Dynamic and Differential Analysis
AssigneeSoar BioDynamics, Ltd.
InventorThomas Neville
Life of this patent
Estimating the term…
Abstract
The present invention provides methods to improve upon prostate cancer screening, thereby saving lives and reducing morbidities of unwarranted biopsies and over-treatment. The methods use a systematic analysis of the growth rate of PSA from cancer and PSA variation and the way in which they might be used to distinguish high-risk cancers from no cancer. Approaches include Dynamic-Differential Strategy, Dynamic-Differential Analysis, and Dynamic Analysis.
Claims32
A method for estimating the probability of a prostate condition in a subject, comprising:
- a) obtaining a series of at least a first and a second PSA value from said subject, wherein the PSA values are measured in the subject at at least a first and a second time;
- b) performing a dynamic analysis using a computer system, wherein said dynamic analysis comprises fitting said series of PSA values to a functional form equation to form a fitted trend over time and calculating a characteristic of said fitted trend, wherein said characteristic reflects PSA variation;
- and
- c) estimating the probability of said prostate condition by comparing said characteristic with results based on analysis of population data.
A method for estimating the probability of a prostate condition in a subject, comprising:
- a) obtaining a series of at least two PSA values from said subject, wherein the PSA values are measured in the subject at at least two different times;
- b) performing a dynamic analysis using a computer system, wherein said dynamic analysis comprises fitting said series of PSA values to a functional form equation to form a fitted trend over time;
- c) selecting a target PSA value from said series of at least two PSA values, wherein said target PSA value was measured at a target time;
- d) calculating a trend PSA value based on said functional form equation for said target time;
- e) calculating a characteristic of said trend PSA value, wherein said characteristic reflects a comparison of said trend PSA value and said target PSA value;
- and
- f) estimating the probability of said prostate condition by comparing said characteristic of said trend PSA value with results based on analysis of population data.
A method for estimating the probability of a prostate condition in a subject, comprising:
- a) obtaining a series of at least a first and a second PSA value from said subject, wherein the PSA values are measured in the subject at at least a first and a second time;
- b) performing a dynamic analysis using a computer system, wherein said dynamic analysis comprises fitting said series of PSA values to a functional form equation to form a fitted trend over time;
- c) obtaining a third PSA value, wherein said third PSA value is measured in the subject at a third time, wherein said new time is subsequent to said at least first and second times;
- d) projecting said fitted trend using said computer system to said third time to calculate a projected PSA value at said third time;
- e) calculating a characteristic of said projected PSA value, wherein said characteristic reflects a comparison of said projected PSA value and said third PSA value;
- and
- f) estimating the probability of said prostate condition by comparing said characteristic of said projected PSA value with results based on analysis of population data.
A computer implemented method for analyzing the results of at least two PSA tests for a subject, comprising:
- a) obtaining a series of at least two PSA values from said subject, wherein the PSA values are measured in the subject at at least two different times;
- and
- b) performing a dynamic analysis using a computer system;
- wherein said dynamic analysis comprises fitting said series of PSA values to a functional form equation to form a fitted trend over time;
- wherein the functional form equation takes the form of PSA(t)=PSAn+M*eA(PSAgr*t), and wherein t is the time, PSAn is a constant reflecting baseline PSA, M is a constant multiplier, and PSAgr is a constant reflecting the exponential growth rate of PSA due to cancer;
- and
- c) outputting the fitted trend by an output device.
Dependencies are inferred from the claim text.