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Prediction of the skeletal medio-lateral dimension using non-invasive anthropometric measurements for the provision of ischial containment sockets

Great emphasis is placed on the skeletal medio-lateral to maintain
the normal adduction of the remnant femur and to ensure coronal plane stability
in an ischial containment socket. Given the invasiveness of the skeletal
medio-lateral measurement, an alternative approach using prediction based on
non-invasive measures would be welcomed. OBJECTIVES: Determine the accuracy with
which the skeletal medio-lateral dimension could be predicted using sex, stature,
anterior-posterior dimension and iliofemoral angle. STUDY DESIGN:
Cross-sectional. METHOD: Anthropometric measurements on 77 persons were recorded
and used as input data into a standard multiple regression. RESULTS: The
regression model explained 59% of the variance in skeletal medio-lateral (r(2) =
0.59) that was statistically significant (F(4,72) = 25.37, p = 0.000). Only sex
contributed significantly to the prediction of skeletal medio-lateral (beta =
0.67, t = 6.15, p = 0.00). The degree of error associated with the regression
model (sum of squared errors = 0.009) indicated that the actual skeletal
medio-lateral could be predicted within +/-18 mm in 95% of the cases. CONCLUSION:
The regression model is not sufficiently accurate to predict skeletal
medio-lateral for clinical purposes. Accuracy of the prediction could be improved
with more accurate input data from computed tomography scans and use of other
independent variables that explain the unique variance not already described by
the participants' sex. Clinical relevance This pilot study demonstrates potential
for the skeletal medio-lateral to be predicted using non-invasive anthropometric
measurements. Given this proof of concept, future investigators should use more
accurate input data from computed tomography scans and identify alternative
independent variables that explain the variance in the skeletal medio-lateral not
attributable to sex.

Langue : ANGLAIS

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