Evidence map›Paper›PMID 31410505›Full record

ReviewAbdominal radiology (New York)2020

Multimodality imaging and genomics of granulosa cell tumors.

Sherif Elsherif, Matthew Bourne, Erik Soule, Chandana Lall, Priya Bhosale

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  3. Review
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  8. Mutational analysis of theAsian journal of andrology
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Sherif ElsherifDepartment of Radiology, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, 32209, USA.
Matthew BourneDepartment of Radiology, MedStar Health/Georgetown University Hospital Program, Washington, DC, 20007, USA. matt.bourne3592@gmail.com.ORCID http://orcid.org/0000-0001-9340-4263
Erik SouleDepartment of Radiology, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, 32209, USA.
Chandana LallDepartment of Radiology, University of Florida College of Medicine-Jacksonville, Jacksonville, FL, 32209, USA.
Priya BhosaleDepartment of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
University of Florida · USGeorgetown University · USThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this article is to review the imaging findings and genomics of granulosa cell tumors (GCTs) in order to aid in diagnosis and management of GCTs. GCTs are the most common type of sex cord-stromal tumors of the ovary. They are usually diagnosed initially with ultrasound and are subsequently further characterized with CT and MRI. PET/CT is often ordered as well to measure the extent of disease and for follow-up, but its usefulness is in question as some GCTs lack FDG avidity. There is significant variability in imaging phenotypes of GCTs, ranging from mostly cystic to almost solid. More resources have recently been dedicated to understanding the genetics and molecular mechanisms of GCT development. Current research shows that the main cause of GCT carcinogenesis is the FOXL2 mutation, but there are several other noteworthy mutations that contribute to the pathogenesis of this disease. Certain mutations, like GATA4, are known to be associated with more aggressive disease and higher rates of recurrence.

conclusionUsing this information, imaging protocols can be altered depending on the genotype of the tumor. Further understanding of the genetic alterations that underpin the development of GCTs is indicated as genotypic knowledge could be used to guide optimal imaging and management strategies.

Indexed as

GenomicsMultimodal ImagingFemaleGranulosa Cell TumorHumansOvarian NeoplasmsGranulosa cell tumorOvarian neoplasmsOvarySex cord-gonadal stromal tumors

Identifiers

PMID31410505
OpenAlexW2968479438

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.