Correlation Between Ultrasonography BI-RADS Classification and Histopathological Examination on Breast Tumor Patients in Gorontalo

Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide. Early and accurate diagnosis is crucial for improving survival rates, particularly in regions with limited access to advanced diagnostic facilities. The ultrasound (USG) examination with Breast Imaging Reporting and Data System (BI-RADS) classification standardizes breast imaging interpretation and aids in risk stratification. However, its correlation with histopathological outcomes requires further evaluation. This study aims to analyze the correlation between ultrasonographic BI-RADS classifications and histopathological findings in patients with breast tumors in Gorontalo. This study is a multicentre retrospective observational analytic with a cross-sectional approach conducted at four hospitals in Gorontalo, Indonesia. The study included patients who underwent breast ultrasonography with BI-RADS categories 3, 4, or 5, followed by histopathological confirmation between January 2023 and January 2025. The results show 75 patients, 25 (33.3%) were classified as BI-RADS category 3, 26 (34.7%) as BI-RADS category 4, and 24 (32%) as BI-RADS category 5. Histopathological examination revealed that 92% of BI-RADS 3, 53.8% of BI-RADS 4, and 8.4% of BI-RADS 5 cases were benign, while 8% of BI-RADS category 3, 46.2% of BI-RADS category 4, and 91.6% of BI-RADS category 5 were confirmed as malignant. The chi-squared test demonstrated a significant correlation between BI-RADS classifications and histopathological findings (p < 0.001). Thus, the study confirms the strong correlation between ultrasonographic BI-RADS classifications and histopathological outcomes, emphasizing its reliability in breast cancer evaluation.

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Journal
Syntax Literate Jurnal Ilmiah Indonesia
Published
2025-04-14
DOI
https://doi.org/10.36418/syntax-literate.v10i4.58205
Primary Topic
AI in cancer detection
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article
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article

Correlation Between Ultrasonography BI-RADS Classification and Histopathological Examination on Breast Tumor Patients in Gorontalo

Agung Pranoto, Benny Nanda Kurniawan, Frederick Johan Purnomo
Syntax Literate Jurnal Ilmiah Indonesia
AI in cancer detection
article

Correlation Between Ultrasonography BI-RADS Classification and Histopathological Examination on Breast Tumor Patients in Gorontalo

Agung Pranoto, Benny Nanda Kurniawan, Frederick Johan Purnomo
article en

Abstract

Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide. Early and accurate diagnosis is crucial for improving survival rates, particularly in regions with limited access to advanced diagnostic facilities. The ultrasound (USG) examination with Breast Imaging Reporting and Data System (BI-RADS) classification standardizes breast imaging interpretation and aids in risk stratification. However, its correlation with histopathological outcomes requires further evaluation. This study aims to analyze the correlation between ultrasonographic BI-RADS classifications and histopathological findings in patients with breast tumors in Gorontalo. This study is a multicentre retrospective observational analytic with a cross-sectional approach conducted at four hospitals in Gorontalo, Indonesia. The study included patients who underwent breast ultrasonography with BI-RADS categories 3, 4, or 5, followed by histopathological confirmation between January 2023 and January 2025. The results show 75 patients, 25 (33.3%) were classified as BI-RADS category 3, 26 (34.7%) as BI-RADS category 4, and 24 (32%) as BI-RADS category 5. Histopathological examination revealed that 92% of BI-RADS 3, 53.8% of BI-RADS 4, and 8.4% of BI-RADS 5 cases were benign, while 8% of BI-RADS category 3, 46.2% of BI-RADS category 4, and 91.6% of BI-RADS category 5 were confirmed as malignant. The chi-squared test demonstrated a significant correlation between BI-RADS classifications and histopathological findings (p < 0.001). Thus, the study confirms the strong correlation between ultrasonographic BI-RADS classifications and histopathological outcomes, emphasizing its reliability in breast cancer evaluation.

Syntax Literate Jurnal Ilmiah IndonesiaVol. 10(4)
Rumah Sakit Dokter Soetomo (ID)
Openalex Percentile: Top 94%
AI in cancer detection
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Correlation Between Ultrasonography BI-RADS Classification and Histopathological Examination on Breast Tumor Patients in Gorontalo — Agung Pranoto, Benny Nanda Kurniawan, et al. · Syntax Literate Jurnal Ilmiah Indonesia (2025) | TGRS Research Map | TGRS