Benign Breast Diseases in Makurdi, North Central Nigeria: A Retrospective Review of One Hundred and Thirty Five (135) Cases | Chapter 06 | Emerging Research in Medical Sciences Vol. 1
Benign Breast Disease (BBDs)
encompasses a diverse group of lesions that may present with a wide range of
symptoms or may be detected as incidental microscopic findings. We presented a
retrospective review of 249 cases of histopathologically diagnosed breast
lesions seen at Benue State University Teaching Hospital, Makurdi, Nigeria
between October, 2012 and January, 2017. BBDs accounted for 135 (54%) of all
breast biopsies seen. Fibroadenoma was the commonest histological lesion
comprising 74 (54.1%) of cases and with a peak age of incidence at 20-29 years.
This was followed by fibrocystic changes (FCCs) with 26.3% of cases and with
similar peak incidence age of 20-29 years. Other less common lesions including
inflammatory lesions, fibroadenoma with fibrocystic change, fat necrosis,
phylloides tumour, breast abscess, tubular adenoma, atypical hyperplasia,
granular cell tumor and gynecomastia all together accounted for the remaining
19.9%. Benign breast diseases, a diverse group of lesions constitute the vast
majority of breast lesions in Makurdi .With increase advocacy, awareness and
health education coupled with use of mammography and needle biopsies, its
diagnosis can be established.
Author(s) Details
B. A. Eke
Department of Surgery,
College of Health Science, Benue State University, Makurdi, Nigeria.
B. A. Ojo
Department of
Histopathology, College of Health Science, Benue State University, Makurdi,
Nigeria.
C. E. Okonkwo
Department of Family
Medicine, Benue State University Teaching Hospital, Makurdi, Nigeria.
I. N. Mba
Department of Chemical
Pathology, Benue State University Teaching Hospital, Makurdi, Nigeria.
J. A. Ngbea
Department of
Histopathology, College of Health Science, Benue State University, Makurdi,
Nigeria.
R. Vhriterhire
Department of
Histopathology, College of Health Science, Benue State University, Makurdi,
Nigeria.
View Volume: https://doi.org/10.9734/bpi/erms/v1
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