Use of Morphometry to Quantify Osteolysis after Total Hip Arthroplasty View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-11

AUTHORS

Lindsay K. Smith, Fiona Cramp, Shea Palmer, Nikki Coghill, Robert F. Spencer

ABSTRACT

BACKGROUND: Progressive osteolysis threatens the longevity of hip arthroplasties and radiographic review is recommended. Measurement of osteolytic lesions in a clinical setting has not been achieved easily in the past. Other radiologic investigations provide accurate information but cost and risk to the patient prohibit their use in routine review. QUESTIONS/PURPOSES: We developed a simple, reliable tool to be used in hip arthroplasty review to quantify osteolytic changes seen on plain film radiographs. METHODS: A morphometric grid was developed and tested on simulated and actual osteolytic lesions. Four health professionals measured lesions on each of two occasions. Intraclass correlation coefficients (ICC) for interobserver and intraobserver reliabilities were calculated and Bland-Altman plots were constructed for graphic analysis. RESULTS: The ICCs for interobserver reliability on the simulated and actual osteolytic lesions were in the range 0.90 to 0.96. The values for intraobserver (test-retest) reliability were 0.97 to 0.98. The Bland-Altman plots confirmed agreement and in each case, proximity of the mean to zero indicated no significant bias. CONCLUSIONS: The data show a morphometric grid is reliable for measuring osteolytic changes after hip arthroplasty. CLINICAL RELEVANCE: This tool has potential to improve monitoring processes for hip arthroplasty and to be useful in future research studies. Additional work is needed to test for validity and clinical importance of the measurements obtained. More... »

PAGES

3077-3083

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11999-010-1377-6

DOI

http://dx.doi.org/10.1007/s11999-010-1377-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000229671

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20461482


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11999-010-1377-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11999-010-1377-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11999-010-1377-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11999-010-1377-6'


 

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