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近5年超声新技术在乳腺癌预后评估中的研究进展

王耀晨,  房秀霞,  樊炳慧,  包森林

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文章导航 > 分子影像学杂志  > 2023 >  46(6): 1133-1137
王耀晨, 房秀霞, 樊炳慧, 包森林. 近5年超声新技术在乳腺癌预后评估中的研究进展[J]. 分子影像学杂志, 2023, 46(6): 1133-1137. doi: 10.12122/j.issn.1674-4500.2023.06.31
引用本文: 王耀晨, 房秀霞, 樊炳慧, 包森林. 近5年超声新技术在乳腺癌预后评估中的研究进展[J]. 分子影像学杂志, 2023, 46(6): 1133-1137. doi: 10.12122/j.issn.1674-4500.2023.06.31
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WANG Yaochen, FANG Xiuxia, FAN Binghui, BAO Senlin. Research progress of new ultrasound techniques in the prognosis assessment of breast cancer in recent five years[J]. Journal of Molecular Imaging, 2023, 46(6): 1133-1137. doi: 10.12122/j.issn.1674-4500.2023.06.31
Citation: WANG Yaochen, FANG Xiuxia, FAN Binghui, BAO Senlin. Research progress of new ultrasound techniques in the prognosis assessment of breast cancer in recent five years[J]. Journal of Molecular Imaging, 2023, 46(6): 1133-1137. doi: 10.12122/j.issn.1674-4500.2023.06.31
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近5年超声新技术在乳腺癌预后评估中的研究进展

doi: 10.12122/j.issn.1674-4500.2023.06.31
  • 1.

    内蒙古医科大学，内蒙古 呼和浩特 010010

  • 2.

    内蒙古医科大学附属医院超声医学科，内蒙古 呼和浩特 010010

  • 3.

    内蒙古自治区人民医院超声医学科，内蒙古 呼和浩特 010010

基金项目: 

内蒙古自治区自然科学基金 2019LH08020

内蒙古自治区自然科学基金 2021LHMS08049

内蒙古医科大学科技百万工程联合项目 YKD2018KJBW(LH)033

详细信息
    作者简介:

    王耀晨，在读硕士研究生，E-mail: 826444168@qq.com

    通讯作者:

    房秀霞，主任医师，E-mail: 13848100988@163.com

Research progress of new ultrasound techniques in the prognosis assessment of breast cancer in recent five years

  • 1.

    Inner Mongolia Medical University, Hohhot 010010, China

  • 2.

    Department of Ultrasound Diagnostic, the Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010010, China

  • 3.

    Ultrasound Medicine Department, Inner Mongolia Autonomous Region People's Hospital, Hohhot 010010, China

    摘要
  • 摘要: 乳腺癌是全球女性癌症死亡的首要原因，精准医疗、改善预后局面至关重要。乳腺癌肿瘤异质性很强，术前评估影响预后的因素可指导临床选择治疗方案和监测疗效。近几年，剪切波弹性成像、超声造影、三维超声、超声影像组学、人工智能乳腺超声等超声新技术在无创评估乳腺癌预后方面取得了令人满意的进展。本文就乳腺癌的预后因素及其临床意义、近5年超声新技术诊断乳腺癌特征与预后因素的相关性研究进展进行综述。

     

    Abstract: Breast cancer is the leading malignant tumor in women worldwide. Precision medicine and improving prognosis are crucial. Breast cancer is a tumor with strong heterogeneity. Preoperative overall assessment of prognostic factors is very important for clinical treatment options and monitoring efficacy. In recent years, new ultrasound technologies such as shear wave elastography, contrast-enhanced ultrasound, three- dimensional ultrasound, ultrasound radiomics, and artificial intelligence breast ultrasound have made satisfactory progress in non-invasive assessment of breast cancer prognosis. This article reviews the prognostic factors of breast cancer and its clinical significance, research progress on correlation between characteristics and prognostic factors of breast cancer diagnosed by new ultrasound techniques in recent 5 years.

