1 |
Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J]. CA Cancer J Clin, 2021, 71(3): 209-249.
|
2 |
邹小农, 贾漫漫, 王鑫, 等. «2020全球癌症报告»要点解读 [J]. 中国胸心血管外科临床杂志, 2021, 28(1): 11-18.
|
3 |
叶欣, 周晓云, 杨莉, 等. 不同年龄范围界定下的年轻乳腺癌患者的临床病理特征及预后分析 [J]. 上海交通大学学报(医学版), 2020, 40(3): 351-357.
|
4 |
Budny A, Starosławska E, Budny B, et al. Epidemiologia oraz diagnostyka raka piersi [Epidemiology and diagnosis of breast cancer] [J]. Pol Merkur Lekarski, 2019, 46(275): 195-204.
|
5 |
Youk JH, Kwak JY, Lee E, et al. Grayscale ultrasound radiomic features and shear-wave elastography radiomic features in benign and malignant breast masses [J]. Ultraschall Med, 2020, 41(4): 390-396.
|
6 |
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): 835-47.
|
7 |
Fahad Ullah M. Breast cancer: current perspectives on the disease status [J]. Adv Exp Med Biol, 2019, 1152: 51-64.
|
8 |
Jiang H, Yu X, Zhang L, et al. Diagnostic values of shear wave elastography and strain elastography for breast lesions [J]. Rev Med Chil, 2020, 148(9):1239-1245.
|
9 |
秦婷, 张翠明, 方云梅, 等. 超声不同感兴趣区对剪切波弹性成像诊断乳腺肿瘤的影响 [J]. 医学研究杂志, 2020, 49(10): 105-109, 114.
|
10 |
Yoo J, Seo BK, Park EK, et al. Tumor stiffness measured by shear wave elastography correlates with tumor hypoxia as well as histologic biomarkers in breast cancer [J]. Cancer Imaging, 2020, 20(1): 85.
|
11 |
Gemici AA, Ozal ST, Hocaoglu E, et al. Relationship between shear wave elastography findings and histologic prognostic factors of invasive breast cancer [J]. Ultrasound Q, 2020, 36(1): 79-83.
|
12 |
Coughlin SS. Epidemiology of breast cancer in women [J]. Adv Exp Med Biol, 2019, 1152: 9-29.
|
13 |
Liang M, Ou B, Wu J, et al. Combined use of strain elastography and superb microvascular imaging with grayscale ultrasound according to the BI-RADS classification for differentiating benign from malignant solid breast masses [J]. Clin Hemorheol Microcirc, 2020, 74(4): 391-403.
|
14 |
薛姗姗, 赵巧玲, 阮骊韬, 等. 实时剪切波弹性成像技术在乳腺肿块诊断中的临床应用价值 [J]. 中国临床医学影像杂志, 2019, 30(11): 778-782.
|
15 |
Song EJ, Sohn YM, Seo M. Diagnostic performances of shear-wave elastography and B-mode ultrasound to differentiate benign and malignant breast lesions: the emphasis on the cutoff value of qualitative and quantitative parameters [J]. Clin Imaging, 2018, 50: 302-307.
|
16 |
Suvannarerg V, Chitchumnong P, Apiwat W, et al. Diagnostic performance of qualitative and quantitative shear wave elastography in differentiating malignant from benign breast masses, and association with the histological prognostic factors [J]. Quant Imaging Med Surg, 2019, 9(3): 386-398.
|
17 |
陈继赵, 谢春梅, 孙希文. 剪切波弹性成像技术联合超声BI-RADS分类鉴别诊断乳腺良恶性病变的价值 [J]. 中国医学计算机成像杂志, 2020, 26(4): 359-363.
|
18 |
王磊, 邓克学, 隋秀芳, 等. 超声声脉冲辐射力弹性成像量化技术联合超微血管成像检查对早期乳腺癌的筛查诊断价值研究 [J]. 中国全科医学, 2020, 23(18): 2309-2313.
|
19 |
戚敏, 王颖彦, 沈会明, 等. 剪切波弹性成像与超声造影联合评分对乳腺病灶定性诊断的临床研究 [J]. 南京医科大学学报(自然科学版), 2021, 41(2): 258-261, 285.
|
20 |
Ren WW, Li XL, Wang D, et al. Evaluation of shear wave elastography for differential diagnosis of breast lesions: A new qualitative analysis versus conventional quantitative analysis [J]. Clin Hemorheol Microcirc, 2018, 69(3): 425-436.
|
21 |
Sravani N, Ramesh A, Sureshkumar S, et al. Diagnostic role of shear wave elastography for differentiating benign and malignant breast masses [J]. SA J Radiol, 2020, 24(1): 1999.
|
22 |
Pesce K, Binder F, Chico MJ, et al. Diagnostic performance of shear wave elastography in discriminating malignant and benign breast lesions : our experience with QelaXtoTM software [J]. J Ultrasound, 2020, 23(4): 575-583.
|
23 |
Kim H, Lee J, Kang BJ, et al. What shear wave elastography parameter best differentiates breast cancer and predicts its histologic aggressiveness? [J]. Ultrasonography, 2021, 40(2): 265-273.
|
24 |
王晓童. 剪切波弹性成像技术评价乳腺良恶性肿块的临床研究 [D]. 太原: 山西医科大学, 2017.
|
25 |
黄蕾丹. 基于剪切波超声弹性成像技术定量评估病灶周边组织硬度对乳腺良恶性病灶的诊断价值 [D]. 广州: 广州医科大学, 2018.
|