超声弹性成像技术在乳腺病变中的临床应用进展
Progress in Clinical Application of Ultrasound Elastography Technology in Breast Lesions
DOI: 10.12677/ACM.2024.143667, PDF,   
作者: 齐 艳, 王胜利*:延安大学附属医院超声医学科,陕西 延安
关键词: 乳腺超声弹性成像应用进展Breast Ultrasound Elastography Application Progress
摘要: 我国乳腺癌发病人数及死亡人数均居世界首位,早发现、早诊治对乳腺癌患者至关重要。超声弹性成像技术(Ultrasonic Elastography, UE)可以提高常规超声诊断乳腺癌的准确性,UE技术主要分为应变式弹性成像技术、声辐射脉冲成像技术和剪切波弹性成像技术三大类,UE技术不只在乳腺病变良恶性的鉴别方面,还在乳腺影像报告和数据系统(Breast Imaging Reporting and Data System, BI-RADS)分类优化、新辅助化疗疗效和乳腺癌患者预后评估等方面发挥着重要作用。
Abstract: The number of breast cancer cases and deaths in China ranks first in the world. Early diagnosis and treatment are crucial for breast cancer patients. Ultrasound elastography (UE) can help improve the accuracy of conventional ultrasound in the diagnosis of breast cancer, UE is mainly divided into three categories: Strain Elastography, Acoustic Radiation Force Imaging and Shear Wave Elasticity, which can not only play an important role in the differentiation of benign and malignant breast le-sions, but also plays an important role in optimizing the BI-RADS classification, the efficacy of neo-adjuvant chemotherapy and the prognosis evaluation of breast cancer patients.
文章引用:齐艳, 王胜利. 超声弹性成像技术在乳腺病变中的临床应用进展[J]. 临床医学进展, 2024, 14(3): 73-78. https://doi.org/10.12677/ACM.2024.143667

参考文献

[1] Lei, S.Y., Zheng, R.S., Zhang, S.W., et al. (2021) Breast Cancer Incidence and Mortality in Women in China: Temporal Trends and Projections to 2030. Cancer Biology & Medicine, 18, 900-999. [Google Scholar] [CrossRef] [PubMed]
[2] Sung, H., Ferlay, J., Siegel, R.L., et al. (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians, 71, 209-249. [Google Scholar] [CrossRef] [PubMed]
[3] 中国抗癌协会乳腺癌专业委员会, 中华医学会肿瘤学分会乳腺肿瘤学组. 中国抗癌协会乳腺癌诊治指南与规范(2024年版) [J]. 中国癌症杂志, 2023, 33(12): 1092-1186.
[4] Berg, W.A. (2016) Current Status of Supplemental Screening in Dense Breasts. Journal of Clinical Oncology, 34, 1840-1843. [Google Scholar] [CrossRef
[5] Benndorf, M., Kotter, E., Langer, M., et al. (2015) Development of an Online, Publicly Accessible Naive Bayesian Decision Support Tool for Mammographic Mass Lesions Based on the American College of Radiology (ACR) BI-RADS Lexicon. European Radiology, 25, 1768-1775. [Google Scholar] [CrossRef] [PubMed]
[6] Ophir, J., Céspedes, I., Ponnekanti, H., et al. (1991) Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues. Ultrasonic Imaging, 13, 111-134. [Google Scholar] [CrossRef] [PubMed]
[7] Weismann, C. (2021) Sonoelastographie Der Mamma. Der Ra-diologe, 61, 170-176. [Google Scholar] [CrossRef] [PubMed]
[8] Krouskop, T.A., Wheeler, T.M., Kallel, F., et al. (1998) Elastic Moduli of Breast and Prostate Tissues under Compression. Ultrasonic Imaging, 20, 260-274. [Google Scholar] [CrossRef] [PubMed]
[9] Guo, J., Jiang, D., Qian, Y., et al. (2022) Differential Diagno-sis of Different Types of Solid Focal Liver Lesions Using Two-Dimensional Shear Wave Elastography. World Journal of Gastroenterology, 28, 4716-4725. [Google Scholar] [CrossRef] [PubMed]
[10] Tyloch, D.J., Tyloch, J.F., Adamowicz, J., et al. (2022) Comparison of Strain and Shear Wave Elastography in Prostate Cancer Detection. Ultrasound in Medicine and Biology, 49, 889-900. [Google Scholar] [CrossRef] [PubMed]
[11] Shahzad, R., Fatima, I., Anjum, T., et al. (2022) Diagnos-tic Value of Strain Elastography and Shear Wave Elastography in Differentiating Benign and Malignant Breast Lesions. Annals of Saudi Medicine, 42, 319-326. [Google Scholar] [CrossRef] [PubMed]
[12] Ricci, P., Maggini, E., Mancuso, E., et al. (2014) Clinical Appli-cation of Breast Elastography: State of the Art. European Journal of Radiology, 83, 429-437. [Google Scholar] [CrossRef] [PubMed]
[13] Itoh, A., Ueno, E., Tohno, E., et al. (2006) Breast Disease: Clinical Application of US Elastography for Diagnosis. Radiology, 239, 341-350. [Google Scholar] [CrossRef] [PubMed]
[14] 沈建红, 罗葆明, 欧冰, 等. 超声弹性成像对乳腺良恶性肿块的鉴别诊断价值[J]. 岭南现代临床外科, 2006, 6(5): 348-350.
