2006
DOI: 10.1097/01.brs.0000248414.62802.42
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Cluster Analysis as a Method for Determining Size Ranges for Spinal Implants: Disc Lumbar Replacement Prosthesis Dimensions from Magnetic Resonance Images

Abstract: Cluster analysis has been successfully used to find the dimensions of the minimum number of prosthesis sizes required to replace L3-L4 to L5-S1 discs; the range of sizes would enable them to be used at higher lumbar levels in some patients.

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Cited by 5 publications
(2 citation statements)
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“…Discriminant analysis is a multivariate statistical method that can distinguish newly acquired samples according to the quantitative characteristics of an existing set of observed samples. 12 In the present paper, we utilized discriminant analysis to determine how well the clustering analysis was able to classify the TMJs based on shape. One important metric for evaluating such classification results is the proportion correct.…”
Section: Methodsmentioning
confidence: 99%
“…Discriminant analysis is a multivariate statistical method that can distinguish newly acquired samples according to the quantitative characteristics of an existing set of observed samples. 12 In the present paper, we utilized discriminant analysis to determine how well the clustering analysis was able to classify the TMJs based on shape. One important metric for evaluating such classification results is the proportion correct.…”
Section: Methodsmentioning
confidence: 99%
“…With respect to the biomechanical specifications, based on our study, the implant should meet the following requirements: Adapts the equations of the movement of the intact ICR of the joint to the post-surgical ICR [3 , 88] Behaves as a shock absorbing mechanism [58] Allows the load absorption within the implant so that adjacent levels do not overload [11] Biocompatible [37] Low implant wear [104] Different sizes to adapt to different patient geometries [59] Non-complex geometry in order to be readily manufactured [90] …”
Section: Discussionmentioning
confidence: 99%