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Mammographic classification of breast lesions amongst women in Enugu, South East Nigeria
OBJECTIVES: The study was to classify lesions identified on mammograms using Breast Imaging Reporting and Data System (BIRADS) grading method. This was in view of ascertaining the rate of occurrence of breast malignancy of the studied population. METHODS: A retrospective cohort study of 416 mammogra...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Makerere Medical School
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870279/ https://www.ncbi.nlm.nih.gov/pubmed/29937875 http://dx.doi.org/10.4314/ahs.v17i4.12 |
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author | Nwadike, Uchechukwu I Eze, Charles U Agwuna, Kelvin Mouka, Chibuzo |
author_facet | Nwadike, Uchechukwu I Eze, Charles U Agwuna, Kelvin Mouka, Chibuzo |
author_sort | Nwadike, Uchechukwu I |
collection | PubMed |
description | OBJECTIVES: The study was to classify lesions identified on mammograms using Breast Imaging Reporting and Data System (BIRADS) grading method. This was in view of ascertaining the rate of occurrence of breast malignancy of the studied population. METHODS: A retrospective cohort study of 416 mammographic reports of women was undertaken. The reports were written by consultant radiologists of 10 years' experience and above. The reports were evaluated and characterised using Breast Imaging Reporting and Data system (BIRADS). Demographic data of patients were sourced from the request cards. The data was entered into a proforma and analysed using SPSS version 17. All request cards with incomplete data were excluded from the study. RESULTS: Using the BI-RADS Classification, the mammographic reports shows that 29.57% of the lesions were benign, and 4.57% were suspicious and biopsy recommended, while 3.60% were highly suggestive of malignancy. The right breast was predominantly affected with 42.7% of the patients (P<0.05). CONCLUSION: Classification of breast lesion using BI-RADS grading system is a veritable tool in the diagnosis of the breast lesion. The present study shows that 3.6% of the population has a high index of malignancy. |
format | Online Article Text |
id | pubmed-5870279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Makerere Medical School |
record_format | MEDLINE/PubMed |
spelling | pubmed-58702792018-06-22 Mammographic classification of breast lesions amongst women in Enugu, South East Nigeria Nwadike, Uchechukwu I Eze, Charles U Agwuna, Kelvin Mouka, Chibuzo Afr Health Sci Articles OBJECTIVES: The study was to classify lesions identified on mammograms using Breast Imaging Reporting and Data System (BIRADS) grading method. This was in view of ascertaining the rate of occurrence of breast malignancy of the studied population. METHODS: A retrospective cohort study of 416 mammographic reports of women was undertaken. The reports were written by consultant radiologists of 10 years' experience and above. The reports were evaluated and characterised using Breast Imaging Reporting and Data system (BIRADS). Demographic data of patients were sourced from the request cards. The data was entered into a proforma and analysed using SPSS version 17. All request cards with incomplete data were excluded from the study. RESULTS: Using the BI-RADS Classification, the mammographic reports shows that 29.57% of the lesions were benign, and 4.57% were suspicious and biopsy recommended, while 3.60% were highly suggestive of malignancy. The right breast was predominantly affected with 42.7% of the patients (P<0.05). CONCLUSION: Classification of breast lesion using BI-RADS grading system is a veritable tool in the diagnosis of the breast lesion. The present study shows that 3.6% of the population has a high index of malignancy. Makerere Medical School 2017-12 /pmc/articles/PMC5870279/ /pubmed/29937875 http://dx.doi.org/10.4314/ahs.v17i4.12 Text en © 2017 Nwadike et al. Licensee African Health Sciences. This is an Open Access article distributed under the terms of the Creative commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Nwadike, Uchechukwu I Eze, Charles U Agwuna, Kelvin Mouka, Chibuzo Mammographic classification of breast lesions amongst women in Enugu, South East Nigeria |
title | Mammographic classification of breast lesions amongst women in Enugu, South East Nigeria |
title_full | Mammographic classification of breast lesions amongst women in Enugu, South East Nigeria |
title_fullStr | Mammographic classification of breast lesions amongst women in Enugu, South East Nigeria |
title_full_unstemmed | Mammographic classification of breast lesions amongst women in Enugu, South East Nigeria |
title_short | Mammographic classification of breast lesions amongst women in Enugu, South East Nigeria |
title_sort | mammographic classification of breast lesions amongst women in enugu, south east nigeria |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870279/ https://www.ncbi.nlm.nih.gov/pubmed/29937875 http://dx.doi.org/10.4314/ahs.v17i4.12 |
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