Journal of Shandong University (Health Sciences) ›› 2023, Vol. 61 ›› Issue (2): 95-101.doi: 10.6040/j.issn.1671-7554.0.2022.1214

• 临床医学 • Previous Articles     Next Articles

Diagnostic value of multi-modal ultrasound in 70 cases of BI-RADS category 4 breast lesions

XU Shuaiya1,2, LUO Fangqiong1, BA Chenxi1,2, ZHANG Xinru1,2, MA Zhe1   

  1. 1. Department of Medical Ultrasound, The First Affiliated Hospital of Shandong First Medical University &
    Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Abdominal Medical Imaging, Jinan 250014, Shandong, China;
    2. Shandong First Medical University &
    Shandong Academy of Medical Sciences, Jinan 250117, Shandong, China
  • Published:2023-02-17

Abstract: Objective To explore the diagnostic value of multi-modal ultrasound in Breast Imaging Reporting and Data System(BI-RADS)category 4 breast lesions. Methods A total of 70 BI-RADS category 4 lesions in 63 patients who underwent needle biopsy or resection of breast lesions were selected, including 40 benign lesions(benign group)and 30 malignant lesions(malignant group). The general clinical features, preoperative ultrasound diagnosis, and postoperative pathologic results were reviewed. Results There were no significant differences in nodule shape, orientation, internal echogenicity, margin, boundary, posterior echo attenuation and calcification between benign and malignant breast lesions(P>0.05). However, significant differences were observed in hyperechoic halos and Adler flow grades(P<0.05). The maximum value of shear wave velocity(SWVmax), elasticity imaging/B-mode ratio(EI/B), and strain ratio(SR)were higher in the malignant group than in the benign group, with significant differences(P<0.05). The area under the receiver operating characteristic curve(AUC)for SWVmax was 0.94, and the optimal cutoff value, diagnostic sensitivity and specificity were 2.85 m/s, 86.7% and 95.0%, respectively. The AUC for EI/B was 0.92, and the optimal cutoff value, and diagnostic sensitivity and specificity were 1.01, 96.7% and 82.5%, respectively. The AUC for SR was 0.78, and the optimal cutoff value, diagnostic sensitivity and specificity were 7.86, 76.7% and 72.5%, respectively. Multivariate binary Logistic analysis showed that the OR of SWVmax and EI/B of the malignant group were 12.97(P<0.05)and 1.51(P<0.05), respectively. Conclusion Reasonable application of multi-modal ultrasound is able to effectively identify benign and malignant BI-RADS category 4 breast lesions and reduce unnecessary needle biopsies.

Key words: Breast, Ultrasound, Shear wave elastography, Strain elastography

CLC Number: 

