Original articles

Superb microvascular imaging in combination with ultrasonic elastography and high-frequency ultrasound in micro breast cancer:an assessment on the diagnostic efficacy and screening for high-risk features on ultrasound

Expand
  • a. Department of Ultrasound, b. Department of Tumor Biotherapy, The Third Affiliated Hospital of Suzhou University, Jiangsu Changzhou 213000, China

Received date: 2020-03-03

  Online published: 2022-07-15

Abstract

Objective: To analyze the diagnostic value of superb microvascular imaging (SMI) in combination with ultrasonic elastography (UE) and high-frequency ultrasonography on micro breast cancer and screening for high-risk features on ultrasound. Methods: A total of 87 breast lesions from 85 patients were collected. The maximum diameters of the lesions were no more than 1 cm,and all lesions were classified as BI-RADS (Breast Imaging Reporting and Data System) 4. The lesions were grouped into benign and malignant groups based on results of postoperative pathology. The characteristics of grey-scale ultrasound and color Doppler flow imaging(CDFI), SMI and elasticity scores of the lesions were compared between 2 groups and high-risk features on ultrasound for micro breast cancer were screened. Results: Univariate analysis showed that lesion morphology, margin, calcification status, elasticity score, SMI and CDFI classification were statistically different between benign and malignant groups (P<0.05). Multivariate Logistic regression analysis revealed that lesions with ill-defined margin, elasticity score ≥4 or Adler scale of SMI ≥Ⅱ were independently predicting factors for micro breast cancer. The accuracy of combining the three indices for diagnosing micro breast cancer was 81.61%, higher than any single one. Conclusions: High-risk features of micro breast cancer on ultrasound include Adler scale SMI≥Ⅱ and elasticity score ≥4. Both features in combination with ill-defined margin show good diagnostic efficiency for micro breast cancer, which may provide an important reference for clinical diagnosis.

Cite this article

LU Yejun, CHEN Hui, ZHANG Jian, XU Bin, WANG Chong, HE Ye . Superb microvascular imaging in combination with ultrasonic elastography and high-frequency ultrasound in micro breast cancer:an assessment on the diagnostic efficacy and screening for high-risk features on ultrasound[J]. Journal of Diagnostics Concepts & Practice, 2020 , 19(04) : 391 -396 . DOI: 10.16150/j.1671-2870.2020.04.013

References

[1] Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015[J]. CA Cancer J Clin, 2016, 66(2):115-132.
[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] 蒋芳艳, 李智贤, 田桂湘, 等. 超声、钼钯、MRI对乳腺癌诊断价值的Meta分析[J]. 广西医学, 2012, 34(1):16-20.
[4] Chen M, Zhan WW, Wang WP. Cystic breast lesions by conventional ultrasonography: sonographic subtype-pathologic correlation and BI-RADS assessment[J]. Arch Med Sci, 2014, 10(1):76-83.
[5] Machado P, Segal S, Lyshchik A, et al. A novel microvascular flow technique: initial results in thyroids[J]. Ultrasound Q, 2016, 32(1):67-74.
[6] Ophir J, Céspedes I, Ponnekanti H, et al. Elastography: a quantitative method for imaging the elasticity of biolo-gical tissues[J]. Ultrason Imaging, 1991, 13(2):111-134.
[7] American College of Radiology. ACR BI-RADS Ultrasound. ACR Breast Imaging Reporting and Data System[M]. 5th ed. Reston VA: American College of Radiology, 2013.
[8] 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.
[9] Adler DD, Carson PL, Rubin JM, et al. Doppler ultrasound color flow imaging in the study of breast cancer: preliminary findings[J]. Ultrasound Med Biol, 1990, 16(6):553-559.
[10] Sinn HP, Kreipe H. A brief overview of the WHO Classification of Breast Tumors, 4th edition, focusing on issues and updates from the 3rd edition[J]. Breast Care (Basel), 2013, 8(2):149-154.
[11] 杨莹莹, 黄健源, 黄美枝, 等. 超声BI-RADS分类在微小乳腺癌诊断中的临床价值[J]. 中国临床医学影像杂志, 2017, 28(11):789-792.
[12] 刘金苹, 贵玉, 马棣, 等. 微小乳腺癌的超声恶性征象研究[J]. 临床和实验医学杂志, 2016, 13(13):1338-1340, 1341.
[13] Kim J, Woo HY, Kim EK, et al. Metastatic osteosarcoma to the breast presenting as a densely calcified mass on mammography[J]. J Breast Cancer, 2016, 19(1):87-91.
[14] 郝少云, 欧冰, 钟文景, 等. 弹性成像对新版BI-RADS-US评估乳腺肿物良恶性的价值[J]. 中国超声医学杂志, 2015, 31(4):292-295.
[15] 刘宇杰, 李紫瑶, 车国英, 等. 多模态超声特征分析乳腺小肿块恶性可能的风险因素[J]. 哈尔滨医科大学学报, 2019, 53(1):58-61,65.
[16] Sigrist RMS, Liau J, Kaffas AE, et al. Ultrasound elastography: Review of techniques and clinical applications[J]. Theranostics, 2017, 7(5):1303-1329.
[17] 薛雯, 杨柳茵, 范丽, 等. 超微血管成像技术鉴别乳腺良恶性病变[J]. 中国医学影像技术, 2019, 35(1):77-81.
[18] 冷晓玲, 黄国福, 马富成. 乳腺癌病灶大小与超声造影表现的相关性[J]. 中华超声影像学杂志, 2015, 24(4):324-327.
[19] 孔晶, 杨薇, 金金, 等. 超微血管显像、能量多普勒及彩色多普勒血流显像对甲状腺结节的诊断价值比较[J]. 中华超声影像学杂志, 2018, 27(7):595-598.
[20] 张剑, 陈卉, 徐斌, 等. 超微血管成像、高级动态血流显像、彩色多普勒血流显像对乳腺微小癌的诊断价值及其与病理肿瘤微血管密度的相关性研究[J]. 中华超声影像学杂志, 2019, 28(9):787-793.
[21] 范向阳, 李紫瑶, 申凯凯, 等. 剪切波弹性成像联合超微血管显像在乳腺肿块良恶性鉴别诊断中的应用[J]. 中华超声影像学杂志, 2016, 25(9):795-799.
[22] Lee JH, Kim SH, Kang BJ, et al. Role and clinical usefulness of elastography in small breast masses[J]. Acad Radiol, 2011, 18(1):74-80.
Outlines

/