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原发性乳腺癌患者的淋巴结成像:同时应用的诊断工具。

Lymph Node Imaging in Patients with Primary Breast Cancer: Concurrent Diagnostic Tools.

机构信息

Department of Biomedical Sciences and Morphologic and Functional Imaging, Policlinico Universitario G. Martino, University of Messina, Messina, Italy.

Department of Breast Imaging, Breast Cancer Center TecSalud, Instituto Tecnológico de Estudios Superiores (ITESM) Monterrey, Nuevo Leon, Mexico.

出版信息

Oncologist. 2020 Feb;25(2):e231-e242. doi: 10.1634/theoncologist.2019-0427. Epub 2019 Oct 14.


DOI:10.1634/theoncologist.2019-0427
PMID:32043792
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7011661/
Abstract

The detection of lymph node metastasis affects the management of patients with primary breast cancer significantly in terms of staging, treatment, and prognosis. The main goal for the radiologist is to determine and detect the presence of metastatic disease in nonpalpable axillary lymph nodes with a positive predictive value that is high enough to initially select patients for upfront axillary lymph node dissection. Features that are suggestive of axillary adenopathy may be seen with different imaging modalities, but ultrasound is the method of choice for evaluating axillary lymph nodes and for performing image-guided lymph node interventions. This review aims to provide a comprehensive overview of the available imaging modalities for lymph node assessment in patients diagnosed with primary breast cancer. IMPLICATIONS FOR PRACTICE: The detection of lymph node metastasis affects the management of patients with primary breast cancer. The main goal for the radiologist is to detect lymph node metastasis in patients to allow for the selection of patients who should undergo upfront axillary lymph node dissection. Features that are suggestive of axillary adenopathy may be seen with mammography, computed tomography, and magnetic resonance imaging, but ultrasonography is the imaging modality of choice for evaluating axillary lymph nodes. A normal axillary lymph node is characterized by a reniform shape, a maximal cortical thickness of 3 mm without focal bulging, smooth margins, and, depending on size, a discernable central fatty hilum.

摘要

淋巴结转移的检测对原发性乳腺癌患者的分期、治疗和预后有显著影响。放射科医生的主要目标是确定和检测触诊阴性腋窝淋巴结中转移性疾病的存在,其阳性预测值要足够高,以便最初选择患者进行 upfront 腋窝淋巴结清扫。不同的成像方式可能会显示出提示腋窝淋巴结病的特征,但超声是评估腋窝淋巴结和进行图像引导的淋巴结介入的首选方法。本综述旨在全面概述用于评估原发性乳腺癌患者淋巴结的现有成像方式。

临床意义:淋巴结转移的检测会影响原发性乳腺癌患者的管理。放射科医生的主要目标是检测出患者的淋巴结转移,以便选择应接受 upfront 腋窝淋巴结清扫的患者。触诊阴性腋窝淋巴结的特征可能会在乳腺 X 线摄影、计算机断层扫描和磁共振成像中显示出来,但超声是评估腋窝淋巴结的首选成像方式。正常腋窝淋巴结的特征为肾形,皮质最大厚度<3mm 且无局灶性膨出,边缘光滑,根据大小,可识别中央脂肪门。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d3/7011661/79c8d5da8756/ONCO-25-e231-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d3/7011661/3c814bfb8334/ONCO-25-e231-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d3/7011661/79c8d5da8756/ONCO-25-e231-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d3/7011661/3c814bfb8334/ONCO-25-e231-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66d3/7011661/79c8d5da8756/ONCO-25-e231-g003.jpg

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[1]
Lymph Node Imaging in Patients with Primary Breast Cancer: Concurrent Diagnostic Tools.

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[3]
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[3]
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Curr Issues Mol Biol. 2025-5-20

[4]
Intraoperative ultrasound-guided wire(IOUS-wire) localization biopsy versus preoperative fine needle aspiration cytology(FNAC) for early breast cancer with clinically positive nodes, a retrospective cohort study.

World J Surg Oncol. 2025-7-22

[5]
Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer.

Sci Rep. 2025-7-18

[6]
The Role of Multiparametric MRI Radiomics for Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Invasive Breast Cancer: A Comparative Study.

Cancer Innov. 2025-7-13

[7]
Sentinel lymph node biopsy omission in early-stage breast cancer: current evidence and clinical practice.

Front Oncol. 2025-6-19

[8]
Preoperative ultrasonography-guided core-needle biopsy-based factors for predicting the upgrade of axillary lymph nodes in breast cancer.

Quant Imaging Med Surg. 2025-6-6

[9]
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Breast Cancer Res. 2025-7-1

[10]
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本文引用的文献

[1]
Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Mammography-Based Radiomics Method.

Sci Rep. 2019-3-14

[2]
Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer.

Eur Radiol. 2019-7

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Predictive Value of Preoperative Multidetector-Row Computed Tomography for Axillary Lymph Nodes Metastasis in Patients With Breast Cancer.

Front Oncol. 2019-1-8

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J Clin Imaging Sci. 2018-12-12

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Pre-operative Conventional Ultrasound and Sonoelastography Evaluation for Predicting Axillary Lymph Node Metastasis in Patients with Malignant Breast Lesions.

Ultrasound Med Biol. 2018-12

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Zhongguo Yi Liao Qi Xie Za Zhi. 2017-9-30

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Breast cancer MRI radiomics: An overview of algorithmic features and impact of inter-reader variability in annotating tumors.

Med Phys. 2018-5-11

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A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

J Cancer Res Clin Oncol. 2018-2-9

[10]
Rapid review: radiomics and breast cancer.

Breast Cancer Res Treat. 2018-2-2

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