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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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Autores principales: Noonpradej, Seechad, Wangkulangkul, Piyanun, Woodtichartpreecha, Piyanoot, Laohawiriyakamol, Suphawat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2021
Materias:
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.
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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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