     

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    • 参考文献(34)
  • [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): 209-49. doi: 10.3322/caac.21660
    [2] Xia CF, Dong XS, Li H, et al. Cancer statistics in China and United States, 2022: profiles, trends, and determinants[J]. Chin Med J, 2022, 135(5): 584-90. doi: 10.1097/CM9.0000000000002108
    [3] 吴昊, 张可新, 冯佩明, 等. 524例乳腺浸润性导管癌的超声征象与多种免疫组化因子表达的相关性[J]. 分子影像学杂志, 2022, 45(5): 709-17. doi: 10.12122/j.issn.1674-4500.2022.05.16
    [4] Cserni G, Chmielik E, Cserni B, et al. The new TNM-based staging of breast cancer[J]. Virchows Arch, 2018, 472(5): 697-703. doi: 10.1007/s00428-018-2301-9
    [5] Waks AG, Winer EP. Breast cancer treatment: a review[J]. JAMA, 2019, 321(3): 288-300. doi: 10.1001/jama.2018.19323
    [6] Boughey JC, Hoskin TL, Goetz MP. Neoadjuvant chemotherapy and nodal response rates in luminal breast cancer: effects of age and tumor Ki67[J]. Ann Surg Oncol, 2022, 29(9): 5747-56. doi: 10.1245/s10434-022-11871-z
    [7] 中国抗癌协会肿瘤标志专业委员会乳腺癌标志物协作组. 基于靶标指导乳腺癌精准治疗标志物临床应用专家共识(2022版)[J]. 中国癌症防治杂志, 2022, 14(4): 346-62. https://www.cnki.com.cn/Article/CJFDTOTAL-ZAZF202204001.htm
    [8] Youk JH, Gweon HM, Son EJ. Shear-wave elastography in breast ultrasonography: the state of the art[J]. Ultrasonography, 2017, 36 (4): 300-9. doi: 10.14366/usg.17024
    [9] 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): 265-73. doi: 10.14366/usg.20007
    [10] 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. doi: 10.1097/RUQ.0000000000000471
    [11] Liu C, Zhou J, Chang C, et al. Feasibility of shear wave elastographyimaging for evaluating the biological behavior of breast cancer [J]. Front Oncol, 2022, 11: 820102. doi: 10.3389/fonc.2021.820102
    [12] Jin LF, Wang RT, Zhuang LL, et al. Evaluation of whole axillary status with lymphatic contrast-enhanced ultrasound in patients with breast cancer[J]. Eur Radiol, 2022, 32(1): 630-8. doi: 10.1007/s00330-021-08100-8
    [13] 胥桐, 郭丽苹, 方红, 等. 经皮超声造影对乳腺癌前哨淋巴结的定性评估[J]. 中国医学影像学杂志, 2020, 28(2): 86-9, 94. doi: 10.3969/j.issn.1005-5185.2020.02.002
    [14] Fang KJ, Wang LF, Huang HY, et al. Construction of nucleolin-targeted lipid nanobubbles and contrast-enhanced ultrasound molecular imaging in triple-negative breast cancer[J]. Pharm Res, 2020, 37 (7): 1-13.
    [15] Vraka I, Panourgias E, Sifakis E, et al. Correlation between contrast-enhanced ultrasound characteristics (qualitative and quantitative) and pathological prognostic factors in breast cancer[J]. Vivo, 2018, 32(4): 945-54. doi: 10.21873/invivo.11333
    [16] 高军喜, 王雅婷, 杨磊, 等. 乳腺癌超声造影特征及边缘带定量参数与生物学预后因子相关性研究[J]. 中国超声医学杂志, 2019, 35(4): 306-9. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY201904007.htm
    [17] 吴芳, 成静, 马婷, 等. 不同分子分型乳腺癌的超声造影特征分析[J]. 临床超声医学杂志, 2019, 21(1): 1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-LCCY201901042.htm
    [18] 朱阳阳, 聂芳, 吕文豪, 等. 乳腺癌常规超声及超声造影特征与HER- 2表达的相关性研究[J]. 中国超声医学杂志, 2020, 36(7): 606-9. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY202007011.htm
