Histopathological Grading based on Tumor Margin according to BI-RADS Mammography in Breast Cancer

Highlights: The highest distribution of breast cancer patients’ age based on the 5-year age interval was 45- 49 years old. There was no significant difference between tumor margin and age of breast cancer patients. There was no significant difference between tumor margin and histopathological grade. Abstract Introduction: Mammography is an X-ray technique used to take images of the breast. It is the primary diagnostic method for breast tumors. Breast imaging reporting and data system (BI-RADS) classification is needed to determine benign or malignant masses by accessing the mass's shape, margin, density, and other features. However, the tumor margin is the most helpful one. This study aimed to know the difference in the distribution of tumor margin types in each histopathological grading in breast cancer patients. Methods: This was an observational analytic study with a comparative approach using secondary data from medical records of patients with breast cancer at the radio diagnostic and anatomical pathology installation of Dr. Soetomo General Acadamic Hospital, Surabaya, from January 2017 to December 2021. All statistical data were performed using the International Business Machines Corporation (IBM) Statistical Package for Social Sciences (SPSS) version 27. Results: Out of 235 cases, the highest distribution of breast cancer patients’ age interval was 45-49 years old (20.9%), the primary tumor margin type was spiculated (64.3%), and the highest distribution of histopathological grading was grade 3 (53.2%). There was no significant difference between tumor margin and age of breast cancer patients (p = 0.815), with spiculated tumor margin as the most common type in all age intervals. There was no significant difference (p = 0.163) in the distribution of tumor margin types in each histopathological grading, with spiculated tumor margin as the most common type in every grade. Conclusion: There was no significant difference between tumor margin and age of breast cancer patients, and there was no significant difference between tumor margin and histopathological grading.

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Publication Details

Journal
JUXTA Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga
Published
2024-08-10
DOI
https://doi.org/10.20473/juxta.v15i22024.119-123
Primary Topic
Radiomics and Machine Learning in Medical Imaging
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article
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article

Histopathological Grading based on Tumor Margin according to BI-RADS Mammography in Breast Cancer

Iskandar Ali, Lies Mardiyana, Shabrinna Ayasha, Budi Utomo
JUXTA Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga
Radiomics and Machine Learning in Medical Imaging
article

Histopathological Grading based on Tumor Margin according to BI-RADS Mammography in Breast Cancer

Iskandar Ali, Lies Mardiyana, Shabrinna Ayasha, Budi Utomo
article en

Abstract

Highlights: The highest distribution of breast cancer patients’ age based on the 5-year age interval was 45- 49 years old. There was no significant difference between tumor margin and age of breast cancer patients. There was no significant difference between tumor margin and histopathological grade. Abstract Introduction: Mammography is an X-ray technique used to take images of the breast. It is the primary diagnostic method for breast tumors. Breast imaging reporting and data system (BI-RADS) classification is needed to determine benign or malignant masses by accessing the mass's shape, margin, density, and other features. However, the tumor margin is the most helpful one. This study aimed to know the difference in the distribution of tumor margin types in each histopathological grading in breast cancer patients. Methods: This was an observational analytic study with a comparative approach using secondary data from medical records of patients with breast cancer at the radio diagnostic and anatomical pathology installation of Dr. Soetomo General Acadamic Hospital, Surabaya, from January 2017 to December 2021. All statistical data were performed using the International Business Machines Corporation (IBM) Statistical Package for Social Sciences (SPSS) version 27. Results: Out of 235 cases, the highest distribution of breast cancer patients’ age interval was 45-49 years old (20.9%), the primary tumor margin type was spiculated (64.3%), and the highest distribution of histopathological grading was grade 3 (53.2%). There was no significant difference between tumor margin and age of breast cancer patients (p = 0.815), with spiculated tumor margin as the most common type in all age intervals. There was no significant difference (p = 0.163) in the distribution of tumor margin types in each histopathological grading, with spiculated tumor margin as the most common type in every grade. Conclusion: There was no significant difference between tumor margin and age of breast cancer patients, and there was no significant difference between tumor margin and histopathological grading.

JUXTA Jurnal Ilmiah Mahasiswa Kedokteran Universitas AirlanggaVol. 15(2)
University of Surabaya (ID), Universitas Airlangga (ID)
Openalex Percentile: Top 73%
Radiomics and Machine Learning in Medical Imaging
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