Method and system for quantifying limitations in coronary artery blood flow during physical activity in patients with coronary artery disease

US10092247B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10092247-B2
Application numberUS-201414496752-A
CountryUS
Kind codeB2
Filing dateSep 25, 2014
Priority dateSep 9, 2014
Publication dateOct 9, 2018
Grant dateOct 9, 2018

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  5. First independent claim

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Abstract

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Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create, for a given level of physical activity, a physics-based model of blood flow through the patient's heart simulated during a selected level of physical activity; determine and normalize one or more values of at least one blood flow characteristic within the patient's heart during the simulated level of physical activity; and compare the one or more normalized values of the at least one blood flow characteristic to a threshold to determine whether the level of physical activity exceeds an acceptable level of risk.

First claim

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What is claimed is: 1. A system for determining an activity level recommendation for a patient, the system comprising: at least one computer system configured to: receive data describing a geometry of at least a portion of a patient's heart; identify a cardiac event and a blood flow characteristic threshold value associated with the cardiac event; determine a three-dimensional model representing the geometry of at least the portion of the patient's heart based on the received data; determine a physics-based model of blood flow through the three-dimensional model, the physics-based model including a resistance of blood flow at the patient's myocardium simulated at a selected level of physical activity of the patient; model the flow of blood through the three-dimensional model using the physics-based model of blood flow through the three-dimensional model simulated at the selected level of physical activity; calculate, from the modeled flow of blood through the three-dimensional model simulated at the selected level of physical activity, a value of a blood flow characteristic within the patient's heart at the selected level of physical activity; update the physics-based model of blood flow by iteratively reducing the resistance to blood flow at the patient's myocardium and recalculating the value of the blood flow characteristic through each updated physics-based model, until the recalculated value exceeds the blood flow characteristic threshold value associated with the cardiac event; determine, based on one or more stored patient activities classified according to intensity level, a classification of patient activity intensity level corresponding to the physics-based model at which the recalculated value exceeded the blood flow characteristic threshold value associated with the cardiac event; and generate an activity level recommendation based on the determined classification of the patient activity intensity level. 2. The system of claim 1 , wherein the at least one computer system is further configured to: generate the activity level recommendation based on a risk of injury to the patient, the injury including stroke or myocardial infarction, or other injury. 3. The system of claim 2 , wherein the at least one computer system is further configured to: quantify the risk of the stroke, myocardial infarction, or other injury. 4. The system of claim 1 , wherein the activity level recommendation includes a level of physical activity of an intensity level less than the determined classification of the patient activity intensity level. 5. The system of claim 1 , wherein the blood flow characteristic is chosen from coronary blood flow, blood pressure, plaque stress, myocardial perfusion, blood flow affecting plaque vulnerability, or blood flow resulting from a location in the patient's heart comprising a territory of the patient's heart at risk of insufficient blood flow. 6. The system of claim 1 , wherein the selected level of physical activity is chosen from aerobic activity and anaerobic activity. 7. The system of claim 1 , wherein the at least one computer system is further configured to: generate the activity level recommendation relative to a patient activity intensity level corresponding to wherein the selected level of physical activity comprises intimacy. 8. The system of claim 1 , wherein the at least one computer system is further configured to: update the activity level recommendation based on a change in the value of the blood flow characteristic over time. 9. The system of claim 8 , wherein the blood flow characteristic threshold value is derived from a normal state value of the patient or from subjects of similar age and/or fitness level to the patient. 10. The system of claim 1 , wherein the three-dimensional model representing the geometry of at least the portion of the patient's heart based on the received data includes at least a portion of an aorta and at least a portion of a plurality of coronary arteries emanating from the portion of the aorta. 11. The system of claim 1 , wherein the at least one computer system is configured to: determine a location of a functionally significant narrowing in a coronary artery of the patient's heart based on the recalculated value of the at least one blood flow characteristic. 12. A method for determining an activity level recommendation for a patient, the method comprising: receiving data describing a geometry of at least a portion of a patient's heart; identifying a cardiac event and a blood flow characteristic threshold value associated with the cardiac event; determining a three-dimensional model representing the geometry of at least the portion of the patient's heart based on the received data; determining, using the at least one computer system, a physics-based model of blood flow through the three-dimensional model, the physics-based model including a resistance of blood flow at the patient's myocardium; simulated at a selected level of physical activity of the patient; modeling the flow of blood through the three-dimensional model using the physics-based model of blood flow through the three-dimensional model simulated at the selected level of physical activity; calculating, from the modeled flow of blood through the three-dimensional model simulated at the selected level of physical activity, a value of a blood flow characteristic within the patient's heart at the selected level of physical activity; updating the physics-based model of blood flow by iteratively reducing the resistance to blood flow at the patient's myocardium and recalculating the value of the blood flow characteristic through each updated physics-based model, until the recalculated value exceeds the blood flow characteristic threshold value associated with the cardiac event; determining, based on one or more stored patient activities classified according to intensity level, a classification of patient activity intensity level corresponding to the physics-based model at which the recalculated value exceeded the blood flow characteristic threshold value associated with the cardiac event; and generating an activity level recommendation based on the determined classification of the patient activity intensity level. 13. The method of claim 12 , wherein the method further comprises: generating the activity level recommendation based on a risk of injury to the patient, the injury including stroke or myocardial infarction, or other injury. 14. The method of claim 13 , wherein the method further comprises: quantifying the risk of the stroke, myocardial infarction, or other injury. 15. The method of claim 12 , wherein the activity level recommendation includes a level of physical activity of an intensity level less than the determined classification of the patient activity intensity level. 16. The method of claim 12 , wherein the blood flow characteristic is chosen from coronary blood flow, blood pressure, plaque stress, myocardial perfusion, blood flow affecting plaque vulnerability, or blood flow resulting from a location in the patient's heart comprising a territory of the patient's heart at risk of insufficient blood flow. 17. The method of claim 12 , wherein the selected level of physical activity is chosen from aerobic activity and anaerobic activity. 18. The method of claim 12 , wherein the method further comprises: generating the activity level recommendation relative to a patient activity intensity level corresponding to intimacy. 19. The method of claim 12 , wherein the metho

Assignees

Inventors

Classifications

  • using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD] · CPC title

  • G16H50/50Primary

    for simulation or modelling of medical disorders · CPC title

  • for calculating health indices; for individual health risk assessment · CPC title

  • Measuring blood output from the heart, e.g. minute volume · CPC title

  • Cross-Sectional Technologies · mapped topic

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What does patent US10092247B2 cover?
Embodiments include a system for determining cardiovascular information for a patient with coronary artery disease. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart and create a model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer syste…
Who is the assignee on this patent?
Heartflow Inc
What technology area does this patent fall under?
Primary CPC classification G16H50/50. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 09 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).