Methods for constructing association maps of imaging data and biological data

Abstract

A method for constructing an association map between imaging features and biological data is described. The method comprises combining one or more image features relating to a clinical subject with biological data and using an algorithm to make predictions based on the features and data.

Description

STATEMENT REGARDING GOVERNMENT INTEREST[0001]This work was supported in part by grant number 1 K08 AR050007 from the National Institute of Health. The U.S. Government has certain rights in the invention.TECHNICAL FIELD[0002]The subject matter described herein relates to methods for predicting disease risk, prognosis, and best treatment regimens in clinical subjects. The methods involve evaluating a subjects non-invasively obtained imaging features in view of an association map that correlates imaging features with biological data.BACKGROUND[0003]Scientists and clinicians routinely use non-invasive imaging to detail the physical and structural composition of living matter. Assessing the genetic and biochemical makeup of living tissue through non-invasive imaging is a desirable goal of current research. Recent development of genomic and proteomic methods have enabled molecular profiling of biological specimens by simultaneously revealing the expression level of thousands of genes and ...

AI Technical Summary

Benefits of technology

The patent describes a method for creating an association map between imaging features and biological data, such as gene or protein expression levels. This map can be used to predict the expression levels of genes or proteins in a biological sample based on the presence or absence of certain imaging features. The method can also be used to provide a treatment prognosis or likelihood of disease recurrence or metastasis based on the map. The constructed map can be useful for analyzing the relationship between imaging features and biological data, which can aid in the diagnosis and treatment of various diseases.

Problems solved by technology

Current methods of molecular profiling often require invasive surgeries for tissue procurement and specialized equipment, thus limiting its routine use.

In some cases, current profiling methods provide a single snap shot in time because they are destructive by nature in that cells must be disintegrated to extract nucleic acids or proteins for analysis.

Another barrier to wide spread use of molecular profiling is that human tissues exhibit diverse distinctive features on noninvasive radiographic imaging, many of which currently have no known significance.

Other limitations of the related art will become apparent to those of skill in the art upon a reading of the specification and a study of the drawings.

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