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Diffusion-weighted imaging versus dynamic contrast-enhanced imaging for pre-operative diagnosis of deep myometrial invasion in endometrial cancer: A meta-analysis

  • Li Jen Wang
  • , Yi Ju Tseng
  • , Nicole Kessa Wee
  • , Jeffrey Jen Hui Low
  • , Cher Heng Tan*
  • *Corresponding author for this work
  • Chang Gung Memorial Hospital
  • National Central University
  • Tan Tock Seng Hospital
  • National University Hospital
  • Nanyang Technological University

Research output: Contribution to journal › Journal Article › peer-review

15 Scopus citations

Abstract

Purpose: This study investigates the differences in diagnostic performance between diffuse-weighted imaging (DWI) and dynamic contrast-enhanced imaging (DCE), either alone or in combination with T2-weighted imaging (T2WI), for diagnosing deep myometrial invasion (dMI) of endometrial cancers (EC). Methods: We performed a comprehensive search for published studies comparing DWI and DCE for preoperatively diagnosing dMI of EC. The overall diagnostic accuracy of each test was calculated using the areas under the summary receiver operating characteristic curves (AUCs). The sensitivities and specificities were compared using bivariate meta-regression. Results: Pooled analysis of nineteen studies with 961 patients (main group) showed that DWI had a larger AUC (0.943, 95% confidence interval (CI) = 0.921–0.967) than DCE (0.922, 95% CI = 0.893–0.953). For the subgroup comprising 7 studies, DWI combined with T2WI and DCE combined with T2WI showed AUCs of 0.959 (95% CI, 0.932–0.986) and 0.929 (95% CI, 0.847–1.000), respectively. None of the differences in AUCs were statistically significant. All comparisons of the sensitivities and specificities of the main group and subgroup also showed no significant differences. Conclusion: This meta-analysis found no significant difference in diagnostic performance between DWI and DCE for diagnosis of dMI in EC. DWI may be preferred for its ease of use in clinical practice.

Original languageEnglish
Pages (from-to)36-42
Number of pages7
JournalClinical Imaging
Volume80
DOIs
StatePublished - 12 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Deep myometrial invasion
  • Diffusion-weighted imaging
  • Dynamic contrast enhanced imaging
  • Endometrial cancer
  • Magnetic resonance imaging
  • Meta-analysis

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