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The application of NCaRBS to the Trendelenburg test and total hip arthroplasty outcome.

Whatling GM, Holt CA, Beynon MJ - Ann Biomed Eng (2015)

Bottom Line: There was a clear distinction between NP and post-surgical function. 3/6 LA subjects and 6/8 PA subjects were misclassified as having NP function, implying that greater function is restored following the PA to surgery.A Neural Network with two-nodes achieved the same accuracy (65.116%) and as expected was further improved with three-nodes (69.767%).A valuable benefit to the employment of the NCaRBS technique is the graphical exposition of the contribution of patient characteristics to the classification analysis.

View Article: PubMed Central - PubMed

Affiliation: Cardiff School of Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff, CF24 3AA, UK, whatlinggm@cardiff.ac.uk.

ABSTRACT
This paper compares the frontal plane hip function of subject's known to have had hip arthroplasty via either the lateral (LA) or posterior (PA) surgical approaches and a group of subjects associated with no pathology (NP). This is investigated through the Trendelenburg test using 3D motion analysis and classification. Here, a recent development on the Classification and Ranking Belief Simplex (CaRBS) technique, able to undertake n-state classification, so termed NCaRBS is employed. The relationship between post-operative hip function measured during a Trendelenburg Test using three patient characteristics (pelvic obliquity, frontal plane hip moment and frontal plane hip power) of LA, PA and NP subjects are modelled together. Using these characteristics, the classification accuracy was 93.75% for NP, 57.14% for LA, 38.46% for PA. There was a clear distinction between NP and post-surgical function. 3/6 LA subjects and 6/8 PA subjects were misclassified as having NP function, implying that greater function is restored following the PA to surgery. NCaRBS achieved a higher accuracy (65.116%) than through a linear discriminant analysis (48.837%). A Neural Network with two-nodes achieved the same accuracy (65.116%) and as expected was further improved with three-nodes (69.767%). A valuable benefit to the employment of the NCaRBS technique is the graphical exposition of the contribution of patient characteristics to the classification analysis.

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Related in: MedlinePlus

Predicted surgical type associations of subjects by dominant association, who’s actual associations are (a) LA, (b) PA and (c) NP
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Fig2: Predicted surgical type associations of subjects by dominant association, who’s actual associations are (a) LA, (b) PA and (c) NP

Mentions: Figure 2 shows the predicted associations of subjects to the three surgery types, LA, PA and NP, using the triplets of pignistic probability values, in vector form, [BetPi(LA), BetPi(PA), BetPi(NP)]. The three simplex plots presented show subjects’ predicted associations in the form of their respective simplex coordinates, grouped by their known actual surgery type (LA, PA or NP), with the grey shaded regions showing, for an object, where there would be predominance to the correct surgery type (for example a subject known to be associated with surgery type LA would be correctly classified if their prediction value was in the bottom left corner of the simplex plot).Figure 2


The application of NCaRBS to the Trendelenburg test and total hip arthroplasty outcome.

Whatling GM, Holt CA, Beynon MJ - Ann Biomed Eng (2015)

Predicted surgical type associations of subjects by dominant association, who’s actual associations are (a) LA, (b) PA and (c) NP
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4338365&req=5

Fig2: Predicted surgical type associations of subjects by dominant association, who’s actual associations are (a) LA, (b) PA and (c) NP
Mentions: Figure 2 shows the predicted associations of subjects to the three surgery types, LA, PA and NP, using the triplets of pignistic probability values, in vector form, [BetPi(LA), BetPi(PA), BetPi(NP)]. The three simplex plots presented show subjects’ predicted associations in the form of their respective simplex coordinates, grouped by their known actual surgery type (LA, PA or NP), with the grey shaded regions showing, for an object, where there would be predominance to the correct surgery type (for example a subject known to be associated with surgery type LA would be correctly classified if their prediction value was in the bottom left corner of the simplex plot).Figure 2

Bottom Line: There was a clear distinction between NP and post-surgical function. 3/6 LA subjects and 6/8 PA subjects were misclassified as having NP function, implying that greater function is restored following the PA to surgery.A Neural Network with two-nodes achieved the same accuracy (65.116%) and as expected was further improved with three-nodes (69.767%).A valuable benefit to the employment of the NCaRBS technique is the graphical exposition of the contribution of patient characteristics to the classification analysis.

View Article: PubMed Central - PubMed

Affiliation: Cardiff School of Engineering, Cardiff University, Queen's Buildings, The Parade, Cardiff, CF24 3AA, UK, whatlinggm@cardiff.ac.uk.

ABSTRACT
This paper compares the frontal plane hip function of subject's known to have had hip arthroplasty via either the lateral (LA) or posterior (PA) surgical approaches and a group of subjects associated with no pathology (NP). This is investigated through the Trendelenburg test using 3D motion analysis and classification. Here, a recent development on the Classification and Ranking Belief Simplex (CaRBS) technique, able to undertake n-state classification, so termed NCaRBS is employed. The relationship between post-operative hip function measured during a Trendelenburg Test using three patient characteristics (pelvic obliquity, frontal plane hip moment and frontal plane hip power) of LA, PA and NP subjects are modelled together. Using these characteristics, the classification accuracy was 93.75% for NP, 57.14% for LA, 38.46% for PA. There was a clear distinction between NP and post-surgical function. 3/6 LA subjects and 6/8 PA subjects were misclassified as having NP function, implying that greater function is restored following the PA to surgery. NCaRBS achieved a higher accuracy (65.116%) than through a linear discriminant analysis (48.837%). A Neural Network with two-nodes achieved the same accuracy (65.116%) and as expected was further improved with three-nodes (69.767%). A valuable benefit to the employment of the NCaRBS technique is the graphical exposition of the contribution of patient characteristics to the classification analysis.

Show MeSH
Related in: MedlinePlus