2014
DOI: 10.1177/0309364613490442
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Prediction of the skeletal medio-lateral dimension using non-invasive anthropometric measurements for the provision of ischial containment sockets

Abstract: 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,… Show more

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Cited by 1 publication
(14 citation statements)
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“…While the regression model was able to explain 59 percent of the variance in the Skeletal ML, only sex contributed significantly to the prediction [4]. The standard error associated with the prediction was 9 mm [4].…”
Section: Introductionmentioning
confidence: 85%
See 4 more Smart Citations
“…While the regression model was able to explain 59 percent of the variance in the Skeletal ML, only sex contributed significantly to the prediction [4]. The standard error associated with the prediction was 9 mm [4].…”
Section: Introductionmentioning
confidence: 85%
“…One of the most important measurements is the "Skeletal Medial-Lateral (ML)" because it defines the ML dimension of the socket brim that intimately encapsulates the pelvis and provides the necessary coronal plane stability to the remnant femur and pelvis that enables comfortable and effective gait [4][5][6][7][8]. Specifically, the Skeletal ML describes the coronal plane distance Abbreviations: ASIS = anterior superior iliac spine, BMI = body mass index, CT = computed tomography, GT = greater trochanter, ICC = intraclass correlation coefficient, ML = mediallateral, PSIS = posterior superior iliac spine, SEE = standard error of estimate, TEM = technical error of measurement.…”
Section: Introductionmentioning
confidence: 99%
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