Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Variability: Analysis01:11

Variability: Analysis

522
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
522
Random Variables01:09

Random Variables

17.9K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K
Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

257
An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
257
Variables Affecting Phosphorescence and Fluorescence01:26

Variables Affecting Phosphorescence and Fluorescence

1.5K
Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
1.5K
Cell Size01:22

Cell Size

129.2K
Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
Surface Area
Cells can take in nutrients and water via diffusion through the plasma membrane itself or through specific channels in the membrane. The area of the membrane surrounding...
129.2K
Work and Energy for Variable Forces01:10

Work and Energy for Variable Forces

5.8K
When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Prediction of recurrence in patients with mass-forming intrahepatic cholangiocarcinoma using computed tomography-derived features correlated with histo-pathologic factors.

European journal of radiology·2026
Same author

Effect of Interaural Angular Insertion Depth Mismatch on Sound Localization in Adolescent Bilateral Cochlear Implant Users.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology·2026
Same author

Contrast-enhanced CT-Nephrotoxic or not? A critical review of propensity-score-adjusted studies.

Journal of internal medicine·2026
Same author

A methodology for assessing the effect of localizer orientation on the consistency of tube current modulation in CT.

Radiation protection dosimetry·2026
Same author

Pulmonary Nodule Prevalence at CT in Middle-Aged Participants from the Swedish CArdioPulmonary bioImage Study (SCAPIS).

Radiology·2026
Same author

Improved risk stratification in patients with colorectal liver metastases by incorporating volumetric body composition analysis.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology·2026

Related Experiment Video

Updated: Feb 7, 2026

Full-root Aortic Valve Replacement by Stentless Aortic Xenografts in Patients with Small Aortic Roots
12:17

Full-root Aortic Valve Replacement by Stentless Aortic Xenografts in Patients with Small Aortic Roots

Published on: May 21, 2017

11.9K

Variable size of aortic subvalvular pseudoaneurysm.

Anders Svensson1,2, Kerstin Cederlund1,3, Torkel B Brismar1,2

  • 1Department of Clinical Science, Intervention and Technology at Karolinska Institutet, Division of Medical Imaging and Technology, Stockholm, Sweden.

Acta Radiologica Open
|July 18, 2018
PubMed
Summary

Aortic subvalvular pseudoaneurysms (PSA) change size with the heart cycle due to blood flow stress. This case study highlights dynamic size variations in PSA during cardiac imaging.

Keywords:
Ascending aortacardiac CTApseudoaneurysm

More Related Videos

Aortic Ring Assay
09:12

Aortic Ring Assay

Published on: November 24, 2009

32.1K
Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement
14:14

Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement

Published on: December 11, 2017

14.7K

Related Experiment Videos

Last Updated: Feb 7, 2026

Full-root Aortic Valve Replacement by Stentless Aortic Xenografts in Patients with Small Aortic Roots
12:17

Full-root Aortic Valve Replacement by Stentless Aortic Xenografts in Patients with Small Aortic Roots

Published on: May 21, 2017

11.9K
Aortic Ring Assay
09:12

Aortic Ring Assay

Published on: November 24, 2009

32.1K
Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement
14:14

Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement

Published on: December 11, 2017

14.7K

Area of Science:

  • Cardiovascular Imaging
  • Cardiac Surgery
  • Medical Diagnostics

Background:

  • Aortic subvalvular pseudoaneurysms (PSA) are rare but serious conditions.
  • These lesions are exposed to significant hemodynamic forces, including strain and shear stress.
  • Understanding their dynamic behavior is crucial for accurate diagnosis and management.

Observation:

  • A specific case of aortic subvalvular PSA was analyzed.
  • The study utilized retrospective ECG-triggered cardiac computed tomography angiography.
  • Dynamic changes in PSA dimensions were observed throughout the cardiac cycle.

Findings:

  • The aortic subvalvular PSA exhibited significant size variation between systole and diastole.
  • This size fluctuation is attributed to the pulsatile nature of blood flow and associated stresses.
  • Cardiac CT angiography effectively visualized these dynamic changes.

Implications:

  • The findings emphasize the importance of considering the cardiac cycle when evaluating aortic subvalvular PSA.
  • Dynamic imaging can provide critical information for surgical planning and risk assessment.
  • This case contributes to the understanding of PSA pathophysiology and imaging characteristics.