Systems and methods for treatment planning based on plaque progression and regression curves
View Patent ↗Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.
1. A computer-implemented method of evaluating a patient with vascular disease, the method comprising:
receiving or determining patient-specific data representing at least a portion of a location of disease in the patient's vasculature;
receiving or determining, from the patient-specific data, values of one or more plaque remodeling characteristics at the location of disease, the one or more plaque remodeling characteristics including at least one of: plaque composition, plaque location, plaque vulnerability, hemodynamic forces, intramural stress, and/or plaque inflammatory status;
calculating, based on the received or determined values of the one or more plaque remodeling characteristics, a propensity of the disease in the patient's vasculature to progress or regress;
generating, using the calculated propensity, an anatomic model of the location of disease at a first point of time;
identifying, based on the calculated propensity, a progression or regression of the disease in the patient's vasculature by modeling the progression or the regression of the disease using the generated anatomic model;
identifying a second point of time different from the first point of time, the second point of time being associated with the progression or regression of the disease in the patient's vasculature; and
generating a display including the identified progression or regression of the disease at the location of disease at the second point of time or generating a display including recommending assessment of the progression or regression of disease at the location of disease at the second point of time.
2. The computer-implemented method of claim 1 , wherein the second point of time includes a time at which the disease becomes functionally significant or wherein the second point of time includes a time at which the disease ceases to be functionally significant.
3. The computer-implemented method of claim 1 , further comprising:
determining a disease type associated with the disease associated with the calculated propensity; and
determining one or more disease predictions or one or more treatment plans based on the determined disease type.
4. The computer-implemented method of claim 1 , further comprising:
determining a patient medical or physical condition; and
determining or updating the second point of time based on the determined patient medical or physical condition.
5. The computer-implemented method of claim 1 , further comprising:
determining a rate of progression or regression of the disease; and
determining the second point of time based on the rate of progression or regression of the disease.
6. The computer-implemented method of claim 5 , further comprising:
determining a rate of progression or regression of the disease, wherein the rate of progression or regression of the disease is based on the location of disease.
7. The computer-implemented method of claim 1 , further comprising:
determining a time interval, wherein the second point of time is temporally spaced from the first point of time at the determined time interval; and
updating the display or the recommendation at the determined time interval.
8. The computer-implemented method of claim 1 , wherein the disease includes the presence of plaque.
9. A system for evaluating a patient with vascular disease, the system comprising:
a data storage device storing instructions for evaluating a patient with vascular disease; and
a processor configured to execute the instructions to perform a method including:
receiving or determining patient-specific data representing at least a portion of a location of disease in the patient's vasculature;
receiving or determining, from the patient-specific data, values of one or more plaque remodeling characteristics at the location of disease, the one or more plaque remodeling characteristics including at least one of: plaque composition, plaque location, plaque vulnerability, hemodynamic forces, intramural stress, and/or plaque inflammatory status;
calculating, based on the received or determined values of the one or more plaque remodeling characteristics, a propensity of the disease in the patient's vasculature to progress or regress;
generating, using the calculated propensity, an anatomic model of the location of disease at a first point of time;
identifying, based on the calculated propensity, a progression or regression of the disease in the patient's vasculature by modeling the progression or the regression of the disease using the generated anatomic model;
identifying a second point of time different from the first point of time, the second point of time being associated with the progression or regression of the disease in the patient's vasculature; and
generating a display including the identified progression or regression of the disease at the location of disease at the second point of time or generating a display including recommending assessment of the progression or regression of disease at the location of disease at the second point of time.
10. The system of claim 9 , wherein the second point of time includes a time at which the disease becomes functionally significant or wherein the second point of time includes a time at which the disease ceases to be functionally significant.
11. The system of claim 9 , wherein the system is further configured for:
determining a disease type associated with the disease associated with the calculated propensity; and
determining one or more disease predictions or one or more treatment plans based on the determined disease type.
12. The system of claim 9 , wherein the system is further configured for:
determining a patient medical or physical condition; and
determining or updating the second point of time based on the determined patient medical or physical condition.
13. The system of claim 9 , wherein the system is further configured for:
determining a rate of progression or regression of the disease; and
determining the second point of time based on the rate of progression or regression of the disease.
14. The system of claim 13 , wherein the system is further configured for:
determining a rate of progression or regression of the disease, wherein the rate of progression or regression of the disease is based on the location of disease.
15. The system of claim 9 , wherein the system is further configured for:
determining a time interval, wherein the second point of time is temporally spaced from the first point of time at the determined time interval; and
updating the display or the recommendation at the determined time interval.
16. The system of claim 9 , wherein the disease includes the presence of plaque.
17. A non-transitory computer readable medium for use on a computer system containing computer-executable programming instructions for performing a method of evaluating a patient with vascular disease, the method comprising:
receiving or determining patient-specific data representing at least a portion of a location of disease in the patient's vasculature;
receiving or determining, from the patient-specific data, values of one or more plaque remodeling characteristics at the location of disease, the one or more plaque remodeling characteristics including at least one of: plaque composition, plaque location, plaque vulnerability, hemodynamic forces, intramural stress, and/or plaque inflammatory status;
calculating, based on the received or determined values of the one or more plaque remodeling characteristics, a propensity of the disease in the patient's vasculature to progress or regress;
generating, using the calculated propensity, an anatomic model of the location of disease at a first point of time;
identifying, based on the calculated propensity, a progression or regression of the disease in the patient's vasculature by modeling the progression or the regression of the disease using the generated anatomic model;
identifying a second point of time different from the first point of time, the second point of time being associated with the progression or regression of the disease in the patient's vasculature; and
generating a display including the identified progression or regression of the disease at the location of disease at the second point of time or generating a display including recommending assessment of the progression or regression of disease at the location of disease at the second point of time.
18. The non-transitory computer readable medium of claim 17 , wherein the second point of time includes a time at which the disease becomes functionally significant or wherein the second point of time includes a time at which the disease ceases to be functionally significant.
19. The non-transitory computer readable medium of claim 17 , the method further comprising:
determining a disease type associated with the disease associated with the calculated propensity; and
determining one or more disease predictions or one or more treatment plans based on the determined disease type.
20. The non-transitory computer readable medium of claim 17 , the method further comprising:
determining a patient medical or physical condition; and
determining or updating the second point of time based on the determined patient medical or physical condition.