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Endometrial polyps, hyperplasia, and carcinoma in postmenopausal women: differentiation with endovaginal sonography.

Carol A. Hulka, D A Hall, Kathleen A. McCarthy, Joseph F. Simeone

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Abstract

PURPOSE: To characterize endometrial polyps, hyperplasia, and carcinoma with endovaginal ultrasound in postmenopausal women. MATERIALS AND METHODS: Seventy-three postmenopausal women with abnormally thick endometria on endovaginal sonograms were retrospectively identified. The endometrial appearance was characterized as hyperechoic, containing cystic spaces, or heterogeneous. The final study group consisted of 68 women, in whom the pathologic and sonographic findings were correlated. RESULTS: Thirty sonograms showed hyperechoic endometria in women with hyperplasia (n = 8), polyps (n = 4), polyps and hyperplasia (n = 2), or atrophy, proliferative change, mild atypia, or normal endometria (n = 16); 27 sonograms showed cystic spaces in women with polyps (n = 21), carcinoma (n = 1), polyps and hyperplasia (n = 2), or atrophy (n = 3); and 11 sonograms showed heterogeneous endometria in women with endometrial carcinoma (n = 7), atrophy (n = 2), proliferative endometrium (n = 1), or secretory endometrium (n = 1). Cystic spaces were predictive of polyps (P = 1.19 x 10(-10)). CONCLUSION: Endovaginal sonography may be useful for differentiation of endometrial polyps, hyperplasia, and carcinoma.

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PURPOSE: To characterize endometrial polyps, hyperplasia, and carcinoma with endovaginal ultrasound in postmenopausal women. MATERIALS AND METHODS: Seventy-three postmenopausal women with abnormally thick endometria on endovaginal sonograms were retrospectively identified. The endometrial appearance was characterized as hyperechoic, containing cystic spaces, or heterogeneous. The final study group consisted of 68 women, in whom the pathologic and sonographic findings were correlated. RESULTS: Thirty sonograms showed hyperechoic endometria in women with hyperplasia (n = 8), polyps (n = 4), polyps and hyperplasia (n = 2), or atrophy, proliferative change, mild atypia, or normal endometria (n = 16); 27 sonograms showed cystic spaces in women with polyps (n = 21), carcinoma (n = 1), polyps and hyperplasia (n = 2), or atrophy (n = 3); and 11 sonograms showed heterogeneous endometria in women with endometrial carcinoma (n = 7), atrophy (n = 2), proliferative endometrium (n = 1), or secretory endometrium (n = 1). Cystic spaces were predictive of polyps (P = 1.19 x 10(-10)). CONCLUSION: Endovaginal sonography may be useful for differentiation of endometrial polyps, hyperplasia, and carcinoma.

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Available abstract

PURPOSE: To characterize endometrial polyps, hyperplasia, and carcinoma with endovaginal ultrasound in postmenopausal women. MATERIALS AND METHODS: Seventy-three postmenopausal women with abnormally thick endometria on endovaginal sonograms were retrospectively identified. The endometrial appearance was characterized as hyperechoic, containing cystic spaces, or heterogeneous. The final study group consisted of 68 women, in whom the pathologic and sonographic findings were correlated. RESULTS: Thirty sonograms showed hyperechoic endometria in women with hyperplasia (n = 8), polyps (n = 4), polyps and hyperplasia (n = 2), or atrophy, proliferative change, mild atypia, or normal endometria (n = 16); 27 sonograms showed cystic spaces in women with polyps (n = 21), carcinoma (n = 1), polyps and hyperplasia (n = 2), or atrophy (n = 3); and 11 sonograms showed heterogeneous endometria in women with endometrial carcinoma (n = 7), atrophy (n = 2), proliferative endometrium (n = 1), or secretory endometrium (n = 1). Cystic spaces were predictive of polyps (P = 1.19 x 10(-10)). CONCLUSION: Endovaginal sonography may be useful for differentiation of endometrial polyps, hyperplasia, and carcinoma.

Key concepts: Medicine, Endometrial Polyp, Endometrium, Hyperplasia, Endometrial hyperplasia, Atypia, Carcinoma, Gynecology

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Endometrial polyps, hyperplasia, and carcinoma in postmenopausal women: differentiation with endovaginal sonography. — Research Paper | ScholarLens