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Diagnostic accuracy of ultrasound for the assessment of Baker’s cysts: a meta-analysis

BACKGROUND: Baker’s cyst is the most common cystic disease of the knee, and a fast and accurate diagnosis of Baker’s cyst is essential for a better management. Ultrasound is a rapid, portable, widely available, inexpensive and noninvasive imaging modality. However, the diagnostic accuracy of ultraso...

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Autores principales: Liu, Ke, Li, Xiaoxiao, Weng, Qianlin, Lei, Guanghua, Jiang, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743685/
https://www.ncbi.nlm.nih.gov/pubmed/36510299
http://dx.doi.org/10.1186/s13018-022-03430-9
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author Liu, Ke
Li, Xiaoxiao
Weng, Qianlin
Lei, Guanghua
Jiang, Ting
author_facet Liu, Ke
Li, Xiaoxiao
Weng, Qianlin
Lei, Guanghua
Jiang, Ting
author_sort Liu, Ke
collection PubMed
description BACKGROUND: Baker’s cyst is the most common cystic disease of the knee, and a fast and accurate diagnosis of Baker’s cyst is essential for a better management. Ultrasound is a rapid, portable, widely available, inexpensive and noninvasive imaging modality. However, the diagnostic accuracy of ultrasound on Baker’s cyst still remains undetermined. We conducted the first meta-analysis to comprehensively assess the accuracy of ultrasound for the detection of Baker’s cyst. METHODS: PubMed, Embase and Web of Science were searched from inception to July 14, 2022, without language restrictions. Studies providing cross-tabulations of ultrasound versus pathology (gold standard) or MRI (standard imaging technique) for diagnosis of Baker’s cyst were included. Indicators for the diagnostic accuracy of ultrasound, including sensitivity, specificity and area under the curve, were calculated using a bivariate model. Sensitivity analysis was conducted to evaluate the heterogeneity and robustness of the results. RESULTS: A total of 13 studies with 1,011 subjects (mean age 32.2 years; men 53.5%) met the inclusion criteria. The pooled sensitivity, specificity and area under the curve of ultrasound for diagnosis of Baker’s cyst, compared with pathology, were 0.97 (95% confidence intervals: 0.73–1.00), 1.00 (0.98–1.00) and 1.00 (0.99–1.00), respectively. The pooled estimates of ultrasound versus MRI were 0.94 (0.87–0.98) for sensitivity, 1.00 (0.83–1.00) for specificity and 0.97 (0.95–0.98) for area under the curve. Sensitivity analysis did not change the results materially. CONCLUSION: Ultrasound shows excellent diagnostic accuracy for the assessment of Baker’s cyst and provides similar diagnostic information (absent or present) compared to MRI. Because of its advantages of low cost, portability and accessibility, ultrasound is likely to be a choice of imaging technique for screening Baker’s cyst in clinical and population settings as well as in follow-ups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13018-022-03430-9.
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spelling pubmed-97436852022-12-13 Diagnostic accuracy of ultrasound for the assessment of Baker’s cysts: a meta-analysis Liu, Ke Li, Xiaoxiao Weng, Qianlin Lei, Guanghua Jiang, Ting J Orthop Surg Res Research Article BACKGROUND: Baker’s cyst is the most common cystic disease of the knee, and a fast and accurate diagnosis of Baker’s cyst is essential for a better management. Ultrasound is a rapid, portable, widely available, inexpensive and noninvasive imaging modality. However, the diagnostic accuracy of ultrasound on Baker’s cyst still remains undetermined. We conducted the first meta-analysis to comprehensively assess the accuracy of ultrasound for the detection of Baker’s cyst. METHODS: PubMed, Embase and Web of Science were searched from inception to July 14, 2022, without language restrictions. Studies providing cross-tabulations of ultrasound versus pathology (gold standard) or MRI (standard imaging technique) for diagnosis of Baker’s cyst were included. Indicators for the diagnostic accuracy of ultrasound, including sensitivity, specificity and area under the curve, were calculated using a bivariate model. Sensitivity analysis was conducted to evaluate the heterogeneity and robustness of the results. RESULTS: A total of 13 studies with 1,011 subjects (mean age 32.2 years; men 53.5%) met the inclusion criteria. The pooled sensitivity, specificity and area under the curve of ultrasound for diagnosis of Baker’s cyst, compared with pathology, were 0.97 (95% confidence intervals: 0.73–1.00), 1.00 (0.98–1.00) and 1.00 (0.99–1.00), respectively. The pooled estimates of ultrasound versus MRI were 0.94 (0.87–0.98) for sensitivity, 1.00 (0.83–1.00) for specificity and 0.97 (0.95–0.98) for area under the curve. Sensitivity analysis did not change the results materially. CONCLUSION: Ultrasound shows excellent diagnostic accuracy for the assessment of Baker’s cyst and provides similar diagnostic information (absent or present) compared to MRI. Because of its advantages of low cost, portability and accessibility, ultrasound is likely to be a choice of imaging technique for screening Baker’s cyst in clinical and population settings as well as in follow-ups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13018-022-03430-9. BioMed Central 2022-12-12 /pmc/articles/PMC9743685/ /pubmed/36510299 http://dx.doi.org/10.1186/s13018-022-03430-9 Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Liu, Ke
Li, Xiaoxiao
Weng, Qianlin
Lei, Guanghua
Jiang, Ting
Diagnostic accuracy of ultrasound for the assessment of Baker’s cysts: a meta-analysis
title Diagnostic accuracy of ultrasound for the assessment of Baker’s cysts: a meta-analysis
title_full Diagnostic accuracy of ultrasound for the assessment of Baker’s cysts: a meta-analysis
title_fullStr Diagnostic accuracy of ultrasound for the assessment of Baker’s cysts: a meta-analysis
title_full_unstemmed Diagnostic accuracy of ultrasound for the assessment of Baker’s cysts: a meta-analysis
title_short Diagnostic accuracy of ultrasound for the assessment of Baker’s cysts: a meta-analysis
title_sort diagnostic accuracy of ultrasound for the assessment of baker’s cysts: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743685/
https://www.ncbi.nlm.nih.gov/pubmed/36510299
http://dx.doi.org/10.1186/s13018-022-03430-9
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