System and Method for Integrated Quantifiable Detection, Diagnosis and Monitoring of Disease using Patient Related Time Trend Data

Abstract

A variety of systems, methods, and articles of manufacture are disclosed. An example includes accessing of patient deviation scores indicative of differences between patient data and reference data representative of a population segment, wherein the patient deviation scores are derived from longitudinal data of the patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data; identifying a trend in the patient deviation scores for at least one clinical parameter; generating of a report including a visual indication of the trend; and outputting of the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.

1 . An apparatus comprising:
 a processor particularly configured to:   calculate a plurality of deviation scores (Z-scores) for each parameter based on the patient population, each z-score determined based on a deviation between a value for the parameter measured from the patient population and a reference value for the parameter from a reference population;   calculate a time trend score (T-score) for each parameter from the plurality of Z-scores over time;   calculate a distribution score (DT-score) as a distribution on the T-score for each parameter based on a respective shift in the patient population from the reference population for the respective parameter; and   visualize the DT-score via a graphical interface DT viewer on a display, the visualizing including a graphical visualization of parameter shift from the patient population to the reference population based on the DT-score, the visualization of the DT-score providing a visualization of the disease signature for the patient population.   
     
     
         2 . The apparatus of  claim 1 , wherein the DT viewer provides a graphical visualization of parameter shift with respect to brain image information in the patient population. 
     
     
         3 . The apparatus of  claim 1 , wherein the plurality of parameters include image-related parameters and non-image related parameters. 
     
     
         4 . The apparatus of  claim 1 , wherein the processor is configured to identify one or more of the plurality of parameters as one or more parameters of interest and to weigh the one or more parameters of interest more than the remaining of the plurality of parameters. 
     
     
         5 . The apparatus of  claim 4 , wherein the DT viewer is to highlight the one or more parameters of interest in contrast to the remaining one or more parameters. 
     
     
         6 . The apparatus of  claim 1 , wherein the graphical visualization of parameter shift includes a color-based graphical visualization. 
     
     
         7 . The apparatus of  claim 1 , wherein the processor is further configured to feed information from the graphical interface DT viewer into a T viewer, wherein the T viewer is to monitor disease progression over time for a particular patient in the patient population based on the disease signature. 
     
     
         8 . The apparatus of  claim 7 , wherein the processor is further configured to form a disease profile from a sequence of the disease signature over time. 
     
     
         9 . The apparatus of  claim 7 , wherein the processor is further configured to provide feedback to the DT viewer based on interaction with the T viewer and updating the T viewer based on changes in the DT viewer. 
     
     
         10 . A method comprising:
 calculating, using a processor, a plurality of deviation scores (Z-scores) for each parameter based on the patient population, each z-score determined based on a deviation between a value for the parameter measured from the patient population and a reference value for the parameter from a reference population;   calculating, using the processor, a time trend score (T-score) for each parameter from the plurality of Z-scores over time;   calculating, using the processor, a distribution score (DT-score) as a distribution on the T-score for each parameter based on a respective shift in the patient population from the reference population for the respective parameter; and   visualizing, using the processor, the DT-score via a graphical interface DT viewer on a display, the visualizing including a graphical visualization of parameter shift from the patient population to the reference population based on the DT-score, the visualization of the DT-score providing a visualization of the disease signature for the patient population.   
     
     
         11 . The method of  claim 10 , wherein the plurality of parameters include image-related parameters and non-image related parameters. 
     
     
         12 . The method of  claim 10 , further including:
 identifying one or more of the plurality of parameters as one or more parameters of interest; and   weighing the one or more parameters of interest more than the remaining of the plurality of parameters.   
     
     
         13 . The method of  claim 12 , further including: highlighting, via the DT viewer, the one or more parameters of interest in contrast to the remaining one or more parameters. 
     
     
         14 . The method of  claim 10 , wherein the graphical visualization of parameter shift includes a color-based graphical visualization. 
     
     
         15 . The method of  claim 10 , further including:
 feeding information from the graphical interface DT viewer into a T viewer; and   monitoring, via the T viewer, disease progression over time for a particular patient in the patient population based on the disease signature.   
     
     
         16 . The method of  claim 15 , wherein the processor is further configured to form a disease profile from a sequence of the disease signature over time. 
     
     
         17 . The method of  claim 15 , further including: providing feedback to the DT viewer based on interaction with the T viewer and updating the T viewer based on changes in the DT viewer. 
     
     
         18 . A non-transitory computer-readable medium including instructions which, when executed by a processor, cause the processor to:
 calculate a plurality of deviation scores (Z-scores) for each parameter based on the patient population, each z-score determined based on a deviation between a value for the parameter measured from the patient population and a reference value for the parameter from a reference population;   calculate a time trend score (T-score) for each parameter from the plurality of Z-scores over time;   calculate a distribution score (DT-score) as a distribution on the T-score for each parameter based on a respective shift in the patient population from the reference population for the respective parameter across the plurality of parameter T scores to generate a disease signature from the patient population; and   visualize the DT-score via a graphical interface DT viewer on a display, the visualizing including a graphical visualization of parameter shift from the patient population to the reference population based on the DT-score, the visualization of the DT-score providing a visualization of the disease signature for the patient population.   
     
     
         19 . The computer-readable medium of  claim 18 , wherein the instructions further cause the processor to:
 feed information from the graphical interface DT viewer into a T viewer; and   monitor, via the T viewer, disease progression over time for a particular patient in the patient population based on the disease signature.   
     
     
         20 . The computer-readable medium of  claim 10 , wherein the instructions further cause the processor to form a disease profile from a sequence of the disease signature over time.