    [19] 左文思, 葛妍, 黄思, 等. 超声造影定量分析在乳腺浸润性导管癌预后评估中的应用[J]. 分子影像学杂志, 2021, 44(2): 321-6. doi: 10.12122/j.issn.1674-4500.2021.02.21
    [20] Jiang J, Chen YQ, Xu YZ, et al. Correlation between three-dimensional ultrasound features and pathological prognostic factors in breast cancer[J]. Eur Radiol, 2014, 24(6): 1186-96. doi: 10.1007/s00330-014-3135-8
    [21] 祁冰, 李紫瑶, 田家玮. 三维超声在不同分子分型乳腺癌诊断中的应用研究[J]. 中华超声影像学杂志, 2020, 29(3): 249-54.
    [22] 李静敏, 邵玉红, 孙秀明, 等. 乳腺三阴性非特殊型浸润性癌自动乳腺全容积成像特点[J]. 中国介入影像与治疗学, 2022, 19(10): 637-40. https://www.cnki.com.cn/Article/CJFDTOTAL-JRYX202210007.htm
    [23] 刘韬, 陈庭威, 严宝妹, 等. 自动乳腺全容积扫描冠状面所见联合肿瘤标记物评估乳腺癌腋窝淋巴结转移[J]. 中国医学影像技术, 2022, 38(8): 1177-80. https://www.cnki.com.cn/Article/CJFDTOTAL-ZYXX202208011.htm
    [24] 黄思, 肖耀成, 李建, 等. 乳腺癌患者自动乳腺容积冠状面特征与Ki67、C-erbB-2的相关性[J]. 分子影像学杂志, 2021, 44(6): 900-4. doi: 10.12122/j.issn.1674-4500.2021.06.03
    [25] Kang HJ, Kim JY, Lee NK, et al. Three-dimensional versus two-dimensional shear-wave elastography: associations of mean elasticity values with prognostic factors and tumor subtypes of breast cancer [J]. Clin Imag, 2018, 48: 79-85. doi: 10.1016/j.clinimag.2017.10.007
    [26] Hu ZY, Cheng XQ, Li J, et al. Preliminary study of real-time three-dimensional contrast-enhanced ultrasound of sentinel lymph nodes in breast cancer[J]. Eur Radiol, 2020, 30(3): 1426-35. doi: 10.1007/s00330-019-06494-0
    [27] 巫明钢, 李娟, 卢漫, 等. 乳腺癌前哨淋巴结二维及三维超声造影的对比研究[J]. 中国超声医学杂志, 2020, 36(5): 398-401. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGCY202005005.htm
    [28] Cho GY, Moy L, Kim SG, et al. Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors[J]. Eur Radiol, 2016, 26(8): 2547-58. doi: 10.1007/s00330-015-4087-3
    [29] 李佳伟, 时兆婷, 郭翌, 等. 超声影像组学对浸润性乳腺癌激素受体表达预测价值的探索性研究[J]. 肿瘤影像学, 2017, 26(2): 128-35. https://www.cnki.com.cn/Article/CJFDTOTAL-YXYX201702010.htm
    [30] Wu LY, Zhao YJ, Lin P, et al. Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ[J]. BMC Med Imaging, 2021, 21(1): 84. doi: 10.1186/s12880-021-00610-7
    [31] Bene I, Ciurea AI, Ciortea CA, et al. Radiomic signatures derived from hybrid contrast- enhanced ultrasound images (CEUS) for the assessment of histological characteristics of breast cancer: a pilot study[J]. Cancers, 2022, 14(16): 3905. doi: 10.3390/cancers14163905
    [32] Wang XY, Xie TS, Luo JR, et al. Radiomics predicts the prognosis of patients with locally advanced breast cancer by reflecting the heterogeneity of tumor cells and the tumor microenvironment[J]. Breast Cancer Res, 2022, 24(1): 20. doi: 10.1186/s13058-022-01516-0
    [33] Lee SE, Han K, Kwak JY, et al. Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma[J]. Sci Rep, 2018, 8: 13546. doi: 10.1038/s41598-018-31906-4
    [34] Zheng XY, Yao Z, Huang YN, et al. Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer[J]. Nat Commun, 2020, 11(1): 1236. doi: 10.1038/s41467-020-15027-z
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  • 收稿日期:  2023-08-07
  • 网络出版日期:  2023-12-26
  • 刊出日期:  2023-11-20

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