[15] 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.
[16] 井茹芳, 李春伶, 侯海军, 等. 探讨超声弹性成像对乳腺良恶性结节诊断的应用价值[J]. 中国超声医学杂志, 2012, 28(9): 847-849.
[17] Palmeri, M.L., Sharma, A.C., Bouchard, R.R., et al. (2005) A Finite-Element Method Model of Soft Tis-sue Response to Impulsive Acoustic Radiation Force. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 23, 1699-1712. [Google Scholar] [CrossRef
[18] Zhang, S.P., Wan, J., Liu, H., et al. (2020) Value of Conventional Ultrasound, Ultrasound Elasticity Imaging, and Acoustic Radiation Force Impulse Elas-tography for Prediction of Malignancy in Breast Lesions. Clinical Hemorheology and Microcirculation, 74, 241-253. [Google Scholar] [CrossRef
[19] Golatta, M., Pfob, A., Büsch, C., et al. (2022) The Potential of Combined Shear Wave and Strain Elastography to Reduce Unnecessary Biopsies in Breast Cancer Diagnostics—An International, Multicentre Trial. European Journal of Cancer, 161, 1-9. [Google Scholar] [CrossRef] [PubMed]
[20] Xiao, Y., Zeng, J., Zhang, X., et al. (2017) Ultrasound Strain Elastography for Breast Lesions: Computer-Aided Evaluation with Quantifiable Elastographic Features. Journal of Ultrasound in Medicine, 36, 1089-1100. [Google Scholar] [CrossRef] [PubMed]
[21] Wan, C., Zhou, L., Jin, Y., et al. (2023) Strain Ultrasonic Elastography Imaging Features of Locally Advanced Breast Cancer: Association with Response to Neoadjuvant Chemotherapy and Recurrence-Free Survival. BMC Medical Imaging, 23, Article No. 216. [Google Scholar] [CrossRef] [PubMed]
[22] Mori, M., Tsunoda, H., Kawauchi, N., et al. (2012) Elasto-graphic Evaluation of Mucinous Carcinoma of the Breast. Breast Cancer, 19, 60-63. [Google Scholar] [CrossRef] [PubMed]
[23] Fischer, T., Peisker, U., Fiedor, S., et al. (2012) Significant Dif-ferentiation of Focal Breast Lesions: Raw Data-Based Calculation of Strain Ratio. Ultraschall in Der Medizin), 33, 372-379. [Google Scholar] [CrossRef] [PubMed]
[24] 郑碧玉, 苏新辉, 张晓东, 等. 超声应变弹性成像技术对乳腺BI-RADS 4类结节级别调整的诊断价值[J]. 中国现代医药杂志, 2021, 23(1): 26-31.
[25] Fujioka, T., Mori, M., Kubota, K., et al. (2019) Simultaneous Comparison between Strain and Shear Wave Elastography of Breast Masses for the Differentiation of Benign and Malignant Lesions by Qualitative and Quantitative Assessments. Breast Cancer, 26, 792-798. [Google Scholar] [CrossRef] [PubMed]
[26] Altıntas, Y., Bayrak, M., Alabaz, Ö., et al. (2021) A Qualitative and Quantitative Assessment of Simultaneous Strain, Shear Wave, and Point Shear Wave Elastography to Distinguish Malignant and Benign Breast Lesions. Acta Radiologica, 62, 1155-1162. [Google Scholar] [CrossRef] [PubMed]
[27] Cantisani, V., David, E., Barr, R.G., et al. (2021) US-Elastography for Breast Lesion Characterization: Prospective Comparison of US BIRADS, Strain Elastography and Shear Wave Elastography. Ultraschall in Der Medizin, 42, 533-540. [Google Scholar] [CrossRef] [PubMed]
[28] Jiang, H., Yu, X., Zhang, L., et al. (2020) Diagnostic Values of Shear Wave Elastography and Strain Elastography for Breast Lesions. Revista Médica De Chile, 148, 1239-1245. [Google Scholar] [CrossRef
[29] Jia, W., Yang, Z., Zhang, X., et al. (2022) Shear Wave Elastography and Pulsed Doppler for Breast Lesions: Similar Diagnostic Performance and Positively Correlated Stiffness and Blood Flow Resistance. European Journal of Radiology, 147, Article ID: 110149. [Google Scholar] [CrossRef] [PubMed]
[30] Li, L., Lv, G., Shen, H., et al. (2021) Applications of Mechanical Arm in the Virtual Touch Tissue Imaging Quantification and the Differential Diagnosis of Breast Tumors. Ultrasound Quarterly, 38, 25-30. [Google Scholar] [CrossRef
[31] Kong, W., Zhou, W., Wang, Y., et al. (2019) The Value of Virtual Touch Tissue Imaging Quantification in the Differential Diagnosis between Benign and Malignant Breast Lesions. Journal of Medical Ultrasonics, 46, 459-466. [Google Scholar] [CrossRef] [PubMed]
