Value of digital breast tomosynthesis in distinguishing benign and malignant breast nodules

doi:10.3877/cma.j.issn.2095-2015.2022.03.003

Abstract

Abstract:

Objective

To evaluate the effectiveness of digital breast tomosynthesis (DBT) in the differential diagnosis of benign and malignant breast nodules by comparing with ultrasound.

Methods

The data of patients underwent breast nodule surgery in the Second Affiliated Hospital of Nanchang University from January 2019 to June 2020 were analyzed retrospectively. The sensitivity, specificity and accuracy of DBT and ultrasound in differential diagnosis of benign and malignant breast nodules were calculated. ROC analysis was used to evaluate the consistency of DBT and ultrasound results with pathological results, and the two were compared.

Results

The sensitivity, specificity, accuracy and AUC of DBT in the evaluation of benign and malignant breast lesions were 88.46%, 91.43%, 91.95%, 89.0%, respectively. While the corresponding results of breast ultrasound were 75.00%, 94.29%, 82.76%, 81.8%, respectively. The accuracy, sensitivity and AUC of DBT in the diagnosis of benign and malignant breast nodules were higher than those of ultrasound, but the specificity was slightly lower than that of ultrasound.

Conclusion

DBT is a more sensitive examination method for differentiating diagnosis of benign and malignant breast nodules, which is beneficial for breast cancer screening and diagnosis, and its efficiency is no less than that of breast ultrasound.

Key words: Breast nodule, Digital breast tomosynthesis, Ultrasound

Liangxia Xiong, Qimin Fang, Xuepei Tang, Lianggeng Gong. Value of digital breast tomosynthesis in distinguishing benign and malignant breast nodules[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2022, 12(03): 138-141.

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URL: https://zhxhbyyxzz.cma-cmc.com.cn/EN/10.3877/cma.j.issn.2095-2015.2022.03.003

https://zhxhbyyxzz.cma-cmc.com.cn/EN/Y2022/V12/I03/138

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References 21

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诊断方法	乳腺影像报告与数据系统分类
诊断方法	0	1~3	4A	4B	4C	5
数字乳腺断层X线摄影	2	20	17	20	23	5
乳腺超声	5	26	18	13	16	9

诊断方法	乳腺影像报告与数据系统分类
诊断方法	0	1~3	4A	4B	4C	5
数字乳腺断层X线摄影	2	20	17	20	23	5
乳腺超声	5	26	18	13	16	9

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