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Volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear

Osteolysis, which is considered to be a major source of morbidity following total hip joint replacement, has been notoriously difficult to measure accurately, particularly in the acetabular area. In order to study periacetabular osteolysis, specialized software for computerized tomography (CT) scan...

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Autores principales: Looney, R John, Boyd, Allen, Totterman, Saara, Seo, Gwy-Suk, Tamez-Pena, Jose, Campbell, Debbie, Novotny, Leonore, Olcott, Christopher, Martell, John, Hayes, F Ann, O'Keefe, Regis J, Schwarz, Edward M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC64853/
https://www.ncbi.nlm.nih.gov/pubmed/11879538
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author Looney, R John
Boyd, Allen
Totterman, Saara
Seo, Gwy-Suk
Tamez-Pena, Jose
Campbell, Debbie
Novotny, Leonore
Olcott, Christopher
Martell, John
Hayes, F Ann
O'Keefe, Regis J
Schwarz, Edward M
author_facet Looney, R John
Boyd, Allen
Totterman, Saara
Seo, Gwy-Suk
Tamez-Pena, Jose
Campbell, Debbie
Novotny, Leonore
Olcott, Christopher
Martell, John
Hayes, F Ann
O'Keefe, Regis J
Schwarz, Edward M
author_sort Looney, R John
collection PubMed
description Osteolysis, which is considered to be a major source of morbidity following total hip joint replacement, has been notoriously difficult to measure accurately, particularly in the acetabular area. In order to study periacetabular osteolysis, specialized software for computerized tomography (CT) scan image analysis has been developed. This software (3D-CT) eliminates metal artifacts, allows three-dimensional segmentation of the CT image, and reconstructs the segmented image to provide an accurate representation and measurement of volume for osteolytic lesions. In the present study, 20 patients underwent periacetabular osteolytic volume determination using 3D-CT, functional assessment (using the Harris Hip Scale, the Western Ontario and McMaster University Osteoarthritis Index, and the short form 36 questionnaire), and two-dimensional analysis of volumetic polyethylene wear using digitalized plain films. Periacetabular osteolysis correlated directly with the polyethylene wear rate (relative risk [RR] = 0.494, P = 0.027). If one patient with an acetabular revision, one patient with recurrent dislocation, and one patient with a Biomet prosthesis are excluded, then the correlation between wear and osteolysis is improved (RR = 0.685, P = 0.002). In summary, the current study demonstrates both the feasibility of CT imaging of periacetabular osteolysis and the correlation between polyethylene wear and osteolytic volume, providing a potential outcome measure for clinical trials that are designed to examine interventions in this complex disease process.
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spelling pubmed-648532002-01-25 Volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear Looney, R John Boyd, Allen Totterman, Saara Seo, Gwy-Suk Tamez-Pena, Jose Campbell, Debbie Novotny, Leonore Olcott, Christopher Martell, John Hayes, F Ann O'Keefe, Regis J Schwarz, Edward M Arthritis Res Research Article Osteolysis, which is considered to be a major source of morbidity following total hip joint replacement, has been notoriously difficult to measure accurately, particularly in the acetabular area. In order to study periacetabular osteolysis, specialized software for computerized tomography (CT) scan image analysis has been developed. This software (3D-CT) eliminates metal artifacts, allows three-dimensional segmentation of the CT image, and reconstructs the segmented image to provide an accurate representation and measurement of volume for osteolytic lesions. In the present study, 20 patients underwent periacetabular osteolytic volume determination using 3D-CT, functional assessment (using the Harris Hip Scale, the Western Ontario and McMaster University Osteoarthritis Index, and the short form 36 questionnaire), and two-dimensional analysis of volumetic polyethylene wear using digitalized plain films. Periacetabular osteolysis correlated directly with the polyethylene wear rate (relative risk [RR] = 0.494, P = 0.027). If one patient with an acetabular revision, one patient with recurrent dislocation, and one patient with a Biomet prosthesis are excluded, then the correlation between wear and osteolysis is improved (RR = 0.685, P = 0.002). In summary, the current study demonstrates both the feasibility of CT imaging of periacetabular osteolysis and the correlation between polyethylene wear and osteolytic volume, providing a potential outcome measure for clinical trials that are designed to examine interventions in this complex disease process. BioMed Central 2002 2001-10-03 /pmc/articles/PMC64853/ /pubmed/11879538 Text en Copyright © 2001 Looney et al, licensee BioMed Central Ltd
spellingShingle Research Article
Looney, R John
Boyd, Allen
Totterman, Saara
Seo, Gwy-Suk
Tamez-Pena, Jose
Campbell, Debbie
Novotny, Leonore
Olcott, Christopher
Martell, John
Hayes, F Ann
O'Keefe, Regis J
Schwarz, Edward M
Volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear
title Volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear
title_full Volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear
title_fullStr Volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear
title_full_unstemmed Volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear
title_short Volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear
title_sort volumetric computerized tomography as a measurement of periprosthetic acetabular osteolysis and its correlation with wear
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC64853/
https://www.ncbi.nlm.nih.gov/pubmed/11879538
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