[32] Zhu, Y., Jia, X., Zhou, W., et al. (2020) Qualitative Evaluation of Virtual Touch Imaging Quantification: A Simple and Useful Method in the Diagnosis of Breast Lesions. Cancer Man-agement and Research, 12, 2037-2045. [Google Scholar] [CrossRef
[33] Tozaki, M., Isobe, S. and Fukuma, E. (2011) Preliminary Study of Ultrasonographic Tissue Quantification of the Breast Using the Acoustic Radiation Force Impulse (Arfi) Technology. European Journal of Radiology, 80, E182-E187. [Google Scholar] [CrossRef] [PubMed]
[34] Nightingale, K., Soo, M.S., Nightingale, R., et al. (2002) Acoustic Radiation Force Impulse Imaging: In Vivo Demonstration of Clinical Feasibility. Ultrasound in Medicine and Biology, 28, 227-235. [Google Scholar] [CrossRef
[35] Barr, R.G., Nakashima, K., Amy, D., et al. (2015) Wfumb Guidelines and Recommendations for Clinical Use of Ultrasound Elastography: Part 2: Breast. Ultrasound in Medicine and Biology, 41, 1148-1160. [Google Scholar] [CrossRef] [PubMed]
[36] Berg, W.A., Cosgrove, D.O., Doré, C.J., et al. (2012) Shear-Wave Elastography Improves the Specificity of Breast Us: The BE1 Multinational Study of 939 Masses. Radiolo-gy, 262, 435-449. [Google Scholar] [CrossRef] [PubMed]
[37] Tozaki, M. and Fukuma, E. (2011) Pattern Classi-fication of Shearwave TM Elastography Images for Differential Diagnosis between Benign and Malignant Solid Breast Masses. Acta Radiologica, 52, 1069-1075. [Google Scholar] [CrossRef] [PubMed]
[38] Lin, X., Chang, C., Wu, C., et al. (2018) Confirmed Value of Shear Wave Elastography for Ultrasound Characterization of Breast Masses Using a Conservative Approach in Chinese Wom-en: A Large-Size Prospective Multicenter Trial. Cancer Management and Research, 10, 4447-4458. [Google Scholar] [CrossRef
[39] Yang, Y., Xu, X., Guo, L., et al. (2017) Qualitative and Quantitative Analysis with a Novel Shear Wave Speed Imaging for Differential Diagnosis of Breast Lesions. Scientific Reports, 7, Ar-ticle No. 40964. [Google Scholar] [CrossRef] [PubMed]
[40] Lee, E.J. and Chang, Y. (2020) Combination of Quantitative Parameters of Shear Wave Elastography and Superb Microvascular Imaging to Evaluate Breast Masses. Korean Journal of Radiology, 21, 1045-1054. [Google Scholar] [CrossRef] [PubMed]
[41] Cosgrove, D.O., Berg, W.A., Doré, C.J., et al. (2012) Shear Wave Elastography for Breast Masses Is Highly Reproducible. European Radiology, 22, 1023-1032. [Google Scholar] [CrossRef] [PubMed]
[42] Evans, A., Whelehan, P., Thomson, K., et al. (2010) Quantitative Shear Wave Ultrasound Elastography: Initial Experience in Solid Breast Masses. Breast Cancer Research, 12, Article No. R104. [Google Scholar] [CrossRef] [PubMed]
[43] Yuan, S., Shao, H., Na, Z., et al. (2022) Value of Shear Wave Elastici-ty in Predicting the Efficacy of Neoadjuvant Chemotherapy in Different Molecular Types. Clinical Imaging, 89, 97-103. [Google Scholar] [CrossRef] [PubMed]
[44] Ganau, S., Andreu, F.J., Escribano, F., et al. (2015) Shear-Wave Elastography and Immunohistochemical Profiles in Invasive Breast Cancer: Evaluation of Maximum and Mean Elasticity Values. European Journal of Radiology, 84, 617-622. [Google Scholar] [CrossRef] [PubMed]
[45] 张行, 隋秀芳, 张杰, 等. VTI平均光密度值在乳腺BI-RADS分类校正中的应用[J]. 中国超声医学杂志, 2017, 33(6): 501-504.
[46] Zhang, M., Du, Y., Zha, H., et al. (2022) Construction and Validation of a Personalized Nomogram of Ultrasound for Pretreatment Prediction of Breast Cancer Patients Sensitive to Neoadjuvant Chemotherapy. The British Journal of Radiology, 95, Article ID: 20220626. [Google Scholar] [CrossRef] [PubMed]
[47] 傅晓红, 沈燕, 刘淼, 等. 声触诊组织成像和定量技术鉴别并优化BI-RADS 4类乳腺肿块的价值[J]. 中国临床医学, 2017, 24(2): 214-218.