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The simplest method to classify CAM lesions

CAM lesions are now seen as a significant pathology that could cause osteoarthritis of the hip joint. Currently there is no gold standard for classifying these lesions. We aim to show a simple method for classifying these lesions based on shape and position. Using CT 3D reconstruction, 91 preoperati...

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Autores principales: Plastow, Ricci, Hakim, Zuned, Fehily, Max, Wall, Alun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5761223/
https://www.ncbi.nlm.nih.gov/pubmed/29340163
http://dx.doi.org/10.1093/jhps/hnw031
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author Plastow, Ricci
Hakim, Zuned
Fehily, Max
Wall, Alun
author_facet Plastow, Ricci
Hakim, Zuned
Fehily, Max
Wall, Alun
author_sort Plastow, Ricci
collection PubMed
description CAM lesions are now seen as a significant pathology that could cause osteoarthritis of the hip joint. Currently there is no gold standard for classifying these lesions. We aim to show a simple method for classifying these lesions based on shape and position. Using CT 3D reconstruction, 91 preoperative CT scans from patients who had undergone hip arthroscopy for femoroacetabular impingement, were reconstructed to produce 3D images. Two senior hip surgeons have devised a simple four type classification system from previous experience. The system highlights the position and shape of different CAM lesions present in patients. The two senior surgeons and one junior surgeon reviewed the scans individually to assess whether the system could be used at all levels of surgical experience. The two senior surgeons agreed on which type of CAM lesion was present in all 91 cases. Intra observer reliability scores for the senior surgeons were 0.90 and 0.91. The junior surgeon reviewed the scans and disagreed on eight cases. This gave a Kappa co-efficient score of 0.87, which confirms a reliable system. We believe this classification system is simple and reproducible. It will aid surgeons in pre and intra-operative management of CAM lesions. Surgeons will be able to select the optimal portal placement and resect less capsule depending on the exact CAM lesion identified. This will potentially reduce complications and improve outcomes in junior hip arthroscopy surgeons.
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spelling pubmed-57612232018-01-16 The simplest method to classify CAM lesions Plastow, Ricci Hakim, Zuned Fehily, Max Wall, Alun J Hip Preserv Surg Research Articles CAM lesions are now seen as a significant pathology that could cause osteoarthritis of the hip joint. Currently there is no gold standard for classifying these lesions. We aim to show a simple method for classifying these lesions based on shape and position. Using CT 3D reconstruction, 91 preoperative CT scans from patients who had undergone hip arthroscopy for femoroacetabular impingement, were reconstructed to produce 3D images. Two senior hip surgeons have devised a simple four type classification system from previous experience. The system highlights the position and shape of different CAM lesions present in patients. The two senior surgeons and one junior surgeon reviewed the scans individually to assess whether the system could be used at all levels of surgical experience. The two senior surgeons agreed on which type of CAM lesion was present in all 91 cases. Intra observer reliability scores for the senior surgeons were 0.90 and 0.91. The junior surgeon reviewed the scans and disagreed on eight cases. This gave a Kappa co-efficient score of 0.87, which confirms a reliable system. We believe this classification system is simple and reproducible. It will aid surgeons in pre and intra-operative management of CAM lesions. Surgeons will be able to select the optimal portal placement and resect less capsule depending on the exact CAM lesion identified. This will potentially reduce complications and improve outcomes in junior hip arthroscopy surgeons. Oxford University Press 2016-10-18 /pmc/articles/PMC5761223/ /pubmed/29340163 http://dx.doi.org/10.1093/jhps/hnw031 Text en © The Author 2016. Published by Oxford University Press http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Articles
Plastow, Ricci
Hakim, Zuned
Fehily, Max
Wall, Alun
The simplest method to classify CAM lesions
title The simplest method to classify CAM lesions
title_full The simplest method to classify CAM lesions
title_fullStr The simplest method to classify CAM lesions
title_full_unstemmed The simplest method to classify CAM lesions
title_short The simplest method to classify CAM lesions
title_sort simplest method to classify cam lesions
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5761223/
https://www.ncbi.nlm.nih.gov/pubmed/29340163
http://dx.doi.org/10.1093/jhps/hnw031
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