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MRI features of ovarian cystic lesions.

Authors: Sung Bin, Park; Jong Beum, Lee;

MRI features of ovarian cystic lesions.

Abstract

The purpose of this article is to present the clinical and imaging features for the spectrum of ovarian cystic lesions, from benign to malignant and from tumorous to nontumorous. We review the imaging modalities for evaluating ovarian cystic lesions, especially magnetic resonance imaging (MRI) techniques. We present clinical and imaging features that can be used to help with the differential diagnosis of the spectrum of ovarian cystic lesions. We discuss the relevance of imaging features for distinguishing between benign and malignant ovarian cystic lesions. The characteristic clinical and imaging features of ovarian cystic lesions can provide criteria for making a diagnosis or substantially narrowing the differential diagnosis. Therefore, a careful assessment of ovarian cystic lesions is warranted.

Related Organizations
Keywords

Diagnosis, Differential, Ovarian Neoplasms, Ovarian Cysts, Contrast Media, Humans, Female, Magnetic Resonance Imaging

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
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