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Related Concept Videos

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

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

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...
Imaging Studies for Cardiovascular System V: CT01:28

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...
Imaging Studies for Cardiovascular System III: X-Ray01:20

Imaging Studies for Cardiovascular System III: X-Ray

The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
Definition and Purpose
An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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: Jun 12, 2026

Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images
06:57

Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images

Published on: September 22, 2023

A High-Accuracy Rule-Based Algorithm for Automated Extraction of Coronary Artery Calcium Scores from Mixed-Language

Wei-Chieh Hung1,2,3, Chi-Chang Chen4, Han-Chen Lee5

  • 1Department of Family Medicine and Community Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan. sydebate921@gmail.com.

Journal of Imaging Informatics in Medicine
|June 11, 2026
PubMed
Summary
This summary is machine-generated.

A new rule-based algorithm accurately extracts Coronary Artery Calcium (CAC) scores from mixed Chinese-English radiology reports. This automated method efficiently unlocks valuable cardiovascular research data from complex multilingual clinical notes.

Keywords:
Code-switchingCoronary artery calcium scoreInformation extractionNatural language processing (NLP)Rule-based algorithm

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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

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Last Updated: Jun 12, 2026

Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images
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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

Area of Science:

  • Medical Informatics
  • Radiology
  • Cardiovascular Research

Background:

  • Coronary Artery Calcium (CAC) scoring is crucial for cardiovascular risk assessment.
  • Extracting CAC scores from unstructured radiology reports is challenging, especially in multilingual settings.
  • Existing automated methods struggle with mixed-language clinical text.

Purpose of the Study:

  • To develop and validate a rule-based algorithm for extracting CAC scores from mixed Chinese-English radiology reports.
  • To overcome limitations in automated data extraction from multilingual clinical data.
  • To facilitate large-scale cardiovascular research by unlocking historical clinical data.

Main Methods:

  • Retrospective analysis of 21,874 mixed Chinese-English cardiac CT reports (2004-2024).
  • Development of an iterative rule-based algorithm for CAC score extraction.
  • Validation against a gold standard established by manual physician review.

Main Results:

  • The algorithm achieved 99.98% accuracy and 100% coverage, correctly identifying CAC scores in 21,870 reports.
  • Processing time was 17.59 seconds, significantly faster than manual extraction (estimated 21 hours).
  • Rare errors (n=4) were due to linguistic ambiguity, not algorithmic pattern recognition failure.

Conclusions:

  • A rule-based algorithm provides accurate and efficient extraction of structured data from complex multilingual radiology reports.
  • This automated approach effectively unlocks valuable historical clinical data for research.
  • The method overcomes a significant barrier in multilingual clinical informatics and supports cardiovascular research.