Granted Patent B2

US 11,646,118 · App. 16/727,161 · Granted May 9, 2023

Inventors: Leo Grady (Redwood City, CA); Gilwoo Choi (Redwood City, CA); Charles A. Taylor (Redwood City, CA); Christopher K. Zarins (Redwood City, CA)

Assignee: HeartFlow, Inc.

G16H50/20G06F17/18G06N7/005G16H50/50

Abstract

Claims (66)

1. A computer-implemented method of determining a patient risk assessment or treatment plan based on emboli dislodgement and destination, the method comprising:

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature;

determining or receiving a plurality of source locations of interest in the patient-specific anatomic model of the patient's vasculature, where each source location of interest is associated with an identified plaque, pathological area, or location of vascular shedding in the patient's vasculature;

determining or receiving a destination location of interest in the patient-specific anatomic model of the patient's vasculature;

simulating a path of a dislodged embolus from each source location of interest;

determining a patient-specific probability of an embolus lodging at the destination location of interest, where the probability is based on the simulated path; and

determining, based on the plurality of source locations of interest, a vascular source location of the embolus in the patient's vasculature, based on the determined patient-specific probability.

2. The computer-implemented method of claim 1 , further comprising:

determining, in the patient's vasculature, a location of a plaque, a location meeting a predetermined criteria of pathology, or a location of possible vascular shedding; and

determining or receiving the source location of interest in the patient-specific anatomic model based on the determined location of plaque, determined location meeting the predetermined criteria of pathology, or the location of possible vascular shedding.

3. The computer-implemented method of claim 1 , further comprising:

determining a target location in the patient's vasculature, wherein the destination probability is a probability that the embolus traveling through the patient's vasculature reaches the target location.

4. The computer-implemented method of claim 1 , further comprising:

determining the destination location of interest based on the computed destination probability.

5. The computer-implemented method of claim 1 , further comprising:

determining an association between a target location in the patient-specific anatomic model, the destination probability, and the source location of interest; and

outputting a patient risk assessment or treatment plan based on the determined association.

6. The computer-implemented method of claim 5 , further comprising:

determining, for a second source location of interest, a second destination probability of an embolus associated with the second source location of interest;

determining an association between the target location in the patient-specific anatomic model, the destination probability, and the second source location of interest;

comparing the association between the target location in the patient-specific anatomic model, the destination probability, and the source location of interest, and the association between the target location in the patient-specific anatomic model, the destination probability, and the second source location of interest; and

determining or generating a display or a treatment recommendation based on the comparison.

7. The computer-implemented method of claim 1 , further comprising:

determining patient risk of a disease, based on the computed destination probability of the embolus, wherein the patient risk of the disease includes patient risk of a disease associated with a location in the patient's vasculature.

8. The computer-implemented method of claim 7 , wherein the patient risk of disease includes a risk of embolism, cognitive impairment, stroke, transient ischemic attack, pulmonary embolism, renal embolism, or a combination thereof.

9. A computer system for determining a patient risk assessment or treatment plan based on emboli dislodgement and destination, the system comprising:

at least one data storage device storing instructions for the determining a patient risk assessment or treatment plan based on emboli dislodgement and destination; and

at least one processor configured to execute the instructions to perform a method including:

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature;

determining or receiving a plurality of source locations of interest in the patient-specific anatomic model of the patient's vasculature, where each source location of interest is associated with an identified plaque, pathological area, or location of vascular shedding in the patient's vasculature;

determining or receiving a destination location of interest in the patient-specific anatomic model of the patient's vasculature;

simulating a path of a dislodged embolus from each source location of interest;

determining a patient-specific probability of an embolus lodging at the destination location of interest, where the probability is based on the simulated path; and

determining, based on the plurality of source locations of interest, a vascular source location of the embolus in the patient's vasculature, based on the determined patient-specific probability.

10. The system of claim 9 , wherein the system is further configured for:

determining, in the patient's vasculature, a location of a plaque, a location meeting a predetermined criteria of pathology, or a location of possible vascular shedding; and

determining or receiving the source location of interest in the patient-specific anatomic model based on the determined location of plaque, determined location meeting the predetermined criteria of pathology, or the location of possible vascular shedding.

11. The system of claim 9 , wherein the system is further configured for:

determining a target location in the patient's vasculature, wherein the destination probability is a probability that the embolus traveling through the patient's vasculature reaches the target location.

12. The system of claim 9 , wherein the system is further configured for:

determining the destination location of interest based on the computed destination probability.

13. The system of claim 9 , wherein the system is further configured for:

determining an association between a target location in the patient-specific anatomic model, the destination probability, and the source location of interest; and

outputting a patient risk assessment or treatment plan based on the determined association.

14. The system of claim 13 , wherein the system is further configured for:

determining, for a second source location of interest, a second destination probability of an embolus associated with the second source location of interest;

determining an association between the target location in the patient-specific anatomic model, the destination probability, and the second source location of interest;

comparing the association between the target location in the patient-specific anatomic model, the destination probability, and the source location of interest, and the association between the target location in the patient-specific anatomic model, the destination probability, and the second source location of interest; and

determining or generating a display or a treatment recommendation based on the comparison.

15. The system of claim 9 , wherein the system is further configured for:

determining patient risk of a disease, based on the destination probability of the embolus, wherein the patient risk of the disease includes patient risk of a disease associated with a location in the patient's vasculature.

16. The system of claim 15 , wherein the patient risk of disease includes a risk of embolism, cognitive impairment, stroke, transient ischemic attack, pulmonary embolism, renal embolism, or a combination thereof.

17. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of determining a patient risk assessment or treatment plan based on emboli dislodgement and destination, the method comprising:

receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature;

determining or receiving a plurality of source locations of interest in the patient-specific anatomic model of the patient's vasculature, where each source location of interest is associated with an identified plaque, pathological area, or location of vascular shedding in the patient's vasculature;

determining or receiving a destination location of interest in the patient-specific anatomic model of the patient's vasculature;

simulating a path of a dislodged embolus from each source location of interest;

determining a patient-specific probability of an embolus lodging at the destination location of interest, where the probability is based on the simulated path; and

determining, based on the plurality of source locations of interest, a vascular source location of the embolus in the patient's vasculature, based on the determined patient-specific probability.

18. The non-transitory computer readable medium of claim 17 , the method further comprising:

determining, in the patient's vasculature, a location of a plaque, a location meeting a predetermined criteria of pathology, or a location of possible vascular shedding; and

determining or receiving the source location of interest in the patient-specific anatomic model based on the determined location of plaque, determined location meeting the predetermined criteria of pathology, or the location of possible vascular shedding.

19. The non-transitory computer readable medium of claim 17 , the method further comprising:

determining a target location in the patient's vasculature, wherein the destination probability is a probability that the embolus traveling through the patient's vasculature reaches the target location.

20. The non-transitory computer readable medium of claim 19 , the method further comprising:

determining the destination location of interest based on the computed destination probability.

Assignments (5)

Continuity (5)

Cited By (17)

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