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 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.