The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 01, 2025
Filed:
Jul. 22, 2021
Ohio State Innovation Foundation, Columbus, OH (US);
Georgia Tech Research Corporation, Atlanta, GA (US);
Lakshmi Prasad Dasi, Dublin, OH (US);
Amirsepehr Azimian, Columbus, OH (US);
Hoda Hatoum, Atlanta, GA (US);
Shelly Singh-Gryzbon, Atlanta, GA (US);
Vinod Thourani, Atlanta, GA (US);
Ajit Yoganathan, Atlanta, GA (US);
Ohio State Innovation Foundation, Columbus, OH (US);
Georgia Tech Research Corporation, Atlanta, GA (US);
Abstract
Methods for determining likelihood of thrombosis based on patient-specific anatomic, valve, and flow parameters are disclosed herein. Such methods are used to select a transcatheter aortic valve that decreases likelihood of thrombosis after TAVR procedures. The methods correlate a number of fluid flow and geometric parameters such as stasis volume, neo-sinus volume, kinematic viscosity, dynamic viscosity, heart rate, the circulation, ejection time, velocity of the main jet, wall shear stress, total kinetic energy in the neo sinus volume, width of the neo-sinus, height or depth of the neo-sinus, the angle between the velocity direction and the stent of the transcatheter valve, the distance from the tip of the leaflet perpendicular to the leaflet edge and intersecting the sinotubular junction, and the cross-sectional area of the neo-sinus taken from a longitudinal or axial perspective. Such parameters are used to derive empirical or semi-empirical mathematical models to determine the likelihood of thrombosis.