Method and system for determining a risk of hemodynamic compromise after cardiac intervention

1. A computer-based method for predicting cardiac health resulting from a proposed transcatheter structural heart intervention, comprising:

providing a calibration database configured to store data that correlates predicted measures of hemodynamic compromise to actual occurrences of post-operative hemodynamic compromise observed in a plurality of patients;

providing an implant model representing a three-dimensional representation of a cardiac implant;

providing a patient-specific anatomical model representing a patient-specific cardiac region including a first blood flow path and a deployment site for the cardiac implant in the first blood flow path;

virtually deploying the implant model into the patient-specific anatomical model at the deployment site;

calculating deformation of the implant model and of the patient-specific anatomical model caused by deployment of the implant model at the deployment site;

determining a patient-specific measure of hemodynamic compromise corresponding to the deformation of the implant model and of the patient-specific anatomical model; and

generating an indication of risk of likelihood of an actual hemodynamic compromise for the proposed transcatheter structural heart intervention arising from the patient-specific measure of hemodynamic compromise by comparing the patient-specific measure of hemodynamic compromise to the data associated with the actual occurrences of post-operative hemodynamic compromise observed in the plurality of patients stored in the calibration database.

2. The computer-based method of claim 1 , wherein the patient-specific anatomical model includes a second blood flow path that adjoins the first blood flow path, and the patient-specific measure of hemodynamic compromise is indicative of a measure of obstruction of the second blood flow path.

3. The computer-based method of claim 2 , wherein the measure of obstruction is an obstructed cross-sectional area of the second blood flow path.

4. The computer-based method of claim 1 , wherein the patient-specific measure of hemodynamic compromise is indicative a measure of obstruction of the first blood flow path.

5. The computer-based method of claim 1 , wherein the patient-specific measure of hemodynamic compromise is indicative of a measure of leakage in the first blood flow path around or through the implant model.

6. The computer-based method of claim 1 , further comprising providing the patient-specific anatomical model at a plurality of moments during a cardiac cycle, and the patient specific measure of hemodynamic compromise is determined at the plurality of moments.

7. The computer-based method of claim 1 , further comprising determining the patient-specific measure of hemodynamic compromise after simulating remodeling of the patient-specific anatomical model caused by prolonged presence of the implant model.

8. The computer-based method of claim 1 , wherein the patient-specific measure of hemodynamic compromise is indicative of a degree of incomplete deployment of the implant model.

9. The computer-based method of claim 1 , wherein the patient-specific anatomical model further comprises fluid pressure in the first blood flow.

10. The computer-based method of claim 9 , wherein the patient-specific measure of hemodynamic compromise is a pressure gradient in the first blood flow path.

11. The computer-based method of claim 1 , wherein the patient-specific anatomical model further comprises at least one valve leaflet of a native cardiac valve, and determining the patient-specific measure of hemodynamic compromise is indicative of displacement of the at least one valve leaflet.

12. The computer-based method of claim 1 , further comprising virtually deploying the implant model into the patient-specific anatomical model at a plurality of different locations at or near the deployment site and determining the patient-specific measure of hemodynamic compromise for each of the plurality of different locations.

13. The computer-based method of claim 1 , wherein virtually deploying the implant model further comprises:

providing a plurality of implant models having different geometrical or material properties, each of the plurality of implant models corresponding to a different cardiac implant; and

virtually deploying each of the implant models into the patient-specific anatomical model, and determining the patient-specific measure of hemodynamic compromise for each of the plurality of implant models.

14. The computer-based method of claim 13 , further comprising determining a corresponding one of the plurality of implant models that causes a least prediction of risk of complications.

15. The computer-based method of claim 1 , further comprising displaying the indication of risk on a display.

16. A system for predicting cardiac health following a proposed transcatheter structural heart intervention, comprising:

a processor;

a database configured to store data that correlates predicted measures of hemodynamic compromise to actual occurrences of post-operative hemodynamic compromise observed in a plurality of patients; and

a memory for storing instructions to be executed by the processor, the instructions programmed to:

receive an implant model representing a three-dimensional representation of a cardiac implant;

receive a patient-specific anatomical model representing a patient-specific cardiac region including a deployment site for the cardiac implant in a first blood flow path;

virtually deploy the implant model into the patient-specific anatomical model at the deployment site;

calculate deformation of the implant model and of the patient-specific anatomical model caused by deployment of the implant model;

determine a patient-specific measure of hemodynamic compromise corresponding to the deformation of the implant model and of the patient-specific anatomical model; and

generate an indication of risk of likelihood of an actual hemodynamic compromise for the proposed transcatheter structural heart intervention arising from the patient-specific measure of hemodynamic compromise by comparing the patient-specific measure of hemodynamic compromise to the data associated with the actual occurrences of post-operative hemodynamic compromise observed in the plurality of patients stored in the calibration database.

17. The system of claim 16 , wherein the instructions further are programmed to receive a patient-specific anatomical model that includes a second blood flow path that adjoins the first blood flow path, and to determine the patient-specific measure of hemodynamic compromise as indicative of a measure of obstruction of the second blood flow path.

18. The system of claim 16 , wherein the instructions further are programmed to receive the patient-specific anatomical model at a plurality of moments during a cardiac cycle, and to determine the patient-specific measure of hemodynamic compromise at the plurality of moments.

19. The system of claim 16 , wherein the instructions further are programmed to determine the patient-specific measure of hemodynamic compromise as indicative of a degree of incomplete deployment of the implant model.

20. A non-transitory computer-readable medium storing computer implementable instructions that when executed by a programmable computer cause the computer to:

retrieve an implant model representing a three-dimensional representation of a cardiac implant;

retrieve a patient-specific anatomical model representing a patient-specific cardiac region, the patient-specific anatomical model including a deployment site for the cardiac implant in a first blood flow path;

virtually deploy the implant model into the patient-specific anatomical model at the deployment site;

calculate deformation of the implant model and of the patient-specific anatomical model caused by deployment of the implant model;

determine a patient-specific measure of hemodynamic compromise corresponding to the deformation of the implant model and of the patient-specific anatomical model;

retrieve data that correlates predicted measures of hemodynamic compromise to actual occurrences of post-operative hemodynamic compromise observed in a plurality of patients from a calibration database; and

generate an indication of risk of likelihood of an actual hemodynamic compromise for the proposed transcatheter structural heart intervention arising from the patient-specific measure of hemodynamic compromise by comparing the patient-specific measure of hemodynamic compromise to the data associated with the actual occurrences of post-operative hemodynamic compromise observed in the plurality of patients stored in the calibration database.

21. The non-transitory computer-readable medium of claim 17 , wherein the instructions further are programmed to receive a patient-specific anatomical model that includes a second blood flow path that adjoins the first blood flow path, and to determine the patient-specific measure of hemodynamic compromise as indicative of a measure of obstruction of the second blood flow path.

22. The non-transitory computer-readable medium of claim 20 , wherein the instructions further are programmed to receive the patient-specific anatomical model at a plurality of moments during a cardiac cycle, and to determine the patient-specific measure of hemodynamic compromise at the plurality of moments.

23. The non-transitory computer-readable medium of claim 20 , wherein the instructions further are programmed to determine the patient-specific measure of hemodynamic compromise as indicative of a degree of incomplete deployment of the implant model.