A Classifier for the Categorization of Thumb Carpometacarpal Osteoarthritis

This is Amy Morton On behalf of my co authors,

Brown Medical School, Rhode Island Hospital in Stanford School of

Medicine would like to present a classifier for the categorization

of thumb carpal metacarpal osteoarthritis.

Some seems you A is a disease of bone cartilage.

Symptoms include pain and impairment in the base of the

thumb. Using CT scans, we can quantify bone pathology and

look at relative cinematics of the joint.

Seems you A.

Is a disease that progresses and has highly individualized rates

of progression, one of the metrics associated with away Austro

fight volume.

Recently, we have come up with a method to quantify

Oster fight volume, using that as a surrogate for a

metric of disease progression.

Another factor associated with away is joint model alignment or

subluxation. Using articular surface curvature based coordinate systems, we can

compute relative positions of the metacarpal from the trapeze IAM

and analyzed these in three D or in anatomical directions.

Using longitudinal data captured over a course of six years,

with patients presenting with osteoarthritis as well as an age

matched cohort, we can investigate and classify away using these

metrics. Competing Austria fight balling for every individual at every

time point.

We can then use absolute magnitude and the rate of

progression as specified by linear regression within a subject.

To then classify our away individuals into an advanced or

stable cohort using linear mixed models with random interception slope,

weaken. Then analyze the regression of the advanced away category

versus the that of stable away and compare that as

well to the control covert.

Note the significance in both starting baseline value of our

study as well.

A ce the slope between advanced away as well, a

stable and control using the same metrics.

We can then investigate the differences as observed in dorsal

subluxation over time.

Advanced category endorses subluxation as measured in the flexion position

had a very significant difference in both.

Intercept in both are starting value of dorsal subluxation and

the rate of dorsal subluxation.

Over time, similar trends were observed in six of 11

of R C T positions, grasps, grass, loaded, pinch loaded

induction and abduction.

This classifications metrics and our initial findings can be important.

Stepping stones in a heterogeneous point patient population.

Thank you

A Classifier for the Categorization of Thumb Carpometacarpal Osteoarthritis

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