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Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning
INTRODUCTION: The use of MRI scans for pre-operative surgical planning of forearm osteotomies provides additional information of joint cartilage and soft tissue structures and reduces radiation exposure in comparison with the use of CT scans. In this study, we investigated whether using 3D informati...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632286/ https://www.ncbi.nlm.nih.gov/pubmed/37219804 http://dx.doi.org/10.1007/s11548-023-02929-8 |
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author | Kuiper, Ruurd J. A. Colaris, Joost W. Stockmans, Filip van Es, Eline M. Viergever, Max A. Seevinck, Peter R. Weinans, Harrie Sakkers, Ralph J. B. |
author_facet | Kuiper, Ruurd J. A. Colaris, Joost W. Stockmans, Filip van Es, Eline M. Viergever, Max A. Seevinck, Peter R. Weinans, Harrie Sakkers, Ralph J. B. |
author_sort | Kuiper, Ruurd J. A. |
collection | PubMed |
description | INTRODUCTION: The use of MRI scans for pre-operative surgical planning of forearm osteotomies provides additional information of joint cartilage and soft tissue structures and reduces radiation exposure in comparison with the use of CT scans. In this study, we investigated whether using 3D information obtained from MRI with and without cartilage information leads to a different outcome of pre-operative planning. METHODS: Bilateral CT and MRI scans of the forearms of 10 adolescent and young adult patients with a unilateral bone deformation were acquired in a prospective study. The bones were segmented from CT and MRI, and cartilage only from MRI. The deformed bones were virtually reconstructed, by registering the joint ends to the healthy contralateral side. An optimal osteotomy plane was determined that minimized the distance between the resulting fragments. This process was performed in threefold: using the CT and MRI bone segmentations, and the MRI cartilage segmentations. RESULTS: Comparison of bone segmentation from MRI and CT scan resulted in a 0.95 ± 0.02 Dice Similarity Coefficient and 0.42 ± 0.07 mm Mean Absolute Surface Distance. All realignment parameters showed excellent reliability across the different segmentations. However, the mean differences in translational realignment between CT and MRI bone segmentations (4.5 ± 2.1 mm) and between MRI bone and MRI bone and cartilage segmentations (2.8 ± 2.1 mm) were shown to be clinically and statistically significant. A significant positive correlation was found between the translational realignment and the relative amount of cartilage. CONCLUSION: This study indicates that although bone realignment remained largely similar when using MRI with and without cartilage information compared to using CT, the small differences in segmentation could induce statistically and clinically significant differences in the osteotomy planning. We also showed that endochondral cartilage might be a non-negligible factor when planning osteotomies for young patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-023-02929-8. |
format | Online Article Text |
id | pubmed-10632286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-106322862023-11-14 Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning Kuiper, Ruurd J. A. Colaris, Joost W. Stockmans, Filip van Es, Eline M. Viergever, Max A. Seevinck, Peter R. Weinans, Harrie Sakkers, Ralph J. B. Int J Comput Assist Radiol Surg Original Article INTRODUCTION: The use of MRI scans for pre-operative surgical planning of forearm osteotomies provides additional information of joint cartilage and soft tissue structures and reduces radiation exposure in comparison with the use of CT scans. In this study, we investigated whether using 3D information obtained from MRI with and without cartilage information leads to a different outcome of pre-operative planning. METHODS: Bilateral CT and MRI scans of the forearms of 10 adolescent and young adult patients with a unilateral bone deformation were acquired in a prospective study. The bones were segmented from CT and MRI, and cartilage only from MRI. The deformed bones were virtually reconstructed, by registering the joint ends to the healthy contralateral side. An optimal osteotomy plane was determined that minimized the distance between the resulting fragments. This process was performed in threefold: using the CT and MRI bone segmentations, and the MRI cartilage segmentations. RESULTS: Comparison of bone segmentation from MRI and CT scan resulted in a 0.95 ± 0.02 Dice Similarity Coefficient and 0.42 ± 0.07 mm Mean Absolute Surface Distance. All realignment parameters showed excellent reliability across the different segmentations. However, the mean differences in translational realignment between CT and MRI bone segmentations (4.5 ± 2.1 mm) and between MRI bone and MRI bone and cartilage segmentations (2.8 ± 2.1 mm) were shown to be clinically and statistically significant. A significant positive correlation was found between the translational realignment and the relative amount of cartilage. CONCLUSION: This study indicates that although bone realignment remained largely similar when using MRI with and without cartilage information compared to using CT, the small differences in segmentation could induce statistically and clinically significant differences in the osteotomy planning. We also showed that endochondral cartilage might be a non-negligible factor when planning osteotomies for young patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-023-02929-8. Springer International Publishing 2023-05-23 2023 /pmc/articles/PMC10632286/ /pubmed/37219804 http://dx.doi.org/10.1007/s11548-023-02929-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Kuiper, Ruurd J. A. Colaris, Joost W. Stockmans, Filip van Es, Eline M. Viergever, Max A. Seevinck, Peter R. Weinans, Harrie Sakkers, Ralph J. B. Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning |
title | Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning |
title_full | Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning |
title_fullStr | Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning |
title_full_unstemmed | Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning |
title_short | Impact of bone and cartilage segmentation from CT and MRI on both bone forearm osteotomy planning |
title_sort | impact of bone and cartilage segmentation from ct and mri on both bone forearm osteotomy planning |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632286/ https://www.ncbi.nlm.nih.gov/pubmed/37219804 http://dx.doi.org/10.1007/s11548-023-02929-8 |
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