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      Diagnostic accuracy of MRI in the differential diagnosis between uterine leiomyomas and sarcomas: A systematic review and meta‐analysis

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          Abstract

          Background

          Differential diagnosis between uterine leiomyomas and sarcomas is challenging. Magnetic resonance imaging (MRI) represents the second‐line diagnostic method after ultrasound for the assessment of uterine masses.

          Objectives

          To assess the accuracy of MRI in the differential diagnosis between uterine leiomyomas and sarcomas.

          Search Strategy

          A systematic review and meta‐analysis was performed searching five electronic databases from their inception to June 2023.

          Selection Criteria

          All peer‐reviewed observational or randomized clinical trials that reported an unbiased postoperative histologic diagnosis of uterine leiomyoma or uterine sarcoma, which also comprehended a preoperative MRI evaluation of the uterine mass.

          Data Collection and Analysis

          Sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the curve on summary receiver operating characteristic of MRI in differentiating uterine leiomyomas and sarcomas were calculated as individual and pooled estimates, with 95% confidence intervals (CI).

          Results

          Eight studies with 2495 women (2253 with uterine leiomyomas and 179 with uterine sarcomas), were included. MRI showed pooled sensitivity of 0.90 (95% CI 0.84–0.94), specificity of 0.96 (95% CI 0.96–0.97), positive likelihood ratio of 13.55 (95% CI 6.20–29.61), negative likelihood ratio of 0.08 (95% CI 0.02–0.32), diagnostic odds ratio of 175.13 (95% CI 46.53–659.09), and area under the curve of 0.9759.

          Conclusions

          MRI has a high diagnostic accuracy in the differential diagnosis between uterine leiomyomas and sarcomas.

          Synopsis

          This meta‐analysis assesses the accuracy of MRI in the differential diagnosis between uterine leiomyomas and sarcomas, demonstrating a very high diagnostic accuracy.

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          Author and article information

          Journal
          International Journal of Gynecology & Obstetrics
          Intl J Gynecology & Obste
          Wiley
          0020-7292
          1879-3479
          April 2024
          September 21 2023
          April 2024
          : 165
          : 1
          : 22-33
          Affiliations
          [1 ] Department of Medical and Surgical Sciences (DIMEC) University of Bologna Bologna Italy
          [2 ] Division of Gynecology and Human Reproduction Physiopathology IRCCS Azienda Ospedaliero‐Universitaria di Bologna Bologna Italy
          [3 ] Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine University of Naples Federico II Naples Italy
          [4 ] Anatomic Pathology Unit, Department of Advanced Biomedical Sciences, School of Medicine University of Naples Federico II Naples Italy
          [5 ] Gynecopathology and Breast Pathology Unit, Department of Woman's Health Science Agostino Gemelli University Polyclinic Rome Italy
          [6 ] Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic University of Siena Siena Italy
          [7 ] Obstetrics and Gynecology Unit, Salerno ASL, "Luigi Curto" Hospital Polla Italy
          [8 ] Obstetrics and Gynecology Unit, Salerno ASL, "Villa Malta" Hospital Sarno Italy
          Article
          10.1002/ijgo.15136
          37732472
          7b18a1b2-7aa5-4ebe-9d28-703701a2f80e
          © 2024

          http://creativecommons.org/licenses/by-nc-nd/4.0/

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