Suppr超能文献

剪切波弹性成像在乳腺癌腋窝良恶性转移淋巴结鉴别诊断中的定性分类

Qualitative Classification of Shear Wave Elastography for Differential Diagnosis Between Benign and Metastatic Axillary Lymph Nodes in Breast Cancer.

作者信息

Luo Shuyi, Yao Guangyu, Hong Zhe, Zhang Shiyu, Wang Weizhen, Zhang Jingwen, Zhang Yaru, Wu Junkai, Zhang Li, Cheng Hong, Hao Yi, Li Yingjia

机构信息

Department of Medicine Ultrasonics, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Breast Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.

出版信息

Front Oncol. 2019 Jul 2;9:533. doi: 10.3389/fonc.2019.00533. eCollection 2019.

Abstract

To examine diagnostic performance of qualitative shear wave elastography (SWE) for evaluation of status of axillary lymph nodes (ALN) in comparison with conventional ultrasonograghy (US) and quantitative SWE parameters. A total of 118 patients were enrolled, who were all scheduled for breast cancer surgery and core needle biopsy. Conventional US and SWE were performed before biopsy. Based on qualitative evaluation of each ALN, the SWE images were classified into four color patterns: Color Pattern 1: homogeneous; Color Pattern 2: filling defect within lymph node (LN); Color Pattern 3: homogeneous within LN with a localized colored area at the margin; and Color Pattern 4: filling defect within LN with a localized colored area at the margin. The diagnostic performances of the three methods were compared. There were 60 metastatic nodes and 61 benign nodes in the 121 ALNs. Benign ALNs were presented as Color Pattern 1 while metastatic ALNs usually were presented as Color Pattern 2 to 4 ( < 0.05). The AUC of qualitative SWE classification was 0.983, higher than that of quantitative SWE parameters and conventional US (<0.05). The highest diagnostic performance, with AUC of 0.998, could be achieved if both conventional US and qualitative SWE were applied. The qualitative SWE classification of ALNs proposed in our study exhibited better diagnostic performance than quantitative SWE parameters and conventional US, especially for differentiating metastatic ALNs from benign reactive ALNs. More accurate diagnosis could be reached with this new method and unnecessary biopsy might be avoided in the meantime.

摘要

为了研究定性剪切波弹性成像(SWE)在评估腋窝淋巴结(ALN)状态方面的诊断性能,并与传统超声(US)和定量SWE参数进行比较。共纳入118例计划进行乳腺癌手术和粗针活检的患者。在活检前进行传统超声和SWE检查。根据对每个ALN的定性评估,将SWE图像分为四种颜色模式:颜色模式1:均匀;颜色模式2:淋巴结(LN)内充盈缺损;颜色模式3:LN内均匀,边缘有局部着色区域;颜色模式4:LN内充盈缺损,边缘有局部着色区域。比较了三种方法的诊断性能。121个ALN中有60个转移淋巴结和61个良性淋巴结。良性ALN表现为颜色模式1,而转移ALN通常表现为颜色模式2至4(<0.05)。定性SWE分类的AUC为0.983,高于定量SWE参数和传统超声(<?0.05)。如果同时应用传统超声和定性SWE,诊断性能最高,AUC为0.998。我们研究中提出的ALN定性SWE分类在诊断性能上优于定量SWE参数和传统超声,特别是在区分转移ALN和良性反应性ALN方面。使用这种新方法可以实现更准确的诊断,同时可以避免不必要的活检。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e285/6614346/ff8da583d2d1/fonc-09-00533-g0001.jpg

