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Humeral Head Reconstruction With Osteochondral Allograft: Bone Plug Optimization for Hill-Sachs Lesions Using CT-Based Computer Modeling Analysis

BACKGROUND: Engaging Hill-Sachs lesions (HSLs) pose a significant risk for failure of surgical repair of recurrent anterior shoulder instability. Reconstruction with fresh osteochondral allograft (OCA) has been proposed as a treatment for large HSLs. PURPOSE: To determine the optimal characteristics...

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Autores principales: Ganokroj, Phob, Hollenbeck, Justin, Peebles, Annalise M., Brown, Justin R., Hanson, Jared A., Whalen, Ryan J., Golijanin, Petar, Provencher, CAPT Matthew T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483980/
https://www.ncbi.nlm.nih.gov/pubmed/37693809
http://dx.doi.org/10.1177/23259671231193768
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author Ganokroj, Phob
Hollenbeck, Justin
Peebles, Annalise M.
Brown, Justin R.
Hanson, Jared A.
Whalen, Ryan J.
Golijanin, Petar
Provencher, CAPT Matthew T.
author_facet Ganokroj, Phob
Hollenbeck, Justin
Peebles, Annalise M.
Brown, Justin R.
Hanson, Jared A.
Whalen, Ryan J.
Golijanin, Petar
Provencher, CAPT Matthew T.
author_sort Ganokroj, Phob
collection PubMed
description BACKGROUND: Engaging Hill-Sachs lesions (HSLs) pose a significant risk for failure of surgical repair of recurrent anterior shoulder instability. Reconstruction with fresh osteochondral allograft (OCA) has been proposed as a treatment for large HSLs. PURPOSE: To determine the optimal characteristics of talus OCA bone plugs in a computer-simulated HSL model. STUDY DESIGN: Descriptive laboratory study; Level of evidence, 6 METHODS: Included were 132 patients with recurrent anterior instability with visible HSLs; patients who had multidirectional instability or previous shoulder surgery were excluded. Three-dimensional computed tomography models were constructed, and a custom computer optimization algorithm was generated to maximize bone plug surface area at the most superior apex (superiorization) and minimize its position relative to the most medial margin of the HSL defect (medialization). The optimal number, diameter, medialization, and superiorization of the bone plug(s) were reported. Percentages of restored glenoid track width and conversion from off- to on-track HSLs after bone plug optimization were calculated. RESULTS: A total of 86 patients were included in the final analysis. Off-track lesions made up 19.7% of HSLs and, of these, the mean bone plug size was 9.9 ± 1.4 mm, with 2.2 mm ± 1.7 mm of medialization and 3.3 mm ± 2.9 mm of superiorization. The optimization identified 21% of HSLs requiring 1 bone plug, 65% requiring 2 plugs, and 14% requiring 3 plugs, with a mean overall coverage of 60%. The mean width of the restored HSLs was 68%, and all off-track HSLs (n = 17) were restored to on-track. A Jenks natural-breaks analysis calculated 3 ideal bone plug diameters of 8 mm (small), 10.4 mm (medium), and 12 mm (large) in order to convert this group of HSLs to on-track. CONCLUSION: Using a custom computer algorithm, we have demonstrated the optimal talus OCA bone plug diameters for reconstructing HSLs to successfully restore the HSL track and, on average, 60% of the HSL surface area and 68% of the HSL width. CLINICAL RELEVANCE: Reconstructing HSLs with talus OCA is a promising treatment option with excellent fit and restoration of HSLs. This study will help guide surgeons to optimize OCA bone plugs from the humeral head, femoral head, and talus for varying sizes of HSLs.
