الفهرس 
Evaluation of the Diagnostic Accuracy of Preoperative Ultrasound for Axillary Lymph Nodes in Breast Cancer Patients
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Abstract
Breast cancer (BC) is the most common type of cancer and the second leading cause of cancer deaths among women. Early-stage diagnosis of BC increases the chances of survival , therefore, reduces mortality rates. Accurate staging and proper management of axillary lymph nodes (ALNS) are important for the treatment of BC. ALNS staging has foremost targets, to attain information that can affect decisions concerning managementand to obtain prognostic information.
Objective : to evaluate the accuracy of the preoperative ultrasound in detection of malignant ALNS in BC patients.
Methods: The records of breast cancer patients at the breast surgery unit of AlkasrAlainyhospital , between 2017 and 2020, were reviewed. Patients with an axillary ultrasound (AUS) report who underwent a sentinel lymph nodebiopsy (SLNB) or axillary lymph node dissection (ALND) were enrolled in the present study. Demographic and clinic pathologic characteristics including age, family history, body mass index, primary tumor size, histological and biological grade, Lymphovascular invasion(LVI), extracapsular invasion (ECE), were evaluated.
Results :Of the 348 BC patients whose managed in our department, The age range was 28 – 89 years (median age 52 years). The histopathology results of the tumor were 96% with invasive duct carcinoma (IDC) 2.3% invasive lobular carcinoma(ILC) and 1.7% were mixed ductal/lobular. cortical thickness < 3mm had a significant difference for positive nodal status, effacement of hilum had a sensitivity 56.2% in detecting positive lymph nodes (LNS) , round LNS shape had a sensitivity of 82.3 % in detecting true positive LNS . pathological LNS by ultrasound had a sensitivity of 93% and specificity of 77% in detecting true positive LNS, BMI was not significant in ultrasound detection of pathologicalLNS .
Conclusion: Our data shows that AUS by its assessment has reveals to be useful in detection of malignant LNS with a sensitivity of 93.1% and specificity 77% in detecting true malignant LNS .