2017
DOI: 10.21649/akemu.v23i1.1510
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Hysterosonography and Transvaginal Ultrasonography for Detection of Intrauterine Lesions in Women with Abnormal Uterine Bleeding

Abstract: Abnormal Uterine bleeding (AUB) is one of the frequent complaints of female patients of all ages.AUB is present in 33% of women referred to gynecologists and this increases to 69% in peri-menopausal and postmenopausal women. About 10 % of postmenopausal bleeding results from endometrial cancer and imaging is the mainstay for its identification. Imaging plays a vital role in differentiating structural lesions like endometrial carcinomas, myomas and polyps which require surgical management from functional disord… Show more

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Cited by 1 publication
(6 citation statements)
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“…Furthermore, in our meta-analysis all patients underwent both procedures, which allows a direct comparison of both techniques, instead of a parallel comparison, reducing the risk of bias. Schwärzler (1998) 13 Dijkhuizen (2000) 14 Kamel (2000) 15 de Vries (2000) 16 Epstein (2001) 17Bonnamy (2002) 19 Nanda (2002) 18 Alcazar (2004) 21 Valenzano (2005) 23 Guven (2004) 20 Kelekci (2005) 22 Botsis (2006) 24 Erdem (2007) 25 Yildizhan (2008) 26 Grimbizis (2010) 27 Bingol (2011) 28 Bingol (2011) 29 Soguktas (2012) 30 Vathanan (2016) 32 Aniol (2017) 34 Dogar (2017) 33 Fadl (2018) 35 Moradan (2019) 36 Dueholm 2015 Schwärzler (1998) 13 Dijkhuizen (2000) 14 Kamel (2000) 15 de Vries (2000) 16 Epstein (2001) 17Bonnamy (2002) 19 Nanda (2002) 18 Alcazar (2004) 21 Valenzano (2005) 23 Guven (2004) 20 Kelekci (2005) 22 Botsis (2006) 24 Erdem (2007) 25 Yildizhan (2008) 26 Grimbizis (2010) 27 Bingol (2011) 28 Bingol (2011) 29 Soguktas (2012) 30 Vathanan (2016) 32 Aniol (2017) …”
Section: Discussionmentioning
confidence: 99%
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“…Furthermore, in our meta-analysis all patients underwent both procedures, which allows a direct comparison of both techniques, instead of a parallel comparison, reducing the risk of bias. Schwärzler (1998) 13 Dijkhuizen (2000) 14 Kamel (2000) 15 de Vries (2000) 16 Epstein (2001) 17Bonnamy (2002) 19 Nanda (2002) 18 Alcazar (2004) 21 Valenzano (2005) 23 Guven (2004) 20 Kelekci (2005) 22 Botsis (2006) 24 Erdem (2007) 25 Yildizhan (2008) 26 Grimbizis (2010) 27 Bingol (2011) 28 Bingol (2011) 29 Soguktas (2012) 30 Vathanan (2016) 32 Aniol (2017) 34 Dogar (2017) 33 Fadl (2018) 35 Moradan (2019) 36 Dueholm 2015 Schwärzler (1998) 13 Dijkhuizen (2000) 14 Kamel (2000) 15 de Vries (2000) 16 Epstein (2001) 17Bonnamy (2002) 19 Nanda (2002) 18 Alcazar (2004) 21 Valenzano (2005) 23 Guven (2004) 20 Kelekci (2005) 22 Botsis (2006) 24 Erdem (2007) 25 Yildizhan (2008) 26 Grimbizis (2010) 27 Bingol (2011) 28 Bingol (2011) 29 Soguktas (2012) 30 Vathanan (2016) 32 Aniol (2017) …”
Section: Discussionmentioning
confidence: 99%
“…Aniol (2017) 34 Dogar (2017) 33 Fadl (2018) 35 Moradan (2019) 36 Dueholm (2015) 31 Schwärzler (1998) 13 Dijkhuizen (2000) 14 Kamel (2000) 15 de Vries (2000) 16 Epstein (2001) 17 Bonnamy (2002) 19 Nanda (2002) 18 Alcazar (2004) 21 Valenzano (2005) 23 Guven (2004) 20 Kelekci (2005) 22 Botsis (2006) 24 Erdem (2007) 25 Yildizhan (2008) 26 Grimbizis (2010) 27 Bingol (2011) 28 Bingol (2011) 29 Soguktas (2012) 30 Vathanan (2016) 32…”
Section: Discussionmentioning
confidence: 99%
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