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spelling pubmed-104839802023-09-08 Humeral Head Reconstruction With Osteochondral Allograft: Bone Plug Optimization for Hill-Sachs Lesions Using CT-Based Computer Modeling Analysis Ganokroj, Phob Hollenbeck, Justin Peebles, Annalise M. Brown, Justin R. Hanson, Jared A. Whalen, Ryan J. Golijanin, Petar Provencher, CAPT Matthew T. Orthop J Sports Med Article BACKGROUND: Engaging Hill-Sachs lesions (HSLs) pose a significant risk for failure of surgical repair of recurrent anterior shoulder instability. Reconstruction with fresh osteochondral allograft (OCA) has been proposed as a treatment for large HSLs. PURPOSE: To determine the optimal characteristics of talus OCA bone plugs in a computer-simulated HSL model. STUDY DESIGN: Descriptive laboratory study; Level of evidence, 6 METHODS: Included were 132 patients with recurrent anterior instability with visible HSLs; patients who had multidirectional instability or previous shoulder surgery were excluded. Three-dimensional computed tomography models were constructed, and a custom computer optimization algorithm was generated to maximize bone plug surface area at the most superior apex (superiorization) and minimize its position relative to the most medial margin of the HSL defect (medialization). The optimal number, diameter, medialization, and superiorization of the bone plug(s) were reported. Percentages of restored glenoid track width and conversion from off- to on-track HSLs after bone plug optimization were calculated. RESULTS: A total of 86 patients were included in the final analysis. Off-track lesions made up 19.7% of HSLs and, of these, the mean bone plug size was 9.9 ± 1.4 mm, with 2.2 mm ± 1.7 mm of medialization and 3.3 mm ± 2.9 mm of superiorization. The optimization identified 21% of HSLs requiring 1 bone plug, 65% requiring 2 plugs, and 14% requiring 3 plugs, with a mean overall coverage of 60%. The mean width of the restored HSLs was 68%, and all off-track HSLs (n = 17) were restored to on-track. A Jenks natural-breaks analysis calculated 3 ideal bone plug diameters of 8 mm (small), 10.4 mm (medium), and 12 mm (large) in order to convert this group of HSLs to on-track. CONCLUSION: Using a custom computer algorithm, we have demonstrated the optimal talus OCA bone plug diameters for reconstructing HSLs to successfully restore the HSL track and, on average, 60% of the HSL surface area and 68% of the HSL width. CLINICAL RELEVANCE: Reconstructing HSLs with talus OCA is a promising treatment option with excellent fit and restoration of HSLs. This study will help guide surgeons to optimize OCA bone plugs from the humeral head, femoral head, and talus for varying sizes of HSLs. SAGE Publications 2023-09-06 /pmc/articles/PMC10483980/ /pubmed/37693809 http://dx.doi.org/10.1177/23259671231193768 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Ganokroj, Phob
Hollenbeck, Justin
Peebles, Annalise M.
Brown, Justin R.
Hanson, Jared A.
Whalen, Ryan J.
Golijanin, Petar
Provencher, CAPT Matthew T.
Humeral Head Reconstruction With Osteochondral Allograft: Bone Plug Optimization for Hill-Sachs Lesions Using CT-Based Computer Modeling Analysis
title Humeral Head Reconstruction With Osteochondral Allograft: Bone Plug Optimization for Hill-Sachs Lesions Using CT-Based Computer Modeling Analysis
title_full Humeral Head Reconstruction With Osteochondral Allograft: Bone Plug Optimization for Hill-Sachs Lesions Using CT-Based Computer Modeling Analysis
title_fullStr Humeral Head Reconstruction With Osteochondral Allograft: Bone Plug Optimization for Hill-Sachs Lesions Using CT-Based Computer Modeling Analysis
title_full_unstemmed Humeral Head Reconstruction With Osteochondral Allograft: Bone Plug Optimization for Hill-Sachs Lesions Using CT-Based Computer Modeling Analysis
title_short Humeral Head Reconstruction With Osteochondral Allograft: Bone Plug Optimization for Hill-Sachs Lesions Using CT-Based Computer Modeling Analysis
title_sort humeral head reconstruction with osteochondral allograft: bone plug optimization for hill-sachs lesions using ct-based computer modeling analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483980/
https://www.ncbi.nlm.nih.gov/pubmed/37693809
http://dx.doi.org/10.1177/23259671231193768
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