相似文献

2
A new qualitative pattern classification of shear wave elastograghy for solid breast mass evaluation.
Eur J Radiol. 2017 Feb;87:111-119. doi: 10.1016/j.ejrad.2016.12.021. Epub 2016 Dec 21.
5
Diagnostic Accuracy of Shear Wave Elastography as an Adjunct Tool in Detecting Axillary Lymph Nodes Metastasis.
Acad Radiol. 2022 Jan;29 Suppl 1:S69-S78. doi: 10.1016/j.acra.2021.03.018. Epub 2021 Apr 27.
6
Pre-Operative Evaluation of Axillary Lymph Node Status in Patients with Suspected Breast Cancer Using Shear Wave Elastography.
Ultrasound Med Biol. 2017 Aug;43(8):1581-1586. doi: 10.1016/j.ultrasmedbio.2017.03.016. Epub 2017 May 13.
7
Diagnostic performance and color overlay pattern in shear wave elastography (SWE) for palpable breast mass.
Eur J Radiol. 2015 Oct;84(10):1943-8. doi: 10.1016/j.ejrad.2015.06.020. Epub 2015 Jun 23.

引用本文的文献

3
Multiparametric ultrasound assessment of axillary lymph nodes in patients with breast cancer.
Sci Rep. 2024 Oct 4;14(1):23072. doi: 10.1038/s41598-024-73376-x.
7
Recent Advances in Ultrasound Breast Imaging: From Industry to Clinical Practice.
Diagnostics (Basel). 2023 Mar 4;13(5):980. doi: 10.3390/diagnostics13050980.
10
Differential Diagnosis Value of Shear-Wave Elastography for Superficial Enlarged Lymph Nodes.
Front Oncol. 2022 Jun 30;12:908085. doi: 10.3389/fonc.2022.908085. eCollection 2022.

本文引用的文献

1
Performance of shear-wave elastography for breast masses using different region-of-interest (ROI) settings.
Acta Radiol. 2018 Jul;59(7):789-797. doi: 10.1177/0284185117735562. Epub 2017 Oct 23.
2
The value of quantitative shear wave elastography in differentiating the cervical lymph nodes in patients with thyroid nodules.
J Med Ultrason (2001). 2018 Apr;45(2):251-259. doi: 10.1007/s10396-017-0819-0. Epub 2017 Sep 13.
3
Pre-Operative Evaluation of Axillary Lymph Node Status in Patients with Suspected Breast Cancer Using Shear Wave Elastography.
Ultrasound Med Biol. 2017 Aug;43(8):1581-1586. doi: 10.1016/j.ultrasmedbio.2017.03.016. Epub 2017 May 13.
4
Reproducibility and diagnostic performance of shear wave elastography in evaluating breast solid mass.
Clin Imaging. 2017 Jul-Aug;44:42-45. doi: 10.1016/j.clinimag.2017.03.022. Epub 2017 Apr 6.
5
A new qualitative pattern classification of shear wave elastograghy for solid breast mass evaluation.
Eur J Radiol. 2017 Feb;87:111-119. doi: 10.1016/j.ejrad.2016.12.021. Epub 2016 Dec 21.
6
Differential Diagnosis of Breast Category 3 and 4 Nodules Through BI-RADS Classification in Conjunction with Shear Wave Elastography.
Ultrasound Med Biol. 2017 Mar;43(3):601-606. doi: 10.1016/j.ultrasmedbio.2016.10.004. Epub 2016 Dec 14.
7
Ex Vivo Assessment of Sentinel Lymph Nodes in Breast Cancer Using Shear Wave Elastography.
J Ultrasound Med. 2016 Feb;35(2):271-7. doi: 10.7863/ultra.15.03039. Epub 2015 Dec 29.
8
Shear Wave Elastography in Head and Neck Lymph Node Assessment: Image Quality and Diagnostic Impact Compared with B-Mode and Doppler Ultrasonography.
Ultrasound Med Biol. 2016 Feb;42(2):387-98. doi: 10.1016/j.ultrasmedbio.2015.10.019. Epub 2015 Nov 23.
9
Breast lesions: evaluation with shear wave elastography, with special emphasis on the "stiff rim" sign.
Radiology. 2014 Jul;272(1):63-72. doi: 10.1148/radiol.14130818. Epub 2014 Mar 24.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验