Methods of predicting musculoskeletal disease

• US 20040242987A1
• Filed: 01/07/2004
• Published: 12/02/2004
• Est. Priority Date: 09/16/2002
• Status: Active Grant

• Current Assignee: Imatx, Inc. (Conformis Incorporated)
• Original Assignee: Imaging Therapeutics, Inc. (Conformis Incorporated)
• Inventors: Liew, Siau-Way, Lang, Philipp, Steines, Daniel
• Granted Patent: US 7,840,247 B2
• Time in Patent Office: Days
• US Class Current: 600/407
• CPC Class Codes: A61B 6/482 involving multiple energy imaging
• CPC Class Codes: A61B 6/505 for diagnosis of bone
• CPC Class Codes: A61B 6/5217 extracting a diagnostic or physiological parameter from medical diagnostic data
• CPC Class Codes: A61B 6/583 using calibration phantoms
• CPC Class Codes: A61B 8/0875 for diagnosis of bone A61B5/4504 takes precedence
• CPC Class Codes: A61B 8/5223 for extracting a diagnostic or physiological parameter from medical diagnostic data for algorithms to analyse biomedical images G06T7/0012
• CPC Class Codes: G06T 2200/04 involving 3D image data
• CPC Class Codes: G06T 2207/20104 Interactive definition of region of interest [ROI]
• CPC Class Codes: G06T 2207/30008 Bone
• CPC Class Codes: G06T 5/00 Image enhancement or restoration
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment

Abstract

This invention is directed to methods of predicting bone or joint disease in a subject. The invention is also directed to methods of determining the effect of a candidate agent on any subject'"'"'s risk of developing bone or joint disease.

Claims

1. A method of predicting bone or articular disease in a subject, the method comprising the steps of:

determining one or more micro-structural parameters, one or more macroanatomical parameters or biomechanical parameters of a joint in said subject; and

combining at least two of said parameters to predict the risk of bone or articular disease.

2. The method of claim 1, wherein said combining comprises combining one or more micro-structural parameters and one or more macro-anatomical parameters.

3. The method of claim 1, wherein said combining comprises combining one or more micro-structural parameters and one or more biomechanical parameters.

4. The method of claim 1, wherein said combining comprises combining one or more macroanatomical parameters and one or more biomechanical parameters.

5. The method of claim 1, wherein said combining comprises combining one or more macroanatomical parameters, one or more micro-structural parameters and one or more biomechanical parameters.

6. The method of claim 1, wherein said bone or articular disease is fracture risk.

7. The method of claim 1, wherein the parameters are obtained from one or more regions of interest in an image obtained from said subject.

8. The method of claim 7, wherein the image comprises a calibration phantom.

9. The method of claim 1, wherein said parameters are selected from the group consisting of one or more of the parameters set forth in Tables 1, 2 and 3.

10. The method of claim 1, wherein said combining comprises univariate, bivariate or multivariate statistical analysis.

11. The method of claim 1, further comprising comparing said parameters to data derived from a reference database of known disease parameters.

12. The method of claim 1, wherein the bone is in a region selected from the group consisting of leg, knee, hip, spine and arm.

13. The method of claim 7, wherein the image is selected from the group consisting of an x-ray image, a CT image, an ultrasound image and an MRI.

14. The method of claim 1, further comprising administering a compound to the subject.

15. The method of claim 14, wherein the steps are repeated at two or more time points and further wherein one time point is prior to administration of the compound.

16. A method of determining the effect of a candidate agent on a subject'"'"'s prognosis for musculoskeletal disease comprising:

predicting a first risk of musculoskeletal disease in subject according to the method of claim 1;

administering a candidate agent to said subject;

predicting a second risk of said musculoskeletal disease in said subject according to the method of claim 1;

and

comparing said first and second risks, thereby determining the effect of the candidate on the subject'"'"'s prognosis for said disease.

17. The method of claim 16, wherein said candidate agent is administered to the subject.

18. The method of claim 16, wherein said administration comprises ingestion or injection.

19. The method of claim 16, wherein said candidate agent is selected from the group consisting of molecules, pharmaceuticals, biopharmaceuticals, agropharmaceuticals and combinations thereof.