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超声弹性成像与BI-RADS分类联合诊断可提高女性乳腺肿瘤患者的诊断价值。

Combined diagnosis of ultrasonic elastography and BI-RADS classification increases diagnostic value in female patients with breast neoplasms.

作者信息

Li Hong'e, Cheng Chen, Wang Yan, Qin Haocheng, Wang Jing, Zhang Shuqin, Teng Rong, Yu Ming, Li Na

机构信息

Department of Ultrasound, The First People's Hospital of Lianyungang Lianyungang 222061, Jiangsu, China.

Department of Ultrasound, Lianyungang Traditional Chinese Medicine Hospital Lianyungang 222004, China.

出版信息

Am J Transl Res. 2021 Oct 15;13(10):11758-11763. eCollection 2021.

Abstract

OBJECTIVE

This study was designed to investigate the clinical value of ultrasonic elastography combined with the Breast Imaging Reporting and Data System (BI-RADS) classification in patients with breast neoplasms.

METHODS

A retrospective observational study was conducted on 89 patients with breast neoplasms hospitalized from June 2017 to June 2018. All the enrolled patients had received ultrasound examinations. The diagnostic value of ultrasonic elastography, BI-RADS classification, and the combined diagnosis for breast neoplasms was analyzed.

RESULTS

The postoperative pathological examination showed 51 cases of benign lesions and 38 cases of malignant lesions among the 89 cases. The detection of the focal zone revealed 75 benign and 44 malignant lesions. Ultrasonic elastography misdiagnosed 8 malignant lesions as benign and 17 benign lesions as malignant; BI-RADS classification misdiagnosed 7 malignant lesions as benign and 15 benign lesions as malignant; The combined diagnosis misdiagnosed 2 malignant lesions as benign and 4 benign lesions as malignant. The sensitivity of the combined diagnosis was higher than that of ultrasonic elastography (P<0.05). The specificity and positive- and negative predictive values of the combined diagnosis were all higher than those of ultrasonic elastography and BI-RADS classification (all P<0.05).

CONCLUSION

Ultrasonic elastography combined with BI-RADS classification has high clinical application value in the diagnosis of breast neoplasms, especially the sensitivity to benign and malignant lesions. And compared with the mono-detection of either ultrasonic elastography or BI-RADS classification, the combined detection yields significantly higher diagnostic accuracy.

摘要

目的

本研究旨在探讨超声弹性成像联合乳腺影像报告和数据系统(BI-RADS)分类对乳腺肿瘤患者的临床应用价值。

方法

对2017年6月至2018年6月期间住院的89例乳腺肿瘤患者进行回顾性观察研究。所有纳入患者均接受了超声检查。分析超声弹性成像、BI-RADS分类及联合诊断对乳腺肿瘤的诊断价值。

结果

89例患者术后病理检查显示良性病变51例,恶性病变38例。局部区域检测发现良性病变75例,恶性病变44例。超声弹性成像将8例恶性病变误诊为良性,17例良性病变误诊为恶性;BI-RADS分类将7例恶性病变误诊为良性,15例良性病变误诊为恶性;联合诊断将2例恶性病变误诊为良性,4例良性病变误诊为恶性。联合诊断的敏感度高于超声弹性成像(P<0.05)。联合诊断的特异度、阳性预测值和阴性预测值均高于超声弹性成像和BI-RADS分类(均P<0.05)。

结论

超声弹性成像联合BI-RADS分类在乳腺肿瘤诊断中具有较高的临床应用价值,尤其是对良恶性病变的敏感度。与单独的超声弹性成像或BI-RADS分类检测相比,联合检测的诊断准确性显著更高。

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A Fast Peak-Searching Algorithm for Ultrasonic Elastography.一种用于超声弹性成像的快速峰值搜索算法。
J Ultrasound Med. 2017 Aug;36(8):1707-1721. doi: 10.7863/ultra.16.03008. Epub 2017 May 11.

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