Diagnostic efficacy of gel infusion sonography in post-menopausal bleeding

Abstract

Abstract Background Our purpose was to evaluate the diagnostic performance of two-dimensional transvaginal ultrasound (2D-TVUS) and gel infusion sonography (GIS) at offline analysis for endometrial characterization compared with real-time evaluation during scanning. One hundred fifty women presented with PMB. At TVUS, endometrial thickness was ≥ 4 mm in 122 (81.3%) women and < 4 mm in 28 (18.72%). Among 122 women with endometrial thickness > 4 mm, GIS was successfully performed in 117 (95.9%). Examinations were stored as video clips for later evaluation (offline analysis) by two less experienced radiologists. Endometrial lesions were classified into four categories: no endometrial abnormality, hyperplasia, polyps, and cancer. Diagnostic efficiency of real-time and offline analysis for diagnosis of each category was calculated and compared, and inter-observer agreement for offline analysis was calculated. Results All patients underwent hysteroscopy and/or hysterectomy. Histopathological results confirmed no endometrial abnormality in (27.3%, 41/150), endometrial hyperplasia in (12.7%, 19/150), endometrial polyps in (17.3%, 26/150), and endometrial cancer in (42.7%, 64/150). Overall diagnostic accuracy of real-time imaging was 89.7% (CI 84–91%)). The highest accuracy 92.7% (CI 88–98%) was seen in the diagnosis of cancer, and polyps 91.5% (CI 86–97%). The lowest accuracy 75% (CI 69–82%) was seen in hyperplasia. Overall diagnostic accuracy of offline analysis was 81%, and it increased to 88% (CI 83–92%) after a restricted analysis of good quality clips. The highest accuracy 90.7% (CI 83–95%) was seen in the diagnosis of polyps, and cancer 90.4% (CI 83–96%). The lowest accuracy 71% (CI 69–75%) was seen in hyperplasia. At offline analysis, the inter-observer agreement was substantial k = 0.77 (CI 71–84) in the evaluation of four endometrial categories after the exclusion of bad quality videos. It was excellent in exclusion of endometrial abnormalities k = 0.85 (0.78–0.90), substantial in the diagnosis of polyps k = 0.71 (0.69–0.88), cancer k = 0.61 (0.61–0.77), and moderate in the diagnosis of hyperplasia k = 0.41 (0.30–0.41). Conclusion Offline 2D analysis with a good image quality has comparable accuracy to a real-time evaluation during scanning in the diagnosis of endometrial lesions. It can increase the accuracy of sonography in ruling out endometrial abnormalities and diagnose non-hyperplastic endometrial pathologies. High NPV and substantial reproducibility can make it an efficient initial screening method in a post-menopausal bleeding.