  • R445.1
[1] Ferlay J, Colombet M, Soerjomataram I, et al. Cancer statistics for the year 2020: an overview [J]. Int J Cancer, 2021. doi: 10.1002/ijc.33588.
[2] 中国抗癌协会乳腺癌专业委员会. 中国抗癌协会乳腺癌诊治指南与规范(2021年版)[J]. 中国癌症杂志, 2021, 31(10): 954-1040.
[3] Mercado CL. BI-RADS update [J]. Radiol Clin North Am, 2014, 52(3): 481-487.
[4] American College of Radiology(ACR). ACR BI-RADS Ultrasound/ACR breast imaging reporting and data system,breast imaging atlas [S]. Reston: American College of Radiology,2013.
[5] Stachs A, Stubert J, Reimer T, et al. Benign breast disease in women [J]. Dtsch Arztebl Int, 2019, 116(33-34): 565-574.
[6] Tekcan Sanli DE, Yildirim D, Kandemirli SG, et al. Evaluation of multiparametric shear wave elastography indices in malignant and benign breast lesions [J]. Acad Radiol, 2022, 29(Suppl 1): S50-S61.
[7] Cantisani V, David E, Barr RG, et al. US-Elastography for breast lesion characterization: prospective comparison of US BIRADS, strain elastography and shear wave elastography [J]. Ultraschall Med, 2021, 42(5): 533-540.
[8] 周建桥, 詹维伟. 超声乳腺影像报告数据系统及其解读 [J]. 中华医学超声杂志(电子版), 2011, 8(6): 1332-1341.
[9] Ohashi R, Matsubara M, Watarai Y, et al. Pleomorphic lobular carcinoma of the breast: a comparison of cytopathological features with other lobular carcinoma variants [J]. Cytopathology, 2017, 28(2): 122-130.
[10] Irshad A, Leddy R, Pisano E, et al. Assessing the role of ultrasound in predicting the biological behavior of breast cancer [J]. AJR Am J Roentgenol, 2013, 200(2): 284-290.
[11] 丁志颖, 黄敏, 郭建锋. 比较三阴性乳腺癌与BI-RADS 4A类不典型纤维腺瘤及腺病超声表现[J]. 中国医学影像技术, 2017, 33(12): 1830-1834. DING Zhiying, HUANG Min, GUO Jianfeng. Comparison of ultrasonic manifestations among triple-negative breast cancer and BI-RADS 4A atypical fibroadenoma or adenosis [J]. Chinese Journal of Medical Imaging Technology, 2017, 33(12): 1830-1834.
[12] Shao S, Yao M, Li X, et al. Conventional and contrast-enhanced ultrasound features in sclerosing adenosis and correlation with pathology [J]. Clin Hemorheol Microcirc, 2021, 77(2): 173-181.
[13] Ophir J, Céspedes I, Ponnekanti H, et al. Elastography: a quantitative method for imaging the elasticity of biological tissues [J]. Ultrason Imaging, 1991, 13(2): 111-134.
[14] Shiina T, Nightingale KR, Palmeri ML, et al. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: part 1: basic principles and terminology [J]. Ultrasound Med Biol, 2015, 41(5): 1126-1147.
[15] Ferraioli G, Filice C, Castera L, et al. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 3: liver [J]. Ultrasound Med Biol, 2015, 41(5): 1161-1179.
[16] Cosgrove D, Barr R, Bojunga J, et al. WFUMB Guidelines and Recommendations on the Clinical Use of Ultrasound Elastography: Part 4. Thyroid [J]. Ultrasound Med Biol, 2017, 43(1): 4-26.
[17] 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.
[18] Barr RG, Cosgrove D, Brock M, et al. WFUMB Guidelines and Recommendations on the Clinical Use of Ultrasound Elastography: Part 5. Prostate [J]. Ultrasound Med Biol, 2017, 43(1): 27-48.
[19] 李涛, 何广敏, 刘观成,等.剪切波弹性成像鉴别乳腺影像报告和数据系统(BI-RADS)4类乳腺肿块 [J]. 中国医学影像技术, 2021, 37(1): 67-70. LI Tao, HE Guangmin, LIU Guancheng, et al. Shear wave elastography parameters for differentiating breast imaging reporting and data system(BI-RADS)4 breast masses [J]. Chinese Journal of Medical Imaging Technology, 2021, 37(1): 67-70.
[20] 李良, 葛娜, 孙霄, 等. 两种声触诊组织定量技术鉴别乳腺包块良恶性的价值[J]. 山东大学学报(医学版), 2018, 56(4): 70-75. LI Liang, GE Na, SUN Xiao, et al. Value of VTQ and VTIQ on differentation of benign and malignant breast masses [J]. Journal of Shandong University(Health Sciences), 2018, 56(4): 70-75.
[21] Barr RG, De Silvestri A, Scotti V, et al. Diagnostic performance and accuracy of the 3 interpreting methods of breast strain elastography: a systematic review and meta-analysis [J]. J Ultrasound Med, 2019, 38(6): 1397-1404.
[22] Leong LCH, Moey THL, Tan PH, et al. Comparative study of pattern-based versus size ratio ultrasound strain elastographic techniques on breast masses [J]. J Ultrasound Med, 2019, 38(7): 1779-1790.
[23] Tay IWM, Sim LS, Moey THL, et al. Shear wave versus strain elastography of breast lesions—the value of incorporating boundary tissue assessment [J]. Clin Imaging, 2022, 82: 228-233. doi: 10.1016/j.clinimag.2021.11.030.
[24] Golatta M, Pfob A, Büsch C, et al. The potential of combined shear wave and strain elastography to reduce unnecessary biopsies in breast cancer diagnostics—an international, multicentre trial [J]. Eur J Cancer, 2022, 161: 1-9. doi: 10.1016/j.ejca.2021.11.005.
