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Related Concept Videos

Aortic Regurgitation II: Clinical Features and Diagnostic Tests01:22

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

37
Aortic valve regurgitation (AR) occurs when the aortic valve fails to close properly, allowing blood to flow backward from the aorta into the left ventricle. This backflow can result in two distinct clinical presentations: acute and chronic AR, each characterized by its own set of symptoms and physical findings.Acute Aortic RegurgitationAcute AR presents with a sudden onset of severe symptoms. Patients typically experience profound dyspnea (shortness of breath), chest pain, and signs of left...
37

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Related Experiment Video

Updated: Aug 4, 2025

Morphological and Functional Assessment of the Right Ventricle Using 3D Echocardiography
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Assessing Complex Left Ventricular Adaptations in Aortic Stenosis Using Personalized 3D + time Cardiac MRI Modeling.

Shoon Hui Chuah1, Nor Ashikin Md Sari2, Li Kuo Tan3,4

  • 1Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.

Journal of Cardiovascular Translational Research
|April 6, 2023
PubMed
Summary
This summary is machine-generated.

A novel 3D+time modeling technique reveals personalized left ventricular (LV) remodeling in aortic stenosis (AS) patients. This method aids in understanding adaptive and maladaptive responses, improving treatment decisions and surgical planning for AS.

Keywords:
3D + time modelsAortic stenosisComorbiditiesLV remodelingLeft ventricle adaptationMRI

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Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Aortic stenosis (AS) significantly impacts left ventricular (LV) adaptations.
  • Comorbidities like hypertension and ischemic heart disease further complicate LV response in AS patients.
  • Accurate assessment of LV remodeling is crucial for effective treatment and surgical planning.

Purpose of the Study:

  • To assess the feasibility of a motion-corrected personalized 3D+time LV modeling technique.
  • To evaluate adaptive and maladaptive LV responses in AS patients using this novel technique.
  • To aid in treatment decision-making for AS patients.

Main Methods:

  • A motion-corrected personalized 3D+time LV modeling technique was developed and applied.
  • 22 AS patients and 10 healthy subjects were analyzed.
  • LV remodeling patterns, wall thickening, synchrony, and systolic function were assessed.

Main Results:

  • Individualized LV remodeling patterns were observed in AS patients, associated with comorbidities and fibrosis.
  • AS patients with hypertension showed better wall thickening and synchrony than those with AS alone.
  • Ischemic heart disease in AS patients led to impaired wall thickening, synchrony, and systolic function.
  • The 3D+time technique showed high correlation with echocardiography and clinical MRI measurements (r: 0.70-0.95; p < 0.01).
  • Subtle and subclinical LV dysfunction was detected by the proposed technique.

Conclusions:

  • The motion-corrected personalized 3D+time LV modeling is a feasible technique for evaluating AS.
  • This method provides a personalized assessment of LV adaptive and maladaptive responses.
  • The technique offers a superior approach for AS patient evaluation, surgical planning, and follow-up.