Characterization Analysis of High-Frequency Ultrasound and Different Parameter Elasticity Imaging of Invasive Ductal Breast Cancer and Its Diagnosis of Lymph Node Metastasis
YUAN Min, YAO Xiaojun, XIE Shuhui, et al
Longhua District Central Hospital of Shenzhen, Guangdong Shenzhen 518110, China
Abstract:Objective: To investigate the characteristics of high-frequency ultrasound and different parameter elasticity imaging of invasive ductal breast cancer, and to analyze its diagnostic value for lymph node metastasis. Methods: A retrospective study was conducted on 96 patients with invasive ductal breast cancer who were diagnosed by pathology and treated in our hospital from January 2021 to January 2023. According to the lymph node metastasis, the patients were divided into metastasis group and non-metastasis group. All patients underwent high-frequency ultrasound and ultrasound elastography examination upon admission. The high-frequency ultrasound and ultrasound elastography parameters of patients with different lymph node metastasis were compared. Logistic regression analysis was used to analyze the relationship between these parameters and lymph node metastasis in patients with invasive ductal breast cancer. ROC curves were drawn to explore the diagnostic value of high-frequency ultrasound and ultrasound elastography parameters for lymph node metastasis. Results: Among the 96 patients with invasive ductal breast cancer, 59 cases (61.46%) had lymph node metastasis and 37 cases (38.54%) had no lymph node metastasis. The cortical thickness of axillary lymph nodes, the longitudinal diameter of axillary lymph nodes, and the longitudinal-to-transverse diameter ratio in the metastasis group were greater than those in the non-metastasis group. The proportion of peripheral or mixed blood flow patterns and the proportion of lymph node disappearance were higher in the metastasis group than in the non-metastasis group (P<0.05). The maximum elasticity modulus value, elasticity data dispersion value, and the ratio of lesion to surrounding tissue in the metastasis group were greater than those in the non-metastasis group (P<0.05). Logistic regression analysis showed that the risk factors for lymph node metastasis in patients with invasive ductal breast cancer were large axillary lymph node cortical thickness, large axillary lymph node longitudinal diameter, large longitudinal-to-transverse diameter ratio, peripheral or mixed blood flow pattern, lymph node disappearance, large maximum elasticity modulus value, large elasticity data dispersion value, and large ratio of lesion to surrounding tissue (OR>1, P<0.05). ROC curve analysis showed that axillary lymph node cortical thickness, axillary lymph node longitudinal diameter, longitudinal-to-transverse diameter ratio, blood flow pattern, lymph node disappearance, maximum elasticity modulus value, elasticity data dispersion value, and the ratio of lesion to surrounding tissue had a certain predictive value for lymph node metastasis in patients with invasive ductal breast cancer (AUC=0.833, 0.782, 0.758, 0.721, 0.646, 0.714, 0.685, 0.730), and the combined diagnostic value was higher (AUC=0.908). Conclusion: The characteristics of high-frequency ultrasound and ultrasound elastography in patients with invasive ductal breast cancer are closely related to lymph node metastasis and can be used for preoperative diagnosis of lymph node metastasis.
元敏, 姚晓军, 谢淑慧, 刘峰, 唐子峰, 潘志远. 乳腺浸润性导管癌高频超声不同参数弹性成像的特征分析及对淋巴结转移的诊断[J]. 河北医学, 2024, 30(7): 1150-1156.
YUAN Min, YAO Xiaojun, XIE Shuhui, et al. Characterization Analysis of High-Frequency Ultrasound and Different Parameter Elasticity Imaging of Invasive Ductal Breast Cancer and Its Diagnosis of Lymph Node Metastasis. HeBei Med, 2024, 30(7): 1150-1156.
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