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中华乳腺病杂志(电子版) ›› 2021, Vol. 15 ›› Issue (01) : 1 -3. doi: 10.3877/cma.j.issn.1674-0807.2021.01.001

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乳腺癌超声弹性诊断新进展
张会萍1, 周毓青1,()   
  1. 1. 200051 上海市长宁区妇幼保健院超声科
  • 收稿日期:2020-07-31 出版日期:2021-02-01
  • 通信作者: 周毓青

New development of ultrasound elastography in diagnosing breast cancer

Huiping Zhang1, Yuqing Zhou1,()   

  1. 1. Department of Ultrasound, Shanghai Changning Maternity and Infant Health Hospital, Shanghai 200051, China
  • Received:2020-07-31 Published:2021-02-01
  • Corresponding author: Yuqing Zhou
引用本文:

张会萍, 周毓青. 乳腺癌超声弹性诊断新进展[J]. 中华乳腺病杂志(电子版), 2021, 15(01): 1-3.

Huiping Zhang, Yuqing Zhou. New development of ultrasound elastography in diagnosing breast cancer[J]. Chinese Journal of Breast Disease(Electronic Edition), 2021, 15(01): 1-3.

乳腺癌早发现、早诊断对其治疗方案的选择及预后具有重要影响。超声检查是乳腺病变的首选影像学检查方法,超声弹性成像在乳腺癌的诊断中发挥着重要的作用。笔者主要介绍各种超声弹性成像技术及其在乳腺癌诊断中的临床应用价值。

Early detection and diagnosis is an important influential factor in the treatment options and prognosis of patients with breast cancer. Ultrasound examination is the first imaging choice for breast lesions. With the development of technology, ultrasound elastography plays an important role in the diagnosis of breast cancer. In this study, we summarized ultrasound elastography technologies and their clinical applications in breast cancer diagnosis.

[1]
Sharma R. Global, regional, national burden of breast cancer in 185 countries: evidence from GLOBOCAN 2018 [J]. Breast Cancer Res Treat, 2021.doi: 10.1007/s10549-020-06083-6.
[2]
郑荣寿,孙可欣,张思维,等. 2015年中国恶性肿瘤流行情况分析[J]. 中华肿瘤杂志,2019, 41(1):19-28.
[3]
Duffy SW, Vulkan D, Cuckle H, et al. Effect of mammographic screening from age 40 years on breast cancer mortality (UK Age trial): final results of a randomised, controlled trial [J]. Lancet Oncol, 2020, 21(9):1165-1172.
[4]
Park CS, Lee JH, Yim HW, et al. Observer agreement using the ACR breast imaging reporting and data system (BI-RADS)-ultrasound, first edition (2003) [J]. Korean J Radiol, 2007, 8(5):397-402.
[5]
Choi EJ, Choi H, Park EH, et al. Evaluation of an automated breast volume scanner according to the fifth edition of BI-RADS for breast ultrasound compared with hand-held ultrasound [J]. Eur J Radiol, 2018, 99:138-145.
[6]
Barr RG, Nakashima K, Amy D, et al. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 2: breast [J]. Ultrasound Med Biol, 2015, 41(5):1148-1160.
[7]
Sftoiu A, Gilja OH, Sidhu PS, et al. The EFSUMB guidelines and recommendations for the clinical practice of elastography in non-hepatic applications: update 2018 [J]. Ultraschall Med, 2019, 40(4):425-453.
[8]
中国超声医学工程学会浅表器官及外周血管超声专业委员会. 乳腺超声若干临床常见问题专家共识(2018版)[J].中国超声医学杂志,2018, 34(10):865-870.
[9]
Kaushik N, Kim S, Suh Y, et al. Proinvasive extracellular matrix remodeling for tumor progression [J]. Arch Pharm Res, 2019, 42(1): 40-47.
[10]
Samani A, Zubovits J, Plewes D. Elastic moduli of normal and pathological human breast tissues: an inversion-technique-based investigation of 169 samples [J]. Phys Med Biol, 2007, 52(6):1565-1576.
[11]
Itoh A, Ueno E, Tohno E, et al. Breast disease: clinical application of US elastography for diagnosis [J]. Radiology, 2006, 239(2):341-350.
[12]
罗葆明,欧冰,智慧,等. 改良超声弹性成像评分标准在乳腺肿块鉴别诊断中的价值[J]. 现代临床医学生物工程学杂志,2006, 12(5):396-398.
[13]
Thomas A, Degenhardt F, Farrokh A, et al. Significant differentiation of focal breast lesions: calculation of strain ratio in breast sonoelastography [J]. Acad Radiol, 2010, 17(5):558-563.
[14]
Tozaki M, Isobe S, Sakamoto M. Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses [J]. Jpn J Radiol, 2012, 30(8): 659-670.
[15]
白敏,张会萍,张雪梅,等. 超声BI-RADS分类联合声触诊组织量化技术鉴别诊断乳腺良恶性病灶的价值探讨[J]. 临床超声医学杂志,2018, 20(6): 366-369.
[16]
何凤洁,张会萍,顾继英,等. 超声BI-RADS分类标准联合剪切波弹性成像技术鉴别诊断乳腺良恶性病灶的价值[J]. 上海交通大学学报(医学版), 2019, 39(4): 393-397.
[17]
Berg WA, Cosgrove DO, Doré CJ, et al. Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses [J]. Radiology, 2012, 262(2): 435-449.
[18]
何萍,崔立刚,杨若琳,等. 超声应变弹性成像规范化培训的探索[J]. 临床超声医学杂志,2020, 22(1): 71-72.
[19]
Zheng X, Huang Y, Wang Y, et al. Combination of different types of elastography in downgrading ultrasound breast imaging-reporting and data system category 4a breast lesions [J]. Breast Cancer Res Treat, 2019, 174(2):423-432.
[20]
Farrokh A, Maass N, Treu L, et al. Accuracy of tumor size measurement: comparison of B-mode ultrasound, strain elastography, and 2D and 3D shear wave elastography with histopathological lesion size [J]. Acta Radiol, 2019, 60(4):451-458.
[21]
Evans A, Whelehan P, Thompson A, et al. Identification of pathological complete response after neoadjuvant chemotherapy for breast cancer: comparison of greyscale ultrasound, shear wave elastography, and MRI [J]. Clin Radiol, 2018, 73(10): 910.e1-910.e6.
[22]
Fernandes J, Sannachi L, Tran WT, et al. Monitoring breast cancer response to neoadjuvant chemotherapy using ultrasound strain elastography [J]. Transl Oncol, 2019, 12(9):1177-1184.
[23]
Xu P, Wu M, Yang M, et al. Evaluation of internal and shell stiffness in the differential diagnosis of breast non-mass lesions by shear wave elastography [J]. World J Clin Cases, 2020, 8(12):2510-2519.
[24]
Bae SJ, Youk JH, Yoon CI, et al. A nomogram constructed using intraoperative ex vivo shear-wave elastography precisely predicts metastasis of sentinel lymph nodes in breast cancer [J]. Eur Radiol, 2020, 30(2):789-797.
[25]
李程,梁键锋,曾福强. 乳腺癌剪切波弹性模量硬度平均值在其分子亚型及病理特征中的差异[J]. 广西医科大学学报,2020, 37(3):483-487.
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