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

Venous Thrombosis I: Introduction01:30

Venous Thrombosis I: Introduction

72
Venous thrombosis, the most common disorder of the veins, involves the formation of a thrombus or blood clot associated with vein inflammation. It can be classified as either superficial vein thrombosis or deep vein thrombosis.Superficial Vein Thrombosis: This involves the formation of a thrombus in a superficial vein, usually the greater or lesser saphenous vein. Though less severe than deep vein thrombosis (DVT), SVT can lead to complications if untreated.Deep Vein Thrombosis (DVT): This...
72
Venous Thrombosis III: Interprofessional Care01:29

Venous Thrombosis III: Interprofessional Care

55
Venous thrombosis requires effective prevention and treatment strategies to improve patient outcomes and reduce potential complications.Prevention StrategiesHealthcare providers must prioritize preventing venous thromboembolism (VTE) for all adult patients upon admission. Interventions depend on bleeding and thrombosis risk, medical history, current medications, diagnoses, planned procedures, and patient preferences. Patients on bed rest should change positions every two hours and, if not...
55
Anticoagulant Drugs: Low-Molecular-Weight Heparins01:30

Anticoagulant Drugs: Low-Molecular-Weight Heparins

1.0K
Hemostasis is a crucial process that prevents excessive blood loss from damaged blood vessels. It involves various mechanisms such as vasoconstriction, platelet adhesion and activation, and fibrin formation. The importance of each mechanism depends on the type of vessel injury. In contrast, thrombosis is the abnormal formation of a blood clot within the blood vessels, leading to potential complications if the clot obstructs blood flow. Thrombosis can be caused by increased coagulability of the...
1.0K
Clot Retraction and Fibrinolysis01:16

Clot Retraction and Fibrinolysis

7.4K
After a fibrin clot is formed, the next step is clot retraction, a vital process facilitated by platelet contractile proteins, such as actin and myosin. These proteins pull the fibrin strands closer together and condense the clot. This action reduces the size of the clot, creating a smaller, denser structure that effectively seals off the damaged vessel. Clot retraction consolidates the clot and helps with wound healing by bringing the edges of the damaged blood vessel closer together.
7.4K
Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies01:20

Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies

64
The key difference between Superficial Vein Thrombosis (SVT) and Deep Vein Thrombosis (DVT) lies in their location and severity.Clinical ManifestationsSVT typically presents with localized pain, tenderness, and redness along the course of a superficial vein, often accompanied by a palpable, cord-like structure under the skin. This condition is usually less dangerous than DVT but can be uncomfortable and may lead to complications such as cellulitis or, rarely, a clot extension into the deep...
64

You might also read

Related Articles

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

Sort by
Same author

A novel computational method to predict hypoattenuated leaflet thickening post-transcatheter aortic valve replacement using preprocedural computed tomography scans.

JTCVS structural and endovascular·2026
Same author

Noncoaxial Transcatheter Aortic Valve Deployment Creates Cusp-Specific Thrombogenic Microenvironments Through Altered Sinus Hemodynamics.

bioRxiv : the preprint server for biology·2026
Same author

Engineered probiotics that sequester arsenite in a mouse gastrointestinal system.

bioRxiv : the preprint server for biology·2026
Same author

Role of Computational Modelling in Enhancing Thermal Safety During Cardiac Ablation.

Interdisciplinary cardiovascular and thoracic surgery·2025
Same author

Evaluating Novel Annuloplasty Ring Designs in a Pathophysiological Animal Model.

Annals of thoracic surgery short reports·2025
Same author

Definitions of adverse events associated with extracorporeal membrane oxygenation in children: results of an international Delphi process from the ECMO-CENTRAL ARC.

The Lancet. Child & adolescent health·2024

Related Experiment Video

Updated: Oct 11, 2025

In Vitro Thrombosis Test for Ventricular Assist Devices
09:15

In Vitro Thrombosis Test for Ventricular Assist Devices

Published on: March 21, 2025

831

Predictive Model for Thrombus Formation After Transcatheter Valve Replacement.

Hoda Hatoum1,2, Shelly Singh-Gryzbon1,3, Fateme Esmailie1

  • 1Department of Biomedical Engineering, Georgia Institute of Technology, 387 Technology Circle, Atlanta, GA, 30313, USA.

Cardiovascular Engineering and Technology
|December 3, 2021
PubMed
Summary
This summary is machine-generated.

A new mathematical model predicts leaflet thrombosis after transcatheter aortic valve replacement (TAVR) by analyzing blood flow dynamics. This tool helps identify patients at high risk for thrombus formation, improving TAVR outcomes.

Keywords:
Flow stasisLeaflet thrombosisNeosinusPredictive ModelTranscatheter aortic valve replacement

More Related Videos

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia
06:01

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia

Published on: August 18, 2015

15.0K
In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
09:19

In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time

Published on: May 24, 2020

9.2K

Related Experiment Videos

Last Updated: Oct 11, 2025

In Vitro Thrombosis Test for Ventricular Assist Devices
09:15

In Vitro Thrombosis Test for Ventricular Assist Devices

Published on: March 21, 2025

831
A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia
06:01

A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia

Published on: August 18, 2015

15.0K
In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time
09:19

In Vitro Microfluidic Disease Model to Study Whole Blood-Endothelial Interactions and Blood Clot Dynamics in Real-Time

Published on: May 24, 2020

9.2K

Area of Science:

  • Cardiovascular Medicine
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Leaflet thrombosis is a serious complication following transcatheter aortic valve replacement (TAVR).
  • Predicting and preventing leaflet thrombosis is crucial for improving TAVR patient outcomes.
  • Current methods for assessing thrombosis risk lack precision.

Purpose of the Study:

  • To develop a semi-empirical mathematical model for predicting leaflet thrombosis after TAVR.
  • To link patient-specific anatomical, valve, and flow parameters to thrombosis likelihood.
  • To establish a novel metric for assessing washout and predicting thrombosis risk.

Main Methods:

  • Utilized computational fluid dynamics (CFD) and dimensional scaling to analyze neo-sinus (NS) washout.
  • Quantified washout using vorticity flux or circulation (Г).
  • Correlated Г with leaflet thrombus volumes (segmented via hypo-attenuating leaflet thickening) in TAVR patients.

Main Results:

  • Vorticity flux (Г) derived from scaling arguments significantly outperformed CFD-derived measures in predicting leaflet thrombosis.
  • A Г threshold of 28.0 demonstrated 100% sensitivity and specificity for predicting thrombosis.
  • A 10% measurement error reduced sensitivity and specificity to 87%.

Conclusions:

  • A predictive model using NS vorticity flux (Г) for TAVR leaflet thrombosis was developed.
  • The model shows promising sensitivity and specificity for identifying thrombosis risk.
  • Further refinement of this predictive technology could alert physicians to potential thrombus formation risks.