Evidence map›Paper›PMID 36794115›Full record

ArticleUltrasound (Leeds, England)2023

A midline pelvic mass: Ovarian fibroma appearing vaginal in nature.

Michael C Li, Stuart L Polk, Ross A Myers

Open access · greenAbstract readCase Reports
In one paragraph

Article in Ultrasound (Leeds, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Michael C LiMorsani College of Medicine, University of South Florida, Tampa, FL, USA.ORCID https://orcid.org/0000-0001-9250-4799
Stuart L PolkMorsani College of Medicine, University of South Florida, Tampa, FL, USA.
Ross A MyersDepartment of Radiology, Lehigh Valley Health Network, Allentown, PA, USA.
Lehigh Valley Hospital-Pocono · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Ovarian fibroma is an uncommon, benign, stromal neoplasm that is a mixture of collagen-producing mesenchymal cells. There are varying sonographic and computed tomography features described in literature of smaller scale studies. Case Report: We describe a case of an ovarian fibroma presenting as a midline pelvic mass mimicking a vaginal cuff tumour in a 67-year-old patient with surgical history of a hysterectomy. Computed tomography and ultrasound were utilised to evaluate the mass and guide management of the patient. The mass was initially suspected on CT-guided biopsy as a vaginal spindle cell epithelioma amongst other potential differential considerations. With robot-assisted laparoscopic surgery and histologic analysis, the true diagnosis of an ovarian fibroma was reached. Discussion: An ovarian fibroma is an uncommon, benign, stromal ovarian tumour, representing just 1-4% of all ovarian tumours. Its widely varying imaging features present a challenge when radiologically evaluating ovarian fibromas or pelvic tumours, as the differential diagnoses are extensive and ovarian fibromas are often misdiagnosed until surgical resection. We highlight the features of ovarian fibromas and the potential value of pelvic/transvaginal ultrasonography in management of ovarian fibroma and other pelvic masses. Conclusion: The use of computed tomography and ultrasound aided in the diagnostic and treatment pathway of this patient with a pelvic mass. There is high utility of sonography in evaluating such tumours to elucidate salient features, expedite diagnosis, and guide further management.

Indexed as

diagnostic imaginggynaecological tumoursonographytransvaginal ultrasound

Identifiers

PMID36794115
PMCPMC9923148
OpenAlexW4281996106

What OpenQuestion holds

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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.