacy of radiomics in classifying stroke etiology.

Main Methods:

  • Extraction of 845 radiomic features from NCCT scans of 41 patients.
  • Development of a predictive model to classify thrombus origin.
  • Comparison of model classification with TOAST criteria.

Main Results:

  • Ten radiomic features (1 shape, 9 texture) showed significant correlation with thrombus origin.
  • The radiomics model achieved an AUC of 0.842 and accuracy of 0.902 for classifying stroke etiology (p < 0.001).

Conclusions:

  • Radiomics applied to NCCT scans can effectively differentiate between cardioembolic and atherothrombotic origins of AIS.
  • This approach aids in determining stroke etiology, potentially improving patient management.