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Three-Dimensional Preoperative Planning Software for Hip Resurfacing Arthroplasty

Three-dimensional planning of hip arthroplasty is associated with better visualisation of anatomical landmarks and enhanced mapping for preoperative implant sizing, which can lead to a decrease in surgical time and complications. Despite the advantages of hip resurfacing arthroplasty (HRA), it is co...

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Autores principales: Alagha, M. Abdulhadi, Logishetty, Kartik, O’Hanlon, Ciaran, Liddle, Alexander D., Cobb, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451941/
https://www.ncbi.nlm.nih.gov/pubmed/37627824
http://dx.doi.org/10.3390/bioengineering10080939
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author Alagha, M. Abdulhadi
Logishetty, Kartik
O’Hanlon, Ciaran
Liddle, Alexander D.
Cobb, Justin
author_facet Alagha, M. Abdulhadi
Logishetty, Kartik
O’Hanlon, Ciaran
Liddle, Alexander D.
Cobb, Justin
author_sort Alagha, M. Abdulhadi
collection PubMed
description Three-dimensional planning of hip arthroplasty is associated with better visualisation of anatomical landmarks and enhanced mapping for preoperative implant sizing, which can lead to a decrease in surgical time and complications. Despite the advantages of hip resurfacing arthroplasty (HRA), it is considered a technically challenging procedure and associated with inaccurate implant placement. This study aimed to examine the validity, reliability, and usability of preoperative 3D Hip Planner software for HRA. Fifty random cases of various hip osteoarthritis severity were planned twice by two junior trainees using the 3D Hip Planner within a one-month interval. Outcome measures included femoral/cup implant size, stem-shaft angle, and cup inclination angle, and were assessed by comparing outcomes from 2D and 3D planning. An adapted unified theory of acceptance and use of technology (UTAUT) survey was used for software usability. Bland–Altman plots between 3D and 2D planning for stem-shaft and inclination angles showed mean differences of 0.7 and −0.6, respectively (r = 0.93, p < 0.001). Stem-shaft and inclination angles showed inter-rater reliability biases of around −2° and 3°, respectively. Chi-square and Pearson’s correlation for femoral implant size showed a significant association between the two assessors (r = 0.91, p < 0.001). The 3D test–retest coefficient of repeatability for stem-shaft and inclination angles were around ±2° and ±3°, respectively, with a strong significant association for femoral implant size (r = 0.98, p < 0.001). Survey analyses showed that 70–90% agreed that 3D planning improved expectancy in four domains. 3D hip planner appears to be valid and reliable in preoperative HRA and shows significant potential in optimising the quality and accuracy of surgical planning.
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spelling pubmed-104519412023-08-26 Three-Dimensional Preoperative Planning Software for Hip Resurfacing Arthroplasty Alagha, M. Abdulhadi Logishetty, Kartik O’Hanlon, Ciaran Liddle, Alexander D. Cobb, Justin Bioengineering (Basel) Brief Report Three-dimensional planning of hip arthroplasty is associated with better visualisation of anatomical landmarks and enhanced mapping for preoperative implant sizing, which can lead to a decrease in surgical time and complications. Despite the advantages of hip resurfacing arthroplasty (HRA), it is considered a technically challenging procedure and associated with inaccurate implant placement. This study aimed to examine the validity, reliability, and usability of preoperative 3D Hip Planner software for HRA. Fifty random cases of various hip osteoarthritis severity were planned twice by two junior trainees using the 3D Hip Planner within a one-month interval. Outcome measures included femoral/cup implant size, stem-shaft angle, and cup inclination angle, and were assessed by comparing outcomes from 2D and 3D planning. An adapted unified theory of acceptance and use of technology (UTAUT) survey was used for software usability. Bland–Altman plots between 3D and 2D planning for stem-shaft and inclination angles showed mean differences of 0.7 and −0.6, respectively (r = 0.93, p < 0.001). Stem-shaft and inclination angles showed inter-rater reliability biases of around −2° and 3°, respectively. Chi-square and Pearson’s correlation for femoral implant size showed a significant association between the two assessors (r = 0.91, p < 0.001). The 3D test–retest coefficient of repeatability for stem-shaft and inclination angles were around ±2° and ±3°, respectively, with a strong significant association for femoral implant size (r = 0.98, p < 0.001). Survey analyses showed that 70–90% agreed that 3D planning improved expectancy in four domains. 3D hip planner appears to be valid and reliable in preoperative HRA and shows significant potential in optimising the quality and accuracy of surgical planning. MDPI 2023-08-07 /pmc/articles/PMC10451941/ /pubmed/37627824 http://dx.doi.org/10.3390/bioengineering10080939 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Alagha, M. Abdulhadi
Logishetty, Kartik
O’Hanlon, Ciaran
Liddle, Alexander D.
Cobb, Justin
Three-Dimensional Preoperative Planning Software for Hip Resurfacing Arthroplasty
title Three-Dimensional Preoperative Planning Software for Hip Resurfacing Arthroplasty
title_full Three-Dimensional Preoperative Planning Software for Hip Resurfacing Arthroplasty
title_fullStr Three-Dimensional Preoperative Planning Software for Hip Resurfacing Arthroplasty
title_full_unstemmed Three-Dimensional Preoperative Planning Software for Hip Resurfacing Arthroplasty
title_short Three-Dimensional Preoperative Planning Software for Hip Resurfacing Arthroplasty
title_sort three-dimensional preoperative planning software for hip resurfacing arthroplasty
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451941/
https://www.ncbi.nlm.nih.gov/pubmed/37627824
http://dx.doi.org/10.3390/bioengineering10080939
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