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Meta-Analysis
. 2023 Jan 27;102(4):e32700.
doi: 10.1097/MD.0000000000032700.

Diagnostic accuracy of shear wave elastography for endometrial cancer: A meta-analysis

Jinyi Bian  1 , Jingnan Li  1 , Yangcheng Liu  2
Affiliations
Meta-Analysis

Diagnostic accuracy of shear wave elastography for endometrial cancer: A meta-analysis

Jinyi Bian et al. Medicine (Baltimore). .

Abstract

Background: This meta-analysis aimed to identify the accuracy of shear wave elastography (SWE) in the diagnosis of endometrial cancer (EC).

Methods: We searched the PubMed, Cochrane Library, and chinese biomedical literature database from inception to September 30, 2022. Meta-analysis was conducted using STATA version 14.0 and Meta-Disc version 1.4 software. We calculated summary statistics for sensitivity (Sen), specificity (Spe), positive and negative likelihood ratio (LR+/LR-), diagnostic odds ratio (DOR), and receiver operating characteristic (SROC) curves.

Results: Eight studies that met all the inclusion criteria were included in this meta-analysis. A total of 432 patients with EC and 548 with benign endometrial lesions were assessed. All endometrial lesions were histologically confirmed by SWE. The pooled Sen was 0.91 (95% confidence interval [CI] = 0.83-0.95); the pooled Spe was 0.90 (95% CI = 0.86-0.93); the pooled LR+ was 9.10 (95% CI = 6.20-13.35); the pooled negative LR- was 0.10 (95% CI = 0.05-0.20); the pooled DOR of SWE in the diagnosis of EC was 90.73 (95% CI = 36.62-804.5). The area under the SROC curve was 0.95 (95% CI = 0.93-0.97). No evidence of publication bias was found (t = 0.98, P = .37).

Conclusion: Our meta-analysis indicates that SWE may have high diagnostic accuracy in the differential diagnosis of benign and malignant endometrial lesions. Thus, SWE may be a useful tool for the diagnosis of EC.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1.
Figure 1.
Flow chart of literature search and study selection. Eight studies were included in this meta-analysis.
Figure 2.
Figure 2.
Forest plots for the sensitivity and specificity of SWE for the diagnosis of endometrial tumors. SWE = shear wave elastography.
Figure 3.
Figure 3.
Forest plots for positive likelihood ratio and negative likelihood ratio of SWE for the diagnosis of endometrial tumors. SWE = shear wave elastography.
Figure 4.
Figure 4.
Forest plot of DOR of SWE for the diagnosis of endometrial tumors. DOR = diagnostic odds ratio. SWE = shear wave elastography.
Figure 5.
Figure 5.
SROC curve for the accuracy of SWE in the diagnosis of endometrial tumors. AUC = area under the curve, SROC = summary receiver operator characteristic, SWE = shear wave elastography.
Figure 6.
Figure 6.
Begger’s funnel plot of publication bias on the pooled QR. No publication bias was detected in this meta-analysis. QR = qdds ratio.
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References

    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70:7–30. - PubMed
    1. Doll KM, Winn AN. Assessing endometrial cancer risk among US women: long-term trends using hysterectomy-adjusted analysis. Am J Obstet Gynecol. 2019;221:318.e1–9. - PubMed
    1. Bouzid A, Ayachi A, Mourali M. Value of ultrasonography to predict the endometrial cancer in postmenopausal bleeding. Gynecol Obstet Fertil. 2015;43:652–8. - PubMed
    1. Ophir J, Garra B, Kallel F, et al. . Elastographic imaging. Ultrasound Med Biol. 2000;26(Suppl. 1):S23–9. - PubMed
    1. Garra BS. Imaging and estimation of tissue elasticity by ultrasound. Ultrasound Q. 2007;23:255–68. - PubMed

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