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Related Concept Videos

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

Imaging Studies for Cardiovascular System III: X-Ray

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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...
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Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
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Related Experiment Video

Updated: Jul 2, 2025

Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
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Radiomics from Cardiovascular MR Cine Images for Identifying Patients with Hypertrophic Cardiomyopathy at High Risk

Hongbo Zhang1, Lei Zhao1, Haoru Wang1

  • 1From the Department of Interventional Diagnosis and Treatment (H.Z., K.H., C.Z., X.M.) and Department of Radiology (H.Z., L.Z., Y.Y., K.H.), Beijing Anzhen Hospital, Capital Medical University, 2nd Anzhen Road, Chaoyang District, Beijing 100020, China; and Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China (H.W.).

Radiology. Cardiothoracic Imaging
|February 22, 2024
PubMed
Summary

A new model combining radiomics from cardiac MRI with clinical data accurately predicts heart failure (HF) risk in hypertrophic cardiomyopathy (HCM) patients. This tool aids in identifying high-risk individuals for timely intervention.

Keywords:
CardiomyopathiesCardiovascular MRIHeart FailureHypertrophic CardiomyopathyOutcomes AnalysisRadiomics

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Area of Science:

  • Cardiovascular Imaging and Radiology
  • Biomedical Data Science
  • Cardiology and Cardiovascular Diseases

Background:

  • Hypertrophic cardiomyopathy (HCM) is a primary cause of heart failure (HF) in affected patients.
  • Accurate risk stratification for HF in HCM is crucial for timely clinical management and improved outcomes.
  • Traditional risk assessment models may not fully capture the complexity of HCM progression to HF.

Purpose of the Study:

  • To develop and validate a predictive model integrating radiomics features from cardiac MRI cine images.
  • To combine radiomics with clinical and standard cardiac MRI parameters for enhanced identification of high-risk HCM patients.
  • To assess the model's performance in predicting heart failure events in patients with hypertrophic cardiomyopathy.

Main Methods:

  • Retrospective analysis of 516 hypertrophic cardiomyopathy patients undergoing cardiac MRI.
  • Extraction of radiomics features from cardiac cine images and calculation of radiomics scores using LASSO Cox regression.
  • Development of a combined prediction model incorporating significant radiomics scores, clinical, and standard cardiac MRI predictors.

Main Results:

  • The radiomics score emerged as the strongest independent predictor of heart failure events (HR, 10.25; P < .001).
  • The combined model demonstrated high predictive accuracy, with 1- and 3-year AUCs of 0.81/0.80 (training) and 0.82/0.77 (validation).
  • High-risk stratification using the model indicated a >6-fold increased risk of heart failure events.

Conclusions:

  • A combined model integrating radiomics features with clinical and standard cardiac MRI parameters accurately identifies patients with hypertrophic cardiomyopathy at high risk for heart failure.
  • This approach offers a promising tool for precise risk stratification in hypertrophic cardiomyopathy, potentially guiding therapeutic strategies.
  • Radiomics analysis of cardiac MRI provides novel insights into disease progression and HF risk in hypertrophic cardiomyopathy.