Axillary Nodal Metastases – Prediction by Ultrasound and Digital Mammogram Features of Primary Breast Malignancy

Article ID

8JU25

Identifies ultrasound as a predictor for axillary lymph node metastasis in breast cancer patients using ultrasound and digital methods.

Axillary Nodal Metastases – Prediction by Ultrasound and Digital Mammogram Features of Primary Breast Malignancy

Dr. Sana Shaikh
Dr. Sana Shaikh
Dr. Kashaf Anwar Arain
Dr. Kashaf Anwar Arain
Aiman Rahim
Aiman Rahim
DOI

Abstract

Objective: We have evaluated the value of using the ultrasound and mammographic features of primary breast malignancy to predict axillary lymph node metastasis in patients with known biopsy proven breast cancer. We also determined the impact of demographic factors and various histopathological features of breast cancer on axillary lymph nodes metastasis. Methods: This descriptive retrospective study was an institutional review board-approved study with a waiver of informed consent. Imaging features from 354 patients with digital mammogram and preliminary sonography and histopathological features of invasive breast carcinomas, between March 2021 and August 2022were compared with axillary lymph node status for the presence of metastases. We did univariate and multivariate logistic regression analysis for this purpose.

Axillary Nodal Metastases – Prediction by Ultrasound and Digital Mammogram Features of Primary Breast Malignancy

Objective: We have evaluated the value of using the ultrasound and mammographic features of primary breast malignancy to predict axillary lymph node metastasis in patients with known biopsy proven breast cancer. We also determined the impact of demographic factors and various histopathological features of breast cancer on axillary lymph nodes metastasis. Methods: This descriptive retrospective study was an institutional review board-approved study with a waiver of informed consent. Imaging features from 354 patients with digital mammogram and preliminary sonography and histopathological features of invasive breast carcinomas, between March 2021 and August 2022were compared with axillary lymph node status for the presence of metastases. We did univariate and multivariate logistic regression analysis for this purpose.

Dr. Sana Shaikh
Dr. Sana Shaikh
Dr. Kashaf Anwar Arain
Dr. Kashaf Anwar Arain
Aiman Rahim
Aiman Rahim

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Dr. Sana Shaikh. 2026. “. Global Journal of Medical Research – D: Radiology, Diagnostic GJMR-D Volume 23 (GJMR Volume 23 Issue D1): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-D Classification: NLM: WP 800
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Axillary Nodal Metastases – Prediction by Ultrasound and Digital Mammogram Features of Primary Breast Malignancy

Dr. Sana Shaikh
Dr. Sana Shaikh
Dr. Kashaf Anwar Arain
Dr. Kashaf Anwar Arain
Aiman Rahim
Aiman Rahim

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