Literature DB >> 24417992

[Diagnostic values of breast imaging and reporting data system and ultrasonic elastography for benign and malignant breast lesions].

Min Yang1, Xiao-ning Gu2, Fang Liu2, Ying-ying Wang2, You-li Cai2, Dong-mei Liu2, Wei-jun Zhou2.   

Abstract

OBJECTIVE: To explore the diagnostic values of breast imaging and reporting data system (BI-RADS) and ultrasonic elastography (UE) for benign and malignant breast lesions.
METHODS: A total of 122 breast lesions were studied with BI-RADS and UE scoring to compare the sensitivity and specificity according to the pathologic results. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value of BI-RADS, UE and combination.
RESULTS: Among them, pathological examinations showed that there were 72 benign and 50 malignant cases. Statistically significant differences in specificity existed between BI-RADS lexicon (as ≥ 4) and UE or combination (P < 0.05) while sensitivity showed no difference (P > 0.05); Statistically significant differences in sensitivity existed between BI-RADS (as ≥ 4B) and UE or combination (P < 0.05) while there was no difference in specificity (P > 0.05); No statistically significant differences existed between UE or combination. The area under the ROC curve was above 0.7.
CONCLUSION: Both BI-RADS and UE have a great diagnostic value for breast disease. UE is somewhat superior to BI-RADS. However, the value of combination may be more significant.

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Year:  2013        PMID: 24417992

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  1 in total

1.  Classification of Metastatic and Non-Metastatic Thoracic Lymph Nodes in Lung Cancer Patients Based on Dielectric Properties Using Adaptive Probabilistic Neural Networks.

Authors:  Di Lu; Hongfeng Yu; Zhizhi Wang; Zhiming Chen; Jiayang Fan; Xiguang Liu; Jianxue Zhai; Hua Wu; Xuefei Yu; Kaican Cai
Journal:  Front Oncol       Date:  2021-03-05       Impact factor: 6.244

  1 in total

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