Double uterus associated with renal aplasia; magnetic resonance appearance and three‐dimensional computed tomographic urogram

Imai, Atsushi; Matsunami, Kazutoshi

doi:10.1016/j.ijgo.2004.05.020

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…The JZ is functionally important in reproduction and ontogenetically related to the endometrium (61,63,65). Although its diagnostic accuracy in the management of congenital anomalies is not yet fully elucidated, it seems to be an extremely useful tool, especially in cases of obstructive or nonobstructive vaginal and/or cervical aplasia or dysplasia (8,11,24,25,(70)(71)(72)(73)(74)(75)(76)(77). All these improvements, together with advances in the field of endoscopy (e.g., office hysteroscopy, hydrolaparoscopy, better imaging in laparoscopy), greatly increase our efficacy for an accurate, clear, and detailed estimation of the anatomy of the female genital system (78)(79)(80)(81).…”

Section: Clear and Accurate Definitionsmentioning

confidence: 99%

Congenital malformations of the female genital tract: the need for a new classification system

Grimbizis

Campo

2010

Fertility and Sterility

107

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Section: Clear and Accurate Definitionsmentioning

confidence: 99%

Congenital malformations of the female genital tract: the need for a new classification system

Grimbizis

Campo

2010

Fertility and Sterility

107

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“…It should be noted that MRI is expensive, and its validity in the diagnosis of congenital malformations is under investigation. Until now, it has not been used as a primary diagnostic tool but was applied mainly for the investigation of complex anomalies [ 117 , 129 – 132 ]. Hysterosalpingography has been and is still frequently the primary and only non-invasive diagnostic tool used for the diagnosis of uterine’s cavity deformations.…”

Section: Imaging Techniques For the Diagnosis Of Uterine Anomaliesmentioning

confidence: 99%

Section: Imaging Techniques For the Diagnosis Of Uterine Anomaliesmentioning

confidence: 99%

Clinical approach for the classification of congenital uterine malformations

Grimbizis

Campo

2012

Gynecol Surg

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A more objective, accurate and non-invasive estimation of uterine morphology is nowadays feasible based on the use of modern imaging techniques. The validity of the current classification systems in effective categorization of the female genital malformations has been already challenged. A new clinical approach for the classification of uterine anomalies is proposed. Deviation from normal uterine anatomy is the basic characteristic used in analogy to the American Fertility Society classification. The embryological origin of the anomalies is used as a secondary parameter. Uterine anomalies are classified into the following classes: 0, normal uterus; I, dysmorphic uterus; II, septate uterus (absorption defect); III, dysfused uterus (fusion defect); IV, unilateral formed uterus (formation defect); V, aplastic or dysplastic uterus (formation defect); VI, for still unclassified cases. A subdivision of these main classes to further anatomical varieties with clinical significance is also presented. The new proposal has been designed taking into account the experience gained from the use of the currently available classification systems and intending to be as simple as possible, clear enough and accurate as well as open for further development. This proposal could be used as a starting point for a working group of experts in the field.

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“…Magnetic resonance imaging (MRI) is the most useful complementary investigation in order to distinguish between different uterine structural malformations [8]. Careful appreciation of the endometrium versus myometrium sign and depth can help to differentiate between uterus didelphys, bicornuate uterus or septated uterus [9]. For bicornuate uterus, MRI depicts two divergent uterine horns with an increased intercornual distance of more than 4 cm which are separated by myometrial tissue seen on T2-weighted images by its intermediate signal intensity [10].…”

Section: Diagnosismentioning

confidence: 99%