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Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital
BACKGROUND: Older age and dense breast are the important risk factors for breast cancer. The ACR BI-RADS lexicon 5(th) edition does not mention how patient age and breast density may affect the category assessment. The aim of this study was to investigate whether patient age and breast density influ...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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West Asia Organization for Cancer Prevention
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190358/ https://www.ncbi.nlm.nih.gov/pubmed/33639670 http://dx.doi.org/10.31557/APJCP.2021.22.2.531 |
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author | Noonpradej, Seechad Wangkulangkul, Piyanun Woodtichartpreecha, Piyanoot Laohawiriyakamol, Suphawat |
author_facet | Noonpradej, Seechad Wangkulangkul, Piyanun Woodtichartpreecha, Piyanoot Laohawiriyakamol, Suphawat |
author_sort | Noonpradej, Seechad |
collection | PubMed |
description | BACKGROUND: Older age and dense breast are the important risk factors for breast cancer. The ACR BI-RADS lexicon 5(th) edition does not mention how patient age and breast density may affect the category assessment. The aim of this study was to investigate whether patient age and breast density influence the positive predictive value (PPV) of mammographic and ultrasonographic findings categorized as BI-RADS category 4 and subcategories 4a, 4b, and 4c among female patients. MATERIALS AND METHODS: A retrospective study was conducted in Songklanagarind Hospital between January 1, 2016 and December 31, 2017 in female patients older than 18 years who had breast lesions categorized as BI-RADS category 4 and subcategories 4a, 4b, 4c. A total of 961 breast lesions consisted of 772 (80.33%) benign lesions and 189 (19.67%) malignant lesions. Categorization was done in each lesion based on age ranges of ≤35 years, >35 to 60 years, and >60 years and breast density according to mammographic breast composition. The PPV for each BI-RADS category was calculated based on the pathological diagnoses and were compared using the chi-square test. RESULTS: The overall PPV in each subcategory was in the reference range. The PPV increased with increasing age: 4% vs. 22.63% vs. 36.67% for category 4 (p-value=0.01); 0% vs. 5.81% vs. 6.88% for subcategory 4a (p-value=0.002); 6.67% vs. 26.62% vs. 51.35% for subcategory 4b (p-value=0.001); and 33.33% vs. 76.92% vs. 81.82% for subcategory 4c (p-value=0.02). An association was not found between PPV and breast density. CONCLUSION: A significantly positive association was found between PPV and age in patients in BI-RADS subcategories 4a, 4b, and 4c. This study could not determine that mammographic breast composition according to the ACR BI-RADS 5th edition was associated with PPV due to improper sample distribution. |
format | Online Article Text |
id | pubmed-8190358 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | West Asia Organization for Cancer Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-81903582021-06-11 Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital Noonpradej, Seechad Wangkulangkul, Piyanun Woodtichartpreecha, Piyanoot Laohawiriyakamol, Suphawat Asian Pac J Cancer Prev Research Article BACKGROUND: Older age and dense breast are the important risk factors for breast cancer. The ACR BI-RADS lexicon 5(th) edition does not mention how patient age and breast density may affect the category assessment. The aim of this study was to investigate whether patient age and breast density influence the positive predictive value (PPV) of mammographic and ultrasonographic findings categorized as BI-RADS category 4 and subcategories 4a, 4b, and 4c among female patients. MATERIALS AND METHODS: A retrospective study was conducted in Songklanagarind Hospital between January 1, 2016 and December 31, 2017 in female patients older than 18 years who had breast lesions categorized as BI-RADS category 4 and subcategories 4a, 4b, 4c. A total of 961 breast lesions consisted of 772 (80.33%) benign lesions and 189 (19.67%) malignant lesions. Categorization was done in each lesion based on age ranges of ≤35 years, >35 to 60 years, and >60 years and breast density according to mammographic breast composition. The PPV for each BI-RADS category was calculated based on the pathological diagnoses and were compared using the chi-square test. RESULTS: The overall PPV in each subcategory was in the reference range. The PPV increased with increasing age: 4% vs. 22.63% vs. 36.67% for category 4 (p-value=0.01); 0% vs. 5.81% vs. 6.88% for subcategory 4a (p-value=0.002); 6.67% vs. 26.62% vs. 51.35% for subcategory 4b (p-value=0.001); and 33.33% vs. 76.92% vs. 81.82% for subcategory 4c (p-value=0.02). An association was not found between PPV and breast density. CONCLUSION: A significantly positive association was found between PPV and age in patients in BI-RADS subcategories 4a, 4b, and 4c. This study could not determine that mammographic breast composition according to the ACR BI-RADS 5th edition was associated with PPV due to improper sample distribution. West Asia Organization for Cancer Prevention 2021-02 /pmc/articles/PMC8190358/ /pubmed/33639670 http://dx.doi.org/10.31557/APJCP.2021.22.2.531 Text en https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Noonpradej, Seechad Wangkulangkul, Piyanun Woodtichartpreecha, Piyanoot Laohawiriyakamol, Suphawat Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital |
title | Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital |
title_full | Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital |
title_fullStr | Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital |
title_full_unstemmed | Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital |
title_short | Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital |
title_sort | prediction for breast cancer in bi-rads category 4 lesion categorized by age and breast composition of women in songklanagarind hospital |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190358/ https://www.ncbi.nlm.nih.gov/pubmed/33639670 http://dx.doi.org/10.31557/APJCP.2021.22.2.531 |
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