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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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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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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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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 IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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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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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
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Updated: Jul 28, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans

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Automatic Ischemic Core Estimation Based on Noncontrast-Enhanced Computed Tomography.

Hidehisa Nishi1,2, Akira Ishii1, Hirofumi Tsuji1

  • 1Department of Neurosurgery, Kyoto University Graduate School of Medicine, Japan (H.N., A.I., H.T., N.S., S.M.).

Stroke
|June 2, 2023
PubMed
Summary
This summary is machine-generated.

A new deep learning model accurately segments ischemic core volume using noncontrast CT scans for acute ischemic stroke patients. This automated approach improves upon the standard Alberta Stroke Program Early CT Score for treatment decisions.

Keywords:
ischemic strokemachine learningmagnetic resonance imagingthrombectomytomography

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Area of Science:

  • Neurology
  • Radiology
  • Artificial Intelligence in Medicine

Background:

  • Assessing ischemic stroke extent is crucial for guiding thrombolysis and thrombectomy.
  • Current methods like the Alberta Stroke Program Early CT Score lack precision and inter-rater reliability.
  • Need for a reliable, automated tool for ischemic core volume estimation.

Purpose of the Study:

  • To develop and validate a fully automated machine learning model for ischemic core segmentation.
  • To utilize only noncontrast-enhanced computed tomography (CT) images for the model.
  • To improve the accuracy and consistency of ischemic core volume assessment in acute ischemic stroke.

Main Methods:

  • Retrospective multicenter study including patients with anterior circulation acute ischemic stroke.
  • Development of a deep learning (DL) model using CT data from 272 patients.
  • Validation of the DL model on a separate cohort of 106 patients, comparing with MRI-derived core volumes.

Main Results:

  • The DL model showed significant correlation with the reference standard for ischemic core volume (ICC=0.90).
  • High accuracy was maintained across different time windows (≤4.5 hours and >4.5 hours).
  • The model demonstrated excellent performance in distinguishing large ischemic cores (AUC=0.91, sensitivity=84.2%, specificity=97.7%).

Conclusions:

  • A DL-based ischemic core segmentation model using noncontrast CT is highly accurate.
  • This automated model offers a reliable alternative for assessing ischemic core volume in acute ischemic stroke.
  • Potential to enhance treatment decisions by providing consistent and precise imaging analysis.