[25] Ganau S, Andreu FJ, Escribano F, et al. Shear-wave elastography and immunohistochemical profiles in invasive breast cancer: evaluation of maximum and mean elasticity values [J]. Eur J Radiol, 2015, 84(4): 617-622.
[26] Choi HY, Seo M, Sohn YM, et al. Shear wave elastography for the diagnosis of small(≤2 cm)breast lesions: added value and factors associated with false results[J]. Br J Radiol, 2019, 92(1097): 20180341. doi:10.1259/bjr.20180341.
[27] Barr RG. Real-time ultrasound elasticity of the breast: initial clinical results[J]. Ultrasound Q, 2010, 26(2): 61-66.
[28] Barr RG, Destounis S, Lackey LB 2nd, et al. Evaluation of breast lesions using sonographic elasticity imaging: a multicenter trial [J]. J Ultrasound Med, 2012, 31(2): 281-287.
[29] 陈雅玲, 高毅, 王芬, 等. 乳腺剪切波弹性成像的各向异性与组织病理学的相关性[J]. 中华超声影像学杂志, 2017, 26(3): 254-258. CHEN Yaling, GAO Yi, WANG Fen, et al. Anisotropy of shear wave elastography in breast lesions and its correlation with histopathology [J]. Chinese Journal of Ultrasonography, 2017, 26(3): 254-258.
[1] DONG Xiangjun, LI Juan, KONG Xue, LI Peilong, ZHAO Wenjing, LIANG Yiran, WANG Lili, DU Lutao, WANG Chuanxin. Effects of circular RNA hsa_circ_0008591 on tumor biological behavior of breast cancer cells [J]. Journal of Shandong University (Health Sciences), 2023, 61(2): 78-87.
[2] ZHANG Jianshu, ZHANG Hanwen, ZHAO Wenjing. LncRNA ZNF528-AS1 promotes tamoxifen resistance and progression of breast cancer [J]. Journal of Shandong University (Health Sciences), 2023, 61(1): 17-26.
[3] LIN Yun, XIE Yanqiu. Fertility protection and preservation in breast cancer patients [J]. Journal of Shandong University (Health Sciences), 2022, 60(9): 42-46.
[4] HE Shiqing, LI Wanwan, DONG Shuqing, MOU Jingyi, LIU Yuying, WEI Siyu, LIU Zhao, ZHANG Jiaxin. Construction of a prognostic risk model of pyroptosis-related genes in breast cancer based on database [J]. Journal of Shandong University (Health Sciences), 2022, 60(8): 34-43.
[5] YANG Qifeng, ZHANG Ning. Sentinel lymph node biopsy of breast cancer in the era of precision medicine [J]. Journal of Shandong University (Health Sciences), 2022, 60(8): 1-5.
[6] AILI Aixingzi, GUO Zhengyu, ZHANG Xiaofei. Latest research advances of high intensity focused ultrasound treatment for adenomyosis [J]. Journal of Shandong University (Health Sciences), 2022, 60(7): 36-42.
[7] REN Dazhuang, ZHOU Weiyan, ZHAO Bojun. A case report of corneoscleral iron filing-like foreign body [J]. Journal of Shandong University (Health Sciences), 2022, 60(7): 129-132.
[8] ZHANG Yixin, ZHAO Yuli, FENG Li. Ultrasound characteristics and preoperative CA-125 level in the differential diagnosis of 51 cases of borderline ovarian and stage I malignant tumors [J]. Journal of Shandong University (Health Sciences), 2022, 60(7): 104-109.
[9] TAO Guowei, WANG Fang, DONG Xiangyi, XU Yaxuan, ZHAO Linli, HU Beibei. Diagnosis of adenomyosis using ultrasound and magnetic resonance imaging [J]. Journal of Shandong University (Health Sciences), 2022, 60(7): 56-65.
[10] KUANG Fengxia, ZHAO Xiaohong, HAN Baojia, GAO Chengjie. Optimal anesthesia depth with propofol closed-loop administration to effectively inhibit surgical stress response in patients undergoing robot-assisted radical thyroidectomy via bilateral axillo-breast approach [J]. Journal of Shandong University (Health Sciences), 2022, 60(5): 81-86.
[11] DONG Liang, CUI Wenchao, ZHOU Qing, ZHANG Longyun, ZHOU Wei, ZHANG Xin, ZHAO Chao. Comparison of ultrasound and enhanced CT percutaneous puncture of mixed density chest lesions [J]. Journal of Shandong University (Health Sciences), 2022, 60(5): 98-103.
[12] ZHAO Tingting, QI Yana, ZHANG Ying, YUAN Bing, HAN Mingyong. Mouse breast cancer induces changes of the microenvironment in pre-metastatic lung tissue [J]. Journal of Shandong University (Health Sciences), 2022, 60(4): 24-29.
[13] Yajie ZHOU,Fei WANG,Lixiang YU,Zhigang YU. Factors related to decision-making of breast-conserving surgery for female breast cancer [J]. Journal of Shandong University (Health Sciences), 2022, 60(12): 1-6.
[14] FENG Haigang, LIU Guowen, CAO Hong. Effects and mechanism of interfering MAD2L1 gene expression on the apoptosis of breast cancer cells [J]. Journal of Shandong University (Health Sciences), 2022, 60(10): 9-16.
[15] CHU Zhuxiu, ZHAO Wenjing, LI Xiaoyan, KONG Xiaoli, MA Tingting, JIANG Liyu, YANG Qifeng. Significance of neoadjuvant chemotherapy and molecular marker changes in 218 women with breast cancer [J]. Journal of Shandong University (Health Sciences), 2021, 59(9): 130-139.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!