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Computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage
BACKGROUND: Extended curettage has increasingly become the preferred treatment for giant cell tumour of bone (GCTB), but the high recurrence rate after curettage poses a major challenge for orthopaedic surgeons. Computed tomography (CT) is valuable in the evaluation of GCTB. Our aim was to identify...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782792/ https://www.ncbi.nlm.nih.gov/pubmed/34783889 http://dx.doi.org/10.1007/s00264-021-05260-6 |
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author | Zhou, Lenian Zhu, Hongyi Lin, Shanyi Jin, Hanqiang Zhang, Zhaoyuan Dong, Yang Yang, Qingcheng Zhang, Changqing Yuan, Ting |
author_facet | Zhou, Lenian Zhu, Hongyi Lin, Shanyi Jin, Hanqiang Zhang, Zhaoyuan Dong, Yang Yang, Qingcheng Zhang, Changqing Yuan, Ting |
author_sort | Zhou, Lenian |
collection | PubMed |
description | BACKGROUND: Extended curettage has increasingly become the preferred treatment for giant cell tumour of bone (GCTB), but the high recurrence rate after curettage poses a major challenge for orthopaedic surgeons. Computed tomography (CT) is valuable in the evaluation of GCTB. Our aim was to identify specific features of GCTB around the knee in pre-operative CT images that might have prognostic value for local recurrence. METHODS: We retrospectively analyzed data from 124 patients with primary GCTB around the knee who underwent extended curettage from 2010 through 2019. We collected demographic, clinical, and therapeutic data along with several CT-derived tumour characteristics. CT-derived tumor characteristics included tumour size, the distance between the tumour edge and articular surface (DTA), and destruction of posterior cortical bone (DPC). Akaike information criterion (AIC) was used to select which variables to enter into multivariate logistic regression models and to determine significant factors affecting recurrence. RESULTS: The total recurrence rate was 21.0% (26/124), and the average follow-up time was 69.5 ± 31.2 months (24–127 months). Age, DTA (< 2 mm), and DPC were significantly related to recurrence, as determined by multivariate logistic regression. The C-index of the final model was 0.79 (95% CI: 0.71 to 0.88), representing a good model for predicting recurrence. CONCLUSION: Identifying certain features of GCTB around the knee on CT has prognostic value for patients treated with extended curettage. A three-factor model predicts tumour recurrence well after extended curettage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00264-021-05260-6. |
format | Online Article Text |
id | pubmed-8782792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-87827922022-02-02 Computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage Zhou, Lenian Zhu, Hongyi Lin, Shanyi Jin, Hanqiang Zhang, Zhaoyuan Dong, Yang Yang, Qingcheng Zhang, Changqing Yuan, Ting Int Orthop Original Paper BACKGROUND: Extended curettage has increasingly become the preferred treatment for giant cell tumour of bone (GCTB), but the high recurrence rate after curettage poses a major challenge for orthopaedic surgeons. Computed tomography (CT) is valuable in the evaluation of GCTB. Our aim was to identify specific features of GCTB around the knee in pre-operative CT images that might have prognostic value for local recurrence. METHODS: We retrospectively analyzed data from 124 patients with primary GCTB around the knee who underwent extended curettage from 2010 through 2019. We collected demographic, clinical, and therapeutic data along with several CT-derived tumour characteristics. CT-derived tumor characteristics included tumour size, the distance between the tumour edge and articular surface (DTA), and destruction of posterior cortical bone (DPC). Akaike information criterion (AIC) was used to select which variables to enter into multivariate logistic regression models and to determine significant factors affecting recurrence. RESULTS: The total recurrence rate was 21.0% (26/124), and the average follow-up time was 69.5 ± 31.2 months (24–127 months). Age, DTA (< 2 mm), and DPC were significantly related to recurrence, as determined by multivariate logistic regression. The C-index of the final model was 0.79 (95% CI: 0.71 to 0.88), representing a good model for predicting recurrence. CONCLUSION: Identifying certain features of GCTB around the knee on CT has prognostic value for patients treated with extended curettage. A three-factor model predicts tumour recurrence well after extended curettage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00264-021-05260-6. Springer Berlin Heidelberg 2021-11-16 2022-02 /pmc/articles/PMC8782792/ /pubmed/34783889 http://dx.doi.org/10.1007/s00264-021-05260-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Paper Zhou, Lenian Zhu, Hongyi Lin, Shanyi Jin, Hanqiang Zhang, Zhaoyuan Dong, Yang Yang, Qingcheng Zhang, Changqing Yuan, Ting Computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage |
title | Computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage |
title_full | Computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage |
title_fullStr | Computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage |
title_full_unstemmed | Computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage |
title_short | Computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage |
title_sort | computerised tomography features of giant cell tumour of the knee are associated with local recurrence after extended curettage |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8782792/ https://www.ncbi.nlm.nih.gov/pubmed/34783889 http://dx.doi.org/10.1007/s00264-021-05260-6 |
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