Evidence map›Paper›PMID 42491985›Full record

ArticleJournal of medical ultrasound

Breast Ultrasound Texture Features of Family History of Breast Cancer and Contraceptive Use in Nigerian Younger Women.

Akwa Egom Erim, Akpama Egwu Egong, Precious Onwugamba, Chimezie G Akwaeze, Immanuel Atauyo Akpauso, Ernest Usang Ekpo, Stephen Clement Ovai, Nneoyi Onen Egbe

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In one paragraph

Article in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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

8 authors.

Akwa Egom ErimDepartment of Radiography and Radiological Sciences, University of Calabar, Calabar, Cross River, Nigeria.
Akpama Egwu EgongDepartment of Radiography and Radiological Sciences, University of Calabar, Calabar, Cross River, Nigeria.
Precious OnwugambaDepartment of Radiography and Radiological Sciences, University of Calabar, Calabar, Cross River, Nigeria.
Chimezie G AkwaezeDepartment of Radiography and Radiation Science, David Umahi Federal University of Health Sciences, Uburu, Ebonyi, Nigeria.
Immanuel Atauyo AkpausoDepartment of Radiography and Radiological Sciences, University of Calabar, Calabar, Cross River, Nigeria.
Ernest Usang EkpoDiscipline of Medical Imaging Sciences, Faculty of Medicine and Health, School of Health Sciences, The University of Sydney, Sydney, Australia.
Stephen Clement OvaiDepartment of Radiology, Brainzo Medical Diagnostics and Clinical Research Centre Ltd., Abuja, Nigeria.
Nneoyi Onen EgbeDepartment of Radiography and Radiological Sciences, University of Calabar, Calabar, Cross River, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of family history of breast cancer (FHBC) on the texture features of the breast is poorly understood. We sought to examine the effect of FHBC on the image texture features of breast sonograms of young asymptomatic women. Methods: This study estimated texture features in breast sonograms with ImageJ software in a cohort of 360 young asymptomatic women aged 19-29 years. The sonographic assessment was performed using a digital color Doppler ultrasonic diagnostic instruments (Xuzhou Kaixin Electronic Instrument: Model - DCU7; SN-2331531). Texture analysis of each region of interest was performed using the gray-level co-occurrence matrix plugin of the ImageJ software. An independent samples Results: Tissue homogeneity and uniformity were significantly lower in women with FHBC ( Conclusion: In this study, breast tissue complexity, homogeneity, and uniformity were affected by FHBC. Breast texture features should be considered when assessing risk in women with FHBC.

Indexed as

Artificial intelligencebreast cancerimaging informaticsmammographyscreeningultrasound

Identifiers

PMID42491985
PMCPMC13379167

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LicenceCC BY-NC-SA
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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.