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MR imaging of ovarian masses: classification and differential diagnosis

Overview of attention for article published in Insights into Imaging, December 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)

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201 Mendeley
Title
MR imaging of ovarian masses: classification and differential diagnosis
Published in
Insights into Imaging, December 2015
DOI 10.1007/s13244-015-0455-4
Pubmed ID
Authors

Pietro Valerio Foti, Giancarlo Attinà, Saveria Spadola, Rosario Caltabiano, Renato Farina, Stefano Palmucci, Giuseppe Zarbo, Rosario Zarbo, Maria D’Arrigo, Pietro Milone, Giovanni Carlo Ettorre

Abstract

We propose a Magnetic Resonance Imaging (MRI) guided approach to differential diagnosis of ovarian tumours based on morphological appearance. Characterization of ovarian lesions is of great importance in order to plan adequate therapeutic procedures, and may influence patient's management. Optimal assessment of adnexal masses requires a multidisciplinary approach, based on physical examination, laboratory tests and imaging techniques. Primary ovarian tumours can be classified into three main categories according to tumour origin: epithelial, germ cell and sex cord-stromal tumours. Ovarian neoplasms may be benign, borderline or malignant. Using an imaging-guided approach based on morphological appearance, we classified adnexal masses into four main groups: unilocular cyst, multilocular cyst, cystic and solid, predominantly solid. We describe MR signal intensity features and enhancement behaviour of ovarian lesions using pathologically proven examples from our institution. MRI is an essential problem-solving tool to determine the site of origin of a pelvic mass, to characterize an adnexal mass, and to detect local invasion. The main advantages of MRI are the high contrast resolution and lack of ionizing radiation exposure. Although different pathological conditions may show similar radiologic manifestations, radiologists should be aware of MRI features of ovarian lesions that may orientate differential diagnosis. • Diagnostic imaging plays a crucial role in detection, characterization and staging of adnexal masses. • Characterization of an ovarian lesion may influence patient's management. • Different pathological conditions may have similar radiologic manifestations. • Non-neoplastic lesions should always be taken into consideration.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 201 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 28 14%
Student > Bachelor 26 13%
Other 25 12%
Researcher 17 8%
Student > Doctoral Student 10 5%
Other 28 14%
Unknown 67 33%
Readers by discipline Count As %
Medicine and Dentistry 114 57%
Nursing and Health Professions 4 2%
Biochemistry, Genetics and Molecular Biology 2 <1%
Mathematics 1 <1%
Computer Science 1 <1%
Other 4 2%
Unknown 75 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 December 2018.
All research outputs
#14,180,635
of 24,217,893 outputs
Outputs from Insights into Imaging
#560
of 1,072 outputs
Outputs of similar age
#192,131
of 398,947 outputs
Outputs of similar age from Insights into Imaging
#12
of 16 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 398,947 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.