剪切波弹性成像在乳腺癌诊断中的应用现状

doi:10.16150/j.1671-2870.2019.02.020

摘要/Abstract

中图分类号:

R737.9

唐桢云, 詹维伟. 剪切波弹性成像在乳腺癌诊断中的应用现状[J]. 诊断学理论与实践, 2019, 18(2): 223-227.

图/表 1

参考文献 36

[1]	Hooley RJ, Scoutt LM, Philpotts LE. Breast ultrasonography: state of the art[J]. Radiology, 2013, 268(3):642-659.
[2]	Liu B, Zheng Y, Huang G, et al. Breast Lesions: Quantitative Diagnosis Using Ultrasound Shear Wave Elastography-A Systematic Review and Meta--Analysis[J]. Ultrasound Med Biol, 2016, 42(4):835-847.
[3]	Kwak JY, Kim EK. Ultrasound elastography for thyroid nodules: recent advances[J]. Ultrasonography, 2014, 33(2):75-82.
[4]	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, 43(5):1148-1160.
[5]	Cosgrove D, Piscaglia F, Bamber J, et al. EFSUMB guidelines and recommendations on the clinical use of ultrasound elastography. Part 2: Clinical applications[J]. Ultraschall Med, 2013, 34(3):238-253.
[6]	Itoh A, Ueno E, Tohno E, et al. Breast disease: clinical application of US elastography for diagnosis[J]. Radiology, 2006, 239(2):341-350.
[7]	Au FW, Ghai S, Moshonov H, et al. Diagnostic performance of quantitative shear wave elastography in the evaluation of solid breast masses: determination of the most discriminatory parameter[J]. Am J Roentgenol, 2014, 203(3):W328-W336.
[8]	Balleyguier C, Ciolovan L, Ammari S, et al. Breast elastography: the technical process and its applications[J]. Diagn Interv Imaging, 2013, 94(5):503-513.
[9]	Youk JH, Son EJ, Park AY, et al. Shear-wave elastography for breast masses: local shear wave speed (m/sec) versus Young modulus(kPa)[J]. Ultrasonography, 2013, 33(1):34-39.
[10]	Lee SH, Cho N, Chang JM, et al. Two-view versus single-view shear-wave elastography: comparison of observer performance in differentiating benign from malignant breast masses[J]. Radiology, 2014, 270(2):344-353.
[11]	Kim S, Choi S, Choi Y, et al. Diagnostic performance of shear wave elastography of the breast according to scanning orientation[J]. J Ultrasound Med, 2014, 33(10):1797-1804.
[12]	Blank MAB, Antaki JF. Breast Lesion Elastography Region of Interest Selection and Quantitative Heterogeneity: A Systematic Review and Meta-Analysis[J]. Ultrasound Med Biol, 2017, 43(2):387-397.
[13]	Youk JH, Son EJ, Han K, et al. Performance of shear-wave elastography for breast masses using different region-of-interest(ROI) settings[J]. Acta Radiol, 2017:284185117735562:1-9.
[14]	Youk JH, Gweon HM, Son EJ. Shear-wave elastography in breast ultrasonography: the state of the art[J]. Ultrasonography. 2017 Oct; 36(4):300-309.
[15]	Park HY, Han KH, Yoon JH, et al. Intra-observer reproducibility and diagnostic performance of breast shear-wave elastography in Asian women[J]. Ultrasound Med Biol, 2014, 40(6):1058-1064.
[16]	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.
[17]	Çebi Olgun D, Korkmazer B, Kılıç F, et al. Use of shear wave elastography to differentiate benign and malignant breast lesions[J]. Diagn Interv Radiol, 2014, 20(3):239-244.
[18]	Zhou J, Zhan W, Dong Y, et al. Stiffness of the surroun-ding tissue of breast lesions evaluated by ultrasound elastography[J]. Eur Radiol, 2014, 24(7):1659-1667.
[19]	Tozaki M, Fukuma E. Pattern classification of ShearWave? Elastography images for differential diagnosis between benign and malignant solid breast masses[J]. Acta Radiol, 2011, 52(10):1069-1075.
[20]	Jung CS, Lee SH, Kim HY, et al. Clinical Utility of Shear Wave Elastography Patterns for Differentiating between Benign and Malignant Breast Lesions[J]. J Breast Dis, 2017, 5(2):71-75.
[21]	Hari S, Paul SB, Vidyasagar R, et al. Breast mass chara-cterization using shear wave elastography and ultrasound[J/OL]. Diagn Interv Imaging, 2018-06-10[2018-10-09].https://www.ncbi.nlm.nih.gov/pubmed/30006125.
[22]	Lee SH, Chang JM, Kim WH, et al. Added value of shear-wave elastography for evaluation of breast masses detected with screening US imaging[J]. Radiology, 2014, 273(1):61-69.
[23]	Barr RG, Zhang Z, Cormack JB, et al. Probably benign lesions at screening breast US in a population with elevated risk: prevalence and rate of malignancy in the ACRIN 6666 trial[J]. Radiology, 2013, 269(3):701-712.
[24]	Cho N, Lim J, Moon WK. Usefulness of ultrasound elastography in reducing the number of Breast Imaging Reporting and Data System category 3 lesions on ultrasonography[J]. Ultrasonography, 2014, 33(2):98-104.
[25]	Choi WJ, Kim HH, Cha JH, et al. Predicting prognostic factors of breast cancer using shear wave elastography[J]. Ultrasound Med Biol, 2014, 40(2):269-274.
[26]	Chang JM, Park IA, Lee SH, et al. Stiffness of tumours measured by shear-wave elastography correlated with subtypes of breast cancer[J]. Eur Radiol, 2013, 23(9):2450-2458.
[27]	Evans A, Whelehan P, Thompson A, et al. Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy for Primary Breast Cancer Comparing Interim Ultrasound, Shear Wave Elastography and MRI[J]. Ultraschall Med, 2018, 39(4):422-431.
[28]	Jing H, Cheng W, Li ZY, et al. Early Evaluation of Re-lative Changes in Tumor Stiffness by Shear Wave Elastography Predicts the Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer[J]. J Ultrasound Med, 2016, 35(8):1619-1627.
[29]	Tamaki K, Tamaki N, Kamada Y, et al. Non-invasive evaluation of axillary lymph node status in breast cancer patients using shear wave elastography[J]. Tohoku J Exp Med, 2013, 231(3):211-216.
[30]	Youk JH, Son EJ, Kim JA, et al. Pre-Operative Evaluation of Axillary Lymph Node Status in Patients with Suspected Breast Cancer Using Shear Wave Elastography[J]. Ultrasound Med Biol, 2017, 43(8):1581-1586.
[31]	Balleyguier C, Ciolovan L, Ammari S, et al. Breast elastography: the technical process and its applications[J]. Diagn Interv Imaging, 2013, 94(5):503-513.
[32]	Kim MY, Choi N, Yang JH, et al. False positive or negative results of shear-wave elastography in differentiating benign from malignant breast masses: analysis of clinical and ultrasonographic characteristics[J]. Acta Radiol, 2015, 56(10):1155-1162.
[33]	Kılıç F, Kayadibi Y, Kocael P, et al. Changes in the elasticity of fibroadenoma during the menstrual cycle determined by real-time sonoelastography[J]. Eur J Radiol, 2015, 84(6):1044-1048.
[34]	Xue Y, Yao S, Li X, et al. Value of shear wave elastography in discriminating malignant and benign breast lesions: A meta-analysis[J]. Medicine (Baltimore), 2017, 96(42):e7412.
[35]	Lee SH, Chang JM, Kim WH, et al. Differentiation of benign from malignant solid breast masses: comparison of two-dimensional and three-dimensional shear-wave elastography[J]. Eur Radiol, 2013, 23(4):1015-1026.
[36]	Youk JH, Gweon HM, Son EJ, et al. Three-dimensional shear-wave elastography for differentiating benign and malignant breast lesions: comparison with two-dimensio-nal shear-wave elastography[J]. Eur Radiol, 2013, 23(6):1519-1527.

