IP Library Granted Patent US 9,839,483
Granted Patent B2
US 9,839,483 · App. 14/842,960 · Granted Dec 12, 2017

Systems and methods for risk assessment and treatment planning of arterio-venous malformation

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Quick Facts
Patent No.
US 9,839,483
App. No.
14/842,960
Granted
Dec 12, 2017
Kind
B2
Abstract

A computer implemented method for assessing an arterio-venous malformation (AVM) may include, for example, receiving a patient-specific model of a portion of an anatomy of a patient; using a computer processor to analyze the patient-specific model for identifying one or more blood vessels associated with the AVM, in the patient-specific model; and estimating a risk of an undesirable outcome caused by the AVM, by performing computer simulations of blood flow through the one or more blood vessels associated with the AVM in the patient-specific model.

Claims (45)

1. A computer implemented method for assessing an arterio-venous malformation (AVM), the method comprising:

receiving a patient-specific three-dimensional anatomic model of a portion of an anatomy of a patient, including one or more blood vessels having one or more vessel walls;

identifying, using a computer processor, one or more blood vessels of the patient-specific model associated with the AVM;

performing a blood flow simulation through the one or more identified blood vessels having the one or more vessel walls of the patient-specific three-dimensional anatomic model;

calculating one or more vessel wall properties of the one or more vessel walls, comprising intramural stresses or wall stresses, using the blood flow simulation and a stress equilibrium equation;

estimating a risk of an undesirable outcome caused by the AVM based on the calculated vessel wall properties; and

evaluating one or more treatments of the AVM, by modifying the patient-specific three-dimensional anatomic model and performing a second blood flow simulation through the modified patient-specific three-dimensional anatomic model, wherein the evaluating comprises first identifying larger blood vessels of the AVM for intervention.

2. The method of claim 1 , wherein the patient-specific model is based on images of at least a portion of a vascular system of the patient.

3. The method of claim 1 , wherein the undesirable outcome includes one or more of rupture of a blood vessel, a mass effect, an increase in venous pressure, and a change in tissue perfusion.

4. The method of claim 1 , wherein the blood flow simulation includes simulating or predicting progression, regression, or remodeling of the AVM.

5. The method of claim 1 , wherein evaluating the one or more treatments includes:

identifying one or more blood vessels for treatment;

determining an effect on blood flow caused by treatment of the one or more blood vessels; and

assessing a change the risk of the undesirable outcome.

6. The method of claim 5 , wherein the treatment includes one or more of embolization of the one or more blood vessels, ablation of the one or more blood vessels, surgical removal of all or part of the AVM, or radiosurgery.

7. The method of claim 1 , further comprising estimating the risk of the undesirable outcome based on a homeostatic vessel state.

8. A system for assessing an arterio-venous malformation (AVM), the system comprising:

a data storage device storing instructions for assessing an arterio-venous malformation (AVM); and

a processor configured to execute the instructions to perform a method comprising the steps:

receiving a patient-specific, three-dimensional anatomic model of a portion of an anatomy of a patient, including one or more blood vessels having one or more vessel walls;

identifying, using a computer processor; one or more blood vessels of the patient-specific model associated with the AVM;

performing a blood flow simulation through the one or more identified blood vessels having the one or more vessel walls of the patient-specific three-dimensional anatomic model;

calculating one or more vessel wall properties of the one or more vessel walls, comprising intramural stresses or wall stresses, using the blood flow simulation and a stress equilibrium equation;

estimating a risk of an undesirabl outcome caused by the AVM based on the calculated vessel wall properties; and

evaluating one or more treatments of the AVM, by modifying the patient- specific three-dimensional anatomic model and performing a second blood flow simulation through the modified patient-specific three-dimensional anatomic model, wherein the evaluating comprises first identifying larger blood vessels of the AVM for intervention.

9. The system of claim 8 , wherein the patient-specific model is based on images of at least a portion of a vascular system of the patient.

10. The system of claim 8 , wherein the undesirable outcome includes one or more of rupture of a blood vessel, a mass effect, an increase in venous pressure, and a change in tissue perfusion.

11. The system of claim 8 , wherein the blood flow simulation includes simulating or predicting progression, regression, or remodeling of the AVM.

12. The system of claim 8 , wherein evaluating the one or more treatments includes:

identifying one or more blood vessels for treatment; and

determining an effect on blood flow caused by treatment of the one or more blood vessels.

13. The system of claim 12 , wherein the treatment includes one or more of embolization of the one or more blood vessels, ablation of the one or more blood vessels, surgical removal of all or part of the AVM, or radiosurgery.

14. The system of claim 8 , wherein the processor is further configured for estimating the risk of the undesirable outcome based on a homeostatic vessel state.

15. A non-transitory computes-readable medium storing instructions that, when executed by a computer, cause the computer to perform a method for assessing an arterio-venous malformation (AVM), the method comprising;

receiving a patient-specific three-dimensional anatomic model of a portion of an anatomy of a patient, including one or more blood vessels having one or more vessel walls;

identifying, using a computer processor, one or more blood vessels of the patient-specific model associated with the AVM;

performing a blood flow simulation through the one or more identified blood vessels having the one or more vessel walls of the patient-specific three-dimensional anatomic model;

calculating one or more vessel wall properties of the one or more vessel walls, comprising intramural stresses or wall stresses, using the blood flow simulation and a stress equilibrium equation; estimating a risk of an undesirable outcome caused by the AVM based on the calculated vessel wall properties; and

evaluating one or more treatments of the AVM, by modifying the patient-specific three-dimensional anatomic model and performing a second blood flow simulation through the modified patient-specific three-dimensional anatomic model, wherein the evaluating comprises first identifying larger blood vessels of the AVM for intervention.

16. The method of claim 15 , wherein the undesirable outcome includes one or more of rupture of a blood vessel, a mass effect, an increase in venous pressure, and a change in tissue perfusion.

17. The method of claim 15 , further comprising evaluating one or more treatments of the AVM, including:

identifying one or more blood vessels for treatment;

determining an effect on blood flow caused by treatment of the one or more blood vessels; and

assessing a change the risk of the undesirable outcome.

18. The method of claim 15 , further comprising estimating the risk of the undesirable outcome based on a homeostatic vessel state.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Sep 11, 2025
From: HAYFIN SERVICES LLP
To: HEARTFLOW, INC.
Reel/Frame 072876/0775 →
RELEASE OF SECURITY INTEREST Recorded Jun 21, 2024
From: HAYFIN SERVICES LLP
To: HEARTFLOW, INC.
Reel/Frame 067801/0032 →
SECURITY INTEREST Recorded Jun 18, 2024
From: HEARTFLOW, INC.
To: HAYFIN SERVICES LLP
Reel/Frame 067775/0966 →
SECURITY INTEREST Recorded Jan 20, 2021
From: HEARTFLOW, INC.
To: HAYFIN SERVICES LLP
Reel/Frame 055037/0890 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 16, 2017
From: SANKARAN, SETHURAMAN; ZARINS, CHRISTOPHER; GRADY, LEO
To: HEARTFLOW, INC.
Reel/Frame 041593/0766 →