Title |
Massive ovarian oedema: a misleading clinical entity
|
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Published in |
Diagnostic Pathology, February 2016
|
DOI | 10.1186/s13000-016-0469-3 |
Pubmed ID | |
Authors |
Nikolaos Machairiotis, Aikaterini Stylianaki, Paraskevi Kouroutou, Polixeni Sarli, Nikolaos Konstantinos Alexiou, Elias Efthymiou, Athanasios Maras, Nikolaos Georgios Alexiou, Spyridon Evaggelos Nikolaou, Nikolaos Courcoutsakis, Eleni Papakonstantinou, Paul Zarogoulidis, Nikolaos Barbetakis, Dimitrios Paliouras, Apostolos Gogakos, Christodoulos Machairiotis |
Abstract |
Massive ovarian oedema is a rare non-neoplastic clinicopathologic entity has a higher incidence in women during their second and third life decade. The oedema can be presented in one or both ovaries as a result of partial intermittent torsion of the ovarian pedicle that interferes to the venal and lymphatic drainage of the ovary. We present a clinical case of a 16 year old with massive ovarian oedema and we performed a review of the literature. The pathophysiology of this entity is very complex. We tried to perform a complete review of the literature and focus on the complexity of this entity as far as its pathophysiological backround is concerned and as far as its clinical presentation is concerned. In conclusion, massive ovarian oedema is a rare, multi disease mimicking clinical entity, with an acute or progressive clinical presentation. It has also to be a part of our differential diagnosis in cases of acute abdominal pain and we have to try to treat her conservatively, in order to preserve fertility. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 3 | 19% |
Student > Bachelor | 2 | 13% |
Other | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Other | 1 | 6% |
Unknown | 7 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 50% |
Neuroscience | 1 | 6% |
Unknown | 7 | 44% |