Diagnostic accuracy of MRI for assessing lymphovascular space invasion in endometrial carcinoma: a meta-analysis

Acta Radiol. 2024 Jan;65(1):133-144. doi: 10.1177/02841851231165671. Epub 2023 Apr 26.

Abstract

Background: The lymphovascular space invasion (LVSI) status of endometrial cancer (EC) has guiding significance in lymph node dissection. However, LVSI can only be obtained after surgery. Researchers have tried to extract the information of LVSI using magnetic resonance imaging (MRI).

Purpose: To evaluate the ability of preoperative MRI to predict the LVSI status of EC.

Material and methods: A search was conducted by using the PubMed/MEDLINE, EMBASE, Web of Science, and the Cochrane Library databases. Articles were included according to the criteria. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2. A bivariate random effects model was used to obtain pooled summary estimates, heterogeneity, and the area under the summary receiver operating characteristic curve (AUC). A subgroup analysis was performed to identify sources of heterogeneity.

Results: A total of nine articles (814 patients) were included. The risk of bias was low or unclear for most studies, and the applicability concerns were low or unclear for all studies. The summary AUC values as well as pooled sensitivity and specificity of LVSI status in EC were 0.82, 73%, and 77%, respectively. According to the subgroup analysis, radiomics/non-radiomics features, country/region, sample size, age, MR manufacturer, magnetic field, scores of risk bias, and scores of applicability concern may have caused heterogeneity.

Conclusion: Our meta-analysis showed that MRI has moderate diagnostic efficacy for LVSI status in EC. Large-sample, uniformly designed studies are needed to verify the true value of MRI in assessing LVSI.

Keywords: Endometrial cancer; diagnostic accuracy; lymphovascular space invasion; meta-analysis.

Publication types

  • Meta-Analysis

MeSH terms

  • Endometrial Neoplasms* / diagnostic imaging
  • Endometrial Neoplasms* / pathology
  • Female
  • Humans
  • Magnetic Resonance Imaging* / methods
  • ROC Curve
  • Sensitivity and Specificity