Model-based systems and methods for analyzing and predicting outcomes of vascular interventions and reconstructions

• US 20120084064A1
• Filed: 09/29/2011
• Published: 04/05/2012
• Est. Priority Date: 09/29/2010
• Status: Abandoned Application

• Current Assignee: NUtech Ventures
• Original Assignee: NUtech Ventures
• Inventors: Dzenis, Yuris, Kamenskiy, Alexey, Pipinos, Iraklis, MacTaggart, Jason N.
• Application Number:
  US13/200,719
• Publication Number:
  US 20120084064A1
• Time in Patent Office: Days
• US Class Current: 703/11
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Systems and methods for analyzing and predicting treatment outcomes of medical procedures such as vascular interventions and reconstructions are disclosed. An illustrative system for analyzing and predicting therapeutic outcomes of medical procedures comprises a relational database configured for classifying and storing patient specific input data for multiple patients, a fluid-solid interaction biomechanical model configured for performing a biomechanics simulation and generating biomechanics data, and a graphical user interface.

Claims

1. A method for analyzing and predicting treatment outcomes of vascular interventions and reconstructions, comprising:

inputting patient specific data associated with a patient into a database;

searching the database and obtaining additional data to be associated with the patient, wherein the additional data is obtained based at least in part on patient specific data stored within the database for one or more other patients;

selecting at least one of a treatment parameter or medical device parameter to be used in association with a proposed treatment option for treating the patient;

searching the database and obtaining one or more model properties associated with the treatment or medical device parameter;

generating a fluid-solid interaction biomechanical model based at least in part on the patient specific data, the additional data associated with the patient, and the model properties;

performing a biomechanics simulation and generating biomechanics data using the biomechanical model; and

analyzing the biomechanics data.

2. The method of claim 1, wherein the patient specific data for the patient comprises data selected from the group of data comprising age, gender, race, risk factor profile, clinical history, medications, blood count, diet, and lifestyle.

3. The method of claim 1, wherein the patient specific data for the patient includes three-dimensional vessel geometry properties.

4. The method of claim 1, wherein the patient specific data for the patient comprises data selected from the group of properties comprising vessel wall tissue mechanical properties and blood rheologic properties.

5. The method of claim 1, wherein the patient specific data for the patient comprises data selected from the group of properties comprising dynamic blood flow properties, blood pressure cycles, and boundary conditions.

6. The method of claim 1, wherein the patient specific data and model properties associated with the treatment or method are obtained using a plurality of input evaluation modules.

7. The method of claim 6, wherein the plurality of input evaluation modules are selected from the group of modules comprising a mechanical properties evaluation module, a blood rheology evaluation module, a blood vessel geometry evaluation module, a medical device geometry evaluation module, a boundary blood flow evaluation module, and a load evaluation module.

8. The method of claim 1, wherein the additional data to be associated with the patient is selected from the database of data for other patients based on clinical data for the patient.

9. The method of claim 8, wherein the clinical data for the patient is selected from the group of data comprising patient age, gender, race, risk factors, clinical history, medications, diet, lifestyle and pregnancy.

10. The method of claim 8, wherein the clinical information for the patient includes laboratory or in-vivo tests on the patient.

11. The method of claim 1, wherein selection of the treatment parameter or medical device parameter comprises selecting at least one parameter from the group of parameters comprising a type of surgery or intervention, the type of medical device, the geometry of the medical device, the material of the medical device, and the mechanical properties of the medical device.

12. The method of claim 1, wherein generating the fluid-solid interaction biomechanical model comprises generating an algorithm for solving time-dependent, three-dimensional solid and fluid biomechanics equations with boundary conditions based on the patient specific and additional data associated with the patient and model properties associated with the treatment or medical device parameter.

13. The method of claim 12, wherein generating the biomechanics data comprises generating at least one output selected from the group of outputs comprising a time-dependent, three-dimensional distributions of stresses and strains within a vessel wall or medical device, time-dependent, three-dimensional distributions of blood velocities, pressure, and flow shear stresses in blood.

14. The method of claim 1, further comprising analyzing one or more derivative parameters associated with the biomechanics data.

15. The method of claim 14, wherein the one or more derivative parameters comprises at least one derivative parameter selected from the group of parameters comprising atherosclerosis-related parameters, restenosis prediction parameters, and device mechanical failure parameters.

16. The method of claim 14, wherein the derivative parameters are obtained by quantitatively and qualitatively analyzing the biomechanics data.

17. The method of claim 14, wherein the derivative parameters are obtained by static or dynamic visualization and mapping.

18. The method of claim 1, further comprising generating and repeatedly updating the fluid-solid interaction biomechanical model, performing a biomechanics simulation, generating biomechanics data, and analyzing the simulation and biomechanics data to optimize the proposed treatment option.

19. The method of claim 1, further comprising computing mean patient data based on patient data for a plurality of patients.

20. A method for analyzing and predicting treatment outcomes of vascular interventions and reconstructions, comprising:

obtaining, in vivo, patient specific data associated with a patient;

searching a database and obtaining additional data to be associated with the patient, wherein the database is configured to classify and stored data for a plurality of patients, and wherein the additional data is obtained based at least in part on patient specific data stored within the database for one or more other patients;

selecting at least one of a treatment parameter or medical device parameter to be used in association with a proposed treatment option for treating the patient;

searching the database and obtaining one or more model properties associated with the treatment parameter or medical device parameter;

generating a fluid-solid interaction biomechanical model based at least in part on the patient specific data, the additional data associated with the patient, and the model properties, wherein the fluid-solid interaction biomechanical model comprises time-dependent, three-dimensional solid and fluid equations;

performing a biomechanics simulation and generating biomechanics data using the biomechanical model; and

analyzing the biomechanics data and determining the effectiveness of the proposed treatment.

21. A system for analyzing and predicting therapeutic outcomes in medical procedures, comprising:

a relational database configured for classifying and storing patient specific input data for a plurality of patients;

a means for obtaining and inputting patient specific input data to the database;

a means for selecting additional data to be associated with the patient in the database;

a means for inputting treatment related and medical device related parameters to the database;

a means for selecting treatment type, inputting model parameters, and assembling a biomechanical model based on the selected treatment type, the patient specific data, the additional data associated with the patient, and the treatment and medical device related parameters;

a processor and fluid-solid interaction biomechanical model configured for performing a biomechanics simulation and generating biomechanics data, the fluid-solid biomechanical model comprising time-dependent, three-dimensional solid and fluid equations;

a means for evaluating the outcomes of the biomechanics simulation; and

an interface configured for exchanging data between the database and a plurality of users.

22. The system of claim 21, wherein said means for gathering input data comprises a plurality of input evaluation modules.

23. The system of claim 22, wherein the plurality of evaluation modules are selected from the group of modules comprising a mechanical properties evaluation module, a blood rheology evaluation module, a blood vessel geometry evaluation module, a medical device geometry evaluation module, a boundary blood flow evaluation module, and a load evaluation module.

24. The system of claim 22, wherein the plurality of evaluation modules further comprises a restenosis prediction module.

25. The system of claim 22, wherein the plurality of evaluation modules further comprises a failure prediction module.

26. The system of claim 22, wherein the plurality of evaluation modules further comprises a treatment selection and optimization module.

27. The system of claim 22, wherein the plurality of evaluation modules further comprises a design evaluation module.