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

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 t -test was used to compare the texture features of the breast in women with FHBC and the control. Results: Tissue homogeneity and uniformity were significantly lower in women with FHBC ( P < 0.05), while tissue complexity (entropy) was significantly higher in subjects with FHBC ( P = 0.02). Correlation and contrast were statistically the same between these groups contraceptive use showed no statistical association with breast image texture features ( P > 0.05). 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.

Authors

Institutions

Publication Details

Journal
Journal of Medical Ultrasound
Published
2026-05-16
DOI
https://doi.org/10.4103/jmu.jmu-d-25-00004
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Akpama E. Egong, Akwa Egom Erim, Nneoyi Onen Egbe, Ernest Ekpo et al.
Journal of Medical Ultrasound
Radiomics and Machine Learning in Medical Imaging
article

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

Akpama E. Egong, Akwa Egom Erim, Nneoyi Onen Egbe, Ernest Ekpo, Immanuel Atauyo Akpauso, Precious Onwugamba, Chimezie G. Akwaeze, Stephen Clement Ovai
article en

Abstract

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 t -test was used to compare the texture features of the breast in women with FHBC and the control. Results: Tissue homogeneity and uniformity were significantly lower in women with FHBC ( P < 0.05), while tissue complexity (entropy) was significantly higher in subjects with FHBC ( P = 0.02). Correlation and contrast were statistically the same between these groups contraceptive use showed no statistical association with breast image texture features ( P > 0.05). 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.

Journal of Medical Ultrasound
The University of Sydney (AU), University of Calabar (NG), Zankli Medical Centre (NG), University of Health Sciences Antigua (AG)
Good health and well-being
Openalex Percentile: Top 4%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Breast Ultrasound Texture Features of Family History of Breast Cancer and Contraceptive Use in Nigerian Younger Women — Akpama E. Egong, Akwa Egom Erim, et al. · Journal of Medical Ultrasound (2026) | TGRS Research Map | TGRS