Systems and methods for risk assessment and treatment planning of arteriovenous malformation

Patent metadata

Field	Value
Publication number	US-11229486-B2
Application number	US-202016999618-A
Country	US
Kind code	B2
Filing date	Aug 21, 2020
Priority date	Apr 21, 2015
Publication date	Jan 25, 2022
Grant date	Jan 25, 2022

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.

First claim

What is claimed is:

1. A computer implemented method for assessing an arterio-venous malformation (AVM), the method comprising:
receiving image data of at least a portion of a vascular system of a patient, including one or more blood vessels having at least one vessel wall associated with the AVM;
generating a patient-specific three-dimensional anatomic model of the portion of the vascular system of the patient, using the received image data;
identifying, using a computer processor, features of the one or more blood vessels having the AVM;
identifying, using a computer processor, a blood vessel of the patient-specific three-dimensional anatomic model;
performing a blood flow simulation through the identified blood vessels having the AVM;
identifying one or more largest blood vessels associated with the AVM; and
generating a treatment recommendation for treating the AVM of the identified blood vessel based on the performed blood flow simulation and based on the identified largest blood vessels associated with the AVM.

2. The method of claim 1 , further comprising:
calculating one or more vessel wall properties of one or more vessel walls of the one or more blood vessels, comprising intramural stresses or wall stresses, using the blood flow simulation and a stress equilibrium equation; and
evaluating one or more treatments of the AVM based on the one or more calculated vessel wall properties and based on the identifying of the largest blood vessels of the AVM for intervention.

3. The method of claim 2 , wherein evaluating the one or more treatments further includes:
determining an effect on blood flow caused by treatment of the one or more blood vessels; and
assessing a change in a risk of an undesirable outcome.

4. The method of claim 2 , wherein the vessel wall properties may include a vessel wall thickness, vessel wall structure, or vessel wall composition.

5. The method of claim 1 , further comprising:
computing one or more forces acting on a vessel wall of the identified one or more largest blood vessels; and
performing the blood flow simulation further based on the one or more computed forces.

6. The method of claim 1 , further comprising:
generating a patient-specific three-dimensional anatomic model of the portion of an anatomy of the patient, using the received image data.

7. The method of claim 6 , wherein the blood flow simulation includes determining a blood flow characteristic at one or more points of a patient-specific three-dimensional anatomic model.

8. The method of claim 1 , further comprising:
determining an effect on blood flow caused by treatment of the identified blood vessel.

9. The method of claim 1 , wherein generating the treatment recommendation includes weighing a list of factors comprising one or more of:
anatomical risk factors, including Spetzler-Martin grade;
functional risk factors;
difference in venous pressure post and pre treatment;
difference in tissue perfusion before and after treatment; and
a prediction of a remodeled blood vessel radius and thickness.

10. A system for assessing an arterio-venous malformation (AVM), the system comprising:
at least one data storage device storing instructions for assessing an arterio-venous malformation (AVM); and
at least one processor configured to execute the instructions to perform a method comprising:
receiving image data of at least a portion of a vascular system of a patient, including one or more blood vessels having at least one vessel wall associated with the AVM;
generating a patient-specific three-dimensional anatomic model of the portion of the vascular system of the patient, using the received image data;
identifying, using a computer processor, features of the one or more blood vessels having the AVM;
identifying, using a computer processor, a blood vessel of the patient-specific three-dimensional anatomic model;
performing a blood flow simulation through the identified blood vessels having the AVM;
identifying one or more largest blood vessels associated with the AVM; and
generating a treatment recommendation for treating the AVM of the identified blood vessel based on the performed blood flow simulation and based on the identified largest blood vessels associated with the AVM.

11. The system of claim 10 , wherein the system is further configured for:
calculating one or more vessel wall properties of one or more vessel walls of the one or more blood vessels, comprising intramural stresses or wall stresses, using the blood flow simulation and a stress equilibrium equation; and
evaluating one or more treatments of the AVM based on the one or more calculated vessel wall properties and based on the identifying of the largest blood vessels of the AVM for intervention.

12. The system of claim 10 , further comprising:
computing one or more forces acting on a vessel wall of the identified one or more largest blood vessels; and
performing the blood flow simulation further based on the one or more computed forces.

13. The system of claim 10 , further comprising:
generating a patient-specific three-dimensional anatomic model of the portion of an anatomy of the patient, using the received image data.

14. The system of claim 13 , wherein the blood flow simulation includes determining a blood flow characteristic at one or more points of a patient-specific three-dimensional anatomic model.

15. The system of claim 10 , further comprising:
determining an effect on blood flow caused by treatment of the identified blood vessel.

16. The system of claim 10 , wherein generating the treatment recommendation includes weighing a list of factors comprising one or more of:
anatomical risk factors, including Spetzler-Martin grade;
functional risk factors;
difference in venous pressure post and pre treatment;
difference in tissue perfusion before and after treatment; and
a prediction of a remodeled blood vessel radius and thickness.

17. A non-transitory computer readable medium storing computer-executable programming instructions for performing a method of non-invasively assessing a risk of a clinical event in a patient, the method comprising:
receiving image data of at least a portion of a vascular system of a patient, including one or more blood vessels having at least one vessel wall associated with an arterio-venous malformation (AVM);
generating a patient-specific three-dimensional anatomic model of the portion of the vascular system of the patient, using the received image data;
identifying, using a computer processor, features of the one or more blood vessels having the AVM;
identifying, using a computer processor, a blood vessel of the patient-specific three-dimensional anatomic model;
performing a blood flow simulation through the identified blood vessels having the AVM;
identifying one or more largest blood vessels associated with the AVM; and
generating a treatment recommendation for treating the AVM of the identified blood vessel based on the performed blood flow simulation and based on the identified largest blood vessels associated with the AVM.

18. The computer-readable medium of claim 17 , further comprising:
calculating one or more vessel wall properties of one or more vessel walls of the one or more blood vessels, comprising intramural stresses or wall stresses, using the blood flow simulation and a stress equilibrium equation; and
evaluating one or more treatments of the AVM based on the one or more calculated vessel wall properties and based on the identifying of the largest blood vessels of the AVM f

Assignees

• Heartflow Inc

Inventors

• Sankaran Sethuraman
• Zarins Christopher
• Grady Leo

Classifications

• G06T12/00

  Tomographic reconstruction from projections · CPC title

• A61B5/02007 Primary

  Evaluating blood vessel condition, e.g. elasticity, compliance · CPC title

• A61B34/10 Primary

  Computer-aided planning, simulation or modelling of surgical operations · CPC title

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

• A61B5/4848

  Monitoring or testing the effects of treatment, e.g. of medication · CPC title