剪切波弹性成像在乳腺癌诊断中的应用现状

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 1

参考文献 36

相关文章 9

编辑推荐

Metrics

本文评价

[1]	李伟伟, 吴迎, 周伟, 詹维伟, 周庆华, 陶玲玲, 杨雁雯. 超微血管三维立体成像技术对BI-RADS 4类乳腺肿块血流显示及鉴别良恶性的价值研究[J]. 诊断学理论与实践, 2020, 19(06): 583-587.
[2]	李伟伟, 詹维伟, 周伟, 陶玲玲, 王怡, 樊金芳, 费圆欣, 况李君, 徐文颖. 超微血管三维立体成像技术在乳腺癌血流分布模式中的应用[J]. 诊断学理论与实践, 2019, 18(2): 139-143.
[3]	季沁, 周一帆, 陈茉, 李杰, 丁文波, 钱涛, 褚晓秋, 王建华, 徐书杭, 刘超. 弹性成像联合ACR-TIRADS诊断甲状腺结节良恶性的临床价值研究[J]. 诊断学理论与实践, 2019, 18(03): 307-312.
[4]	何峥, 徐菲, 吴凡, 高志玲,. 实时超声弹性成像组织弥散定量诊断慢性淋巴细胞性甲状腺炎的初步探讨[J]. 诊断学理论与实践, 2015, 14(05): 433-436.
[5]	陈晓姣, 潘自来, 李丽蟾, 牛建梅, 陈曼, 贾宛儒,. BI-RADS-US第二版超声弹性成像在乳腺疾病诊断中的应用价值[J]. 诊断学理论与实践, 2015, 14(03): 239-243.
[6]	金正吉, 詹维伟, 贾晓红, 周建桥, 张晓晓, 朱樱,. 女性乳腺超声分型与乳腺肿块良恶性间的相关性[J]. 诊断学理论与实践, 2013, 12(05): 549-552.
[7]	周建桥, 周春, 詹维伟, 张晓晓, 朱樱,. 超声弹性成像诊断乳腺良恶性病变的价值[J]. 诊断学理论与实践, 2011, 10(03): 243-246.
[8]	任新平, 詹维伟,. 超声弹性成像在乳腺疾病中的应用[J]. 诊断学理论与实践, 2007, 6(02): 166-168.
[9]	郭续胜,王丽,刘瑞林,张晓卉,范厚臻. 382例乳腺肿块细针吸取细胞学检查结果分析[J]. 诊断学理论与实践, 2005, 4(04): 326-327.