Treatment planning systems and methods for body contouring applications

A system for developing and administering a patient-specific treatment plan comprising:

• a computing device;
• a user interface in communication with the computing device for enabling a user to request a treatment plan and to specify patient-specific data, wherein patient-specific data includes at least one of a target region pre-treatment data element and an objective post-treatment data element;
• a predictive modeling module configured to—
• receive and compare the patient-specific data to a plurality model data sets, wherein the model data sets comprise at least one of empirically-derived data and a priori information, and wherein the model data sets correspond to unique combinations of treatment parameters;
• and
• rank the plurality of model data sets in accordance with a degree of affinity to the patient-specific data;
• a treatment plan formulation module configured to automatically calculate a best-fit combination of treatment parameters from a plurality of treatment parameters to generate the patient-specific treatment plan for non-invasively transdermally removing heat from subcutaneous lipid-rich cells in a target region contour of a patient, wherein calculating the best-fit combination includes determining the unique combination of treatment parameters corresponding to one or more model data sets having a highest affinity to the patient-specific data;
• and
• a treatment system in communication with the computing device for non-invasive, transdermal heat removal from the lipid-rich cells in the target region contour, the treatment system configured to receive the patient-specific treatment plan from the treatment formulation module, and administer treatment to the lipid-rich target region, wherein the treatment includes the best-fit combination of treatment parameters.

A system for developing and administering a patient-specific treatment plan comprising:

• a treatment system for non-invasive, transdermal removal of heat from subcutaneous lipid-rich cell of a patient;
• a computing device in communication with the treatment system and configured to receive and transmit patient-specific data and patient-specific treatment plans, wherein the patient-specific data includes one or more objective post-treatment data elements and real-time feedback data;
• a treatment plan generator in communication with the computing device and configured to receive and compare the patient-specific data to a plurality of model data sets, wherein the model data sets correspond to unique combinations of treatment parameters, and wherein the treatment plan generator includes—
• a real-time optimization module configured to receive real-time feedback data from the computing device during preliminary treatment administration to determine actual target region data;
• a predictive modeling module configured to receive and compare the actual target region data to the plurality model data sets, and rank the plurality of model data sets in accordance with a degree of affinity to the actual target region data and the one or more objective post-treatment data elements;
• and
• a treatment plan formulation module configured to calculate a best-fit combination of treatment parameters to generate the patient-specific treatment plan, wherein calculating the best-fit combination includes determining the unique combination of treatment parameters corresponding to one or more model data sets having a highest affinity to the actual target region data and the one or more objective post-treatment data elements;
• and
• wherein the treatment system is configured to receive the patient-specific treatment plan from the computing device in real-time and modify treatment parameters during treatment based on the patient-specific treatment plan.

A non-transitory computer-readable medium whose contents cause at least one computer to perform a method for generating a patient-specific treatment plan, the method comprising:

• receiving patient-specific data and a request for generating a patient-specific treatment plan, wherein the patient-specific data relates to a current body contour at a lipid-rich target region of a patient and includes real-time feedback data, and wherein the patient-specific treatment plan includes operational parameters for administering treatment to the patient for altering the current body contour;
• creating a pre-treatment data set comprising lipid-rich target region data elements;
• comparing the pre-treatment data set to a plurality of model data sets, wherein the model data sets correspond to unique combinations of treatment parameters;
• ranking the plurality of model data sets in accordance with a degree of affinity to the pre-treatment data set;
• calculating a best-fit combination of treatment parameters from the unique combination of treatment parameters corresponding to one or more model data sets having a highest affinity to the pre-treatment data set;
• and
• generating, in real-time, the patient-specific treatment plan for implementation by a treatment system, wherein the patient-specific treatment plan includes the best-fit combination of treatment parameters.

A non-transitory computer-readable medium whose contents cause at least one computer to perform a method for providing a treatment plan for altering a patient body contour, the method comprising:

• receiving patient-specific objective post-treatment data relating to a desired body contour;
• receiving actual patient-specific data relating to a current body contour generated during preliminary treatment administration;
• ranking a plurality of model data sets in accordance with a degree of affinity to the actual patient-specific data and the patient-specific objective post-treatment data, wherein the model data sets include at least one of empirically-derived data and a priori information, and wherein the model data sets correspond to unique combinations of treatment parameters;
• automatically calculating a best-fit combination of treatment parameters from the unique combination of treatment parameters corresponding to one or more model data sets having a highest affinity to the actual patient-specific data and the patient-specific objective post-treatment data;
• and
• providing a treatment plan for administering treatment to alter the current body contour to a body contour at least approximate to the desired body contour, wherein the treatment plan includes the best-fit combination of treatment parameters.

A non-transitory computer-readable medium whose contents cause at least one computer to perform a method for providing a user interface relating to generating a treatment plan for cooling a subcutaneous lipid-rich target region of a patient, the method comprising:

• receiving patient-specific data relating to the subcutaneous lipid-rich target region;
• displaying a first graphical image representing the patient-specific data;
• automatically generating a treatment plan including a calculated best-fit combination of treatment parameters for achieving a desired treatment result
• receiving objective post-treatment data relating to the desired treatment result;
• and
• displaying a second graphical image representing the desired treatment result, wherein the second graphical image is based upon the patient-specific data and the objective post-treatment data.