Search research articles

Related Concept Videos

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Intervertebral Disc Elastography to Relate Shear Modulus and Relaxometry in Compression and Bending.

Bioengineering (Basel, Switzerland)·2026

Same author

Morphological features of the human lingual mucosa assessed by line-field confocal optical coherence tomography.

Folia morphologica·2026

Same author

Deciphering the molecular landscape of aortic aging: a meta-analysis of bulk RNA sequencing studies in mice.

GeroScience·2026

Same author

Influence of breathing-induced motion on hemodynamics following fEVAR with renal stenting.

Annals of biomedical engineering·2026

Same author

Early multimodal behavioral cues in autism: a micro-analytical exploration of actions, gestures and speech during naturalistic parent-child interactions.

International journal of clinical and health psychology : IJCHP·2026

Same author

Low Responsiveness of Macroencapsulated Human Islets Towards Glucose Challenge Despite Excellent Survival in Silicone-Based Oxygen-Delivering Devices.

Bioengineering (Basel, Switzerland)·2026

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 4, 2026

Quantitative Micro-CT Analysis of Aortopathy in a Mouse Model of β-aminopropionitrile-induced Aortic Aneurysm and Dissection

Quantitative Micro-CT Analysis of Aortopathy in a Mouse Model of β-aminopropionitrile-induced Aortic Aneurysm and Dissection

Published on: July 16, 2018

A preliminary ex vivo diffusion tensor imaging study of distinct aortic morphologies.

B Tornifoglio^1,2, S T Robinson^3,4, R E Levey⁵

¹Trinity Centre for Biomedical Engineering, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Journal of Anatomy

|January 26, 2025

Summary

Diffusion tensor imaging (DTI) reveals microstructural differences in aortic tissue, offering new insights for diagnosing aortic pathologies like aneurysms and dissections. This non-invasive method shows potential for improved clinical decision-making.

Keywords:

aneurysm aortic disease diffusion tensor imaging dissection magnetic resonance imaging

More Related Videos

Ultrasound Imaging of the Thoracic and Abdominal Aorta in Mice to Determine Aneurysm Dimensions

Ultrasound Imaging of the Thoracic and Abdominal Aorta in Mice to Determine Aneurysm Dimensions

Published on: March 8, 2019

Three-Dimensional Imaging of Aortic Tissues in Atherosclerosis

Three-Dimensional Imaging of Aortic Tissues in Atherosclerosis

Published on: October 25, 2024

Related Experiment Videos

Last Updated: May 4, 2026

Quantitative Micro-CT Analysis of Aortopathy in a Mouse Model of β-aminopropionitrile-induced Aortic Aneurysm and Dissection

Quantitative Micro-CT Analysis of Aortopathy in a Mouse Model of β-aminopropionitrile-induced Aortic Aneurysm and Dissection

Published on: July 16, 2018

Ultrasound Imaging of the Thoracic and Abdominal Aorta in Mice to Determine Aneurysm Dimensions

Ultrasound Imaging of the Thoracic and Abdominal Aorta in Mice to Determine Aneurysm Dimensions

Published on: March 8, 2019

Three-Dimensional Imaging of Aortic Tissues in Atherosclerosis

Three-Dimensional Imaging of Aortic Tissues in Atherosclerosis

Published on: October 25, 2024

Area of Science:

Biomedical Imaging
Cardiovascular Research
Medical Physics

Background:

Aortic pathologies like aneurysms and dissections involve microstructural changes in the aortic wall.
Current clinical decisions rely on geometric features (e.g., aortic diameter) due to limitations in imaging microstructural information.
Non-invasive imaging methods are needed to assess aortic tissue microstructure for better clinical insights.

Purpose of the Study:

To investigate diffusion tensor imaging (DTI) as a non-invasive method for assessing aortic tissue microstructure.
To explore DTI's capability in differentiating between healthy, aneurysmal, and dissected aortic tissue.
To establish proof-of-concept for DTI's potential in clinical applications for aortic diseases.

Main Methods:

Diffusion tensor imaging (DTI) was applied to ex vivo samples of healthy, aneurysmal, and chronic type B dissection aortae.
Key DTI-derived metrics including fractional anisotropy, mean diffusivity, helical angle, and tractography were analyzed.
Histological characterization was used to validate DTI findings.

Main Results:

Distinct differences in fractional anisotropy were observed: healthy (0.24 ± 0.008), aneurysmal (0.19 ± 0.002), and dissected (0.13 ± 0.006) aortae.
A significantly larger variation in the helical angle was found in dissected aortae (39.28 ± 11.93°) compared to healthy aortae (26.12 ± 4.60°).
DTI metrics showed sensitivity to microstructural alterations associated with aortic pathologies.

Conclusions:

Diffusion tensor imaging (DTI) is sensitive to pathological changes in aortic tissue microstructure.
DTI-derived metrics can differentiate between healthy, aneurysmal, and dissected aortic tissues.
This methodology holds promise for providing enhanced clinical insights and improving diagnostic capabilities for aortic diseases.