Background: Breast cancer ranks as one of the most prevalent cancers among women worldwide and remains a major cause of mortality. The axillary lymph node (ALN) status, especially in the absence of distant metastasis, is a significant prognostic indicator in breast cancer management. Non-invasive methods, such as ultrasound, have gained prominence in the diagnostic landscape, particularly for evaluating dense breast tissue where traditional imaging may have limitations. This study was conducted to assess the diagnostic accuracy of ultrasound in detecting malignant ALNs among breast cancer patients.
Methods: This descriptive-analytical study was conducted on 150 women diagnosed with breast cancer who visited Golestan Hospital in Ahvaz, Iran, between 2021 and 2022. Patients were initially examined clinically, and subsequently, ALN evaluations were performed using a GE S6 logic ultrasound machine. Key radiologic parameters including lymph node size, morphology, cortical thickness, and vascular distribution were assessed. Stata software was used for data analysis, and pathology results were considered the gold standard to determine ultrasound’s sensitivity and specificity in detecting malignancy.
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Results: We found 77.7% of the 150 patients had metastatic ALNs, indicating a high rate of lymphatic spread in this population. Ultrasound showed a sensitivity of 86.09% and a specificity of 51.52% in detecting malignant nodes. Radiological signs of cancer, like abnormal morphology and increased cortical thickness, were strongly linked to positive pathological findings. This shows that ultrasound is a useful tool for diagnosis.
Conclusion: The results indicate that ultrasound, as a non-invasive and accessible modality, can serve as a valuable diagnostic tool for identifying malignant ALNs in breast cancer patients. Integrating ultrasound with physical examination could enhance diagnostic precision, potentially reducing the need for invasive procedures such as biopsies. However, more research is necessary to establish the role of ultrasound in clinical protocols and investigate its potential to guide customized treatment strategies. Such advancements could optimize patient outcomes, enhance resource allocation, and ultimately contribute to more effective breast cancer management.
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