Application of Color Doppler Ultrasound in the Diagnosis of Axillary Lymph Nodes in Patients With Breast Cancer
Objective To explore the efficacy of color Doppler ultrasound(CDUS)in the diagnosis of axillary lymph nodes(ALN)in patients with breast cancer.Methods A total of 80 patients with breast cancer admitted to Liaocheng Women and Children Health Hospital from April 2018 to April 2023 were examined by CDUS.The efficacy of CDUS in diagnosing ALN in breast cancer patients was analyzed with pathological examination as the"gold standard".And the differences in ultrasound image characteristics and ultrasound parameters between patients with and without metastasis were compared.Results Among the 80 patients,48 cases of axillary lymph node metastasis were detected by the"gold standard",and 46 cases were detected by CDUS.With pathological examination as the"gold standard",the sensitivity of CDUS in diagnosing ALN in breast cancer was 93.75%(45/48),the specificity was 96.88%(31/32),and the accuracy was 95.00%(76/80).The proportion of internal echo unevenness in patients with metastasis was 83.33%(40/48).The Kappa test showed excellent consistency between CDUS and the"gold standard"(Kappa value=0.897,P<0.001).The proportion of mixed blood flow distribution was 87.50%(42/48),and the resistance index(RI)was(0.79±0.20),which was higher than 31.25%(10/32),0,and(0.53±0.12)of patients without metastasis.The long diameter was(0.95±0.17)cm,the short diameter was(0.69±0.13)cm,and it was longer than(0.71±0.11)cm and(0.40±0.05)cm of patients without metastasis,The maximal velocity(Vmax)was(19.72±2.46)cm/s,which was faster than(14.31±1.59)cm/s in non metastatic patients,and the difference was statistically significant(P<0.05).Conclusion CDUS can diagnose ALN metastasis in breast cancer patients,which has certain diagnostic value.The results of this study provide reference for the development of treatment plans for breast cancer patients with or without ALN metastasis.
breast canceraxillary lymph nodescolor Doppler ultrasoundsensitivityspecificityaccuracy
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