Method of characterizing the pathological response of tissue to a treatment plan

1. A method of characterizing pathological response of a tumor in a volume of tissue to a treatment plan, comprising:

at a computing system in communication with an ultrasound system, generating a set of morphology renderings of the volume of tissue, from acoustic data received from the ultrasound system, wherein the set of morphology renderings is associated with a set of time points spanning at least a portion of the treatment plan;

at the computing system, generating a set of volume average values of one or more biomechanical properties representative of a combination of acoustic speed with at least one of acoustic attenuation and acoustic reflection from the set of morphology renderings;

at the computing system, calculating a rate of change in the one or more biomechanical properties for the tumor from the set of volume average values; and

at the computing system, generating a predicted response of the tumor to the treatment plan based on the rate of change in the one or more biomechanical properties within the tumor.

2. The method of claim 1 , wherein generating the set of morphology renderings includes suspending the volume of tissue within a bath having a ring transducer immersed in the bath, and passing the ring transducer along an anterior-posterior direction across the volume of tissue.

3. The method of claim 2 , wherein generating the set of morphology renderings comprises 1) generating a plurality of two-dimensional cross-sectional images of the tumor and combining the cross-sectional images into a three-dimensional image of the tumor and 2) generating a merged image representing a combination of at least two of acoustic reflection, acoustic attenuation, and acoustic speed within the tumor.

4. The method of claim 1 , wherein generating the set of volume average values includes generating at least one value based upon a combination of acoustic speed, acoustic attenuation, and acoustic reflection data for the tumor.

5. The method of claim 1 , wherein calculating the rate of change in the biomechanical property within the tumor includes calculating a slope of a best-fit curve fitted to two or more values in the set of volume average values.

6. The method of claim 1 , further comprising: at an output module of a user interface device in communication with the computing system, informing an entity of the predicted response, thereby enabling assessment of the treatment plan.

7. The method of claim 1 , further comprising: by way of a display in communication with the computing system, automatically recommending an adjustment to the treatment plan, to an entity associated with a patient having the tumor, based upon a comparison between the rate of change in the biomechanical property and a success threshold slope.

8. The method of claim 7 , wherein in automatically recommending the adjustment to the treatment plan, the success threshold slope is based upon a prior patient dataset characterizing response of prior patients to the treatment plan, wherein the prior patient dataset provides a set of thresholds indicative of predicted responsiveness to the treatment plan.

9. The method of claim 1 , wherein the predicted response of the tumor to the treatment plan comprises an indication of the tumor as one of responsive, partially responsive, or nonresponsive.

10. The method of claim 1 , wherein the set of time points is obtained at one or more phases of the treatment plan.

11. The method of claim 10 , wherein at least one of the one or more phases comprises a treatment selected from the group consisting of a chemotherapy treatment, a radiation therapy treatment, a cryotherapy treatment, a radiofrequency ablation treatment, and an electroporation treatment.

12. The method of claim 10 , wherein at least one of the set of time points is associated with at least one of the morphology renderings obtained immediately before or after at least one of the one or more treatment phases.

13. The method of claim 1 , wherein a time point of the set of time points is obtained every one to three weeks.

14. The method of claim 1 , wherein generating the set of volume average values comprises generating one or more volume average values characterizing tumor tissue and generating one or more volume average values characterizing background tissue.

15. The method of claim 1 , wherein generating the predicted response of the tumor to the treatment plan comprises a qualitative characterization of the rate of change in the one or more biomechanical properties.

16. The method of claim 1 , wherein generating the predicted response of the tumor to the treatment plan comprises a characterization of the rate of change in the one or more biomechanical properties and a characterization of a prior patient MRI or PET dataset.

17. The method of claim 1 , wherein the method characterizes a pathological response of two or more tumors.

18. The method of claim 1 , wherein the method further comprises characterizing a spatial distribution of the one or more biomechanical properties from the set of morphology renderings.

19. The method of claim 18 , wherein generating the predicted response is additionally based on the spatial distribution of the one or more biomechanical properties.

20. The method of claim 1 , wherein the method further comprises, at the computing system, graphing the set of volume average values of the one or more biomechanical properties on a plot against a temporal variable.