• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

A non-invasive preoperative model for predicting sentinel lymph node metastasis in breast cancer using clinical data and MRI.

作者信息

Yang Yunqing, Wang Zhulin, Wang Haidong, Wang Yun, Fu Yang

机构信息

Department of Breast Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.

Department of Thoracic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China.

出版信息

BMC Med Imaging. 2025 Aug 21;25(1):343. doi: 10.1186/s12880-025-01890-z.

DOI:10.1186/s12880-025-01890-z
PMID:40841933
Abstract
摘要

相似文献

1
A non-invasive preoperative model for predicting sentinel lymph node metastasis in breast cancer using clinical data and MRI.一种利用临床数据和磁共振成像预测乳腺癌前哨淋巴结转移的非侵入性术前模型。
BMC Med Imaging. 2025 Aug 21;25(1):343. doi: 10.1186/s12880-025-01890-z.
2
Preoperative MRI improves prediction of extensive occult axillary lymph node metastases in breast cancer patients with a positive sentinel lymph node biopsy.术前 MRI 可提高前哨淋巴结活检阳性乳腺癌患者隐匿性腋窝广泛淋巴结转移的预测能力。
Acad Radiol. 2014 Jan;21(1):92-8. doi: 10.1016/j.acra.2013.10.001.
3
The Role of Multiparametric MRI Radiomics for Preoperative Prediction of Axillary Lymph Node Metastasis in Patients With Invasive Breast Cancer: A Comparative Study.多参数MRI影像组学在浸润性乳腺癌患者腋窝淋巴结转移术前预测中的作用：一项比较研究
Cancer Innov. 2025 Jul 13;4(5):e70022. doi: 10.1002/cai2.70022. eCollection 2025 Oct.
4
Development and Validation of an Ultrasound and Clinicopathological Features-Based Nomogram for Predicting Non-Sentinel Lymph Node Metastasis in Breast Cancer Patients: A Single-Center Observational Study.基于超声和临床病理特征的列线图预测乳腺癌患者非前哨淋巴结转移的开发与验证：一项单中心观察性研究
J Clin Ultrasound. 2025 Jun;53(5):975-988. doi: 10.1002/jcu.23960. Epub 2025 Mar 17.
5
Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer.建立一种基于可解释性磁共振成像放射组学的机器学习模型，该模型能够预测浸润性乳腺癌腋窝淋巴结转移。
Sci Rep. 2025 Jul 18;15(1):26030. doi: 10.1038/s41598-025-10818-0.
6
Dynamic contrast-enhanced and diffusion-weighted MRI of invasive breast cancer for the prediction of sentinel lymph node status.浸润性乳腺癌的动态对比增强和扩散加权磁共振成像用于预测前哨淋巴结状态。
J Magn Reson Imaging. 2020 Feb;51(2):615-626. doi: 10.1002/jmri.26865. Epub 2019 Jul 16.
7
Predicting sentinel lymph node metastatic burden with intravoxel incoherent motion diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in clinical early-stage breast cancer patients.在临床早期乳腺癌患者中，利用体素内不相干运动扩散加权成像和动态对比增强磁共振成像预测前哨淋巴结转移负荷
Magn Reson Imaging. 2025 Sep;121:110397. doi: 10.1016/j.mri.2025.110397. Epub 2025 Apr 26.
8
Preoperative focal breast edema on T2-weighted MRI as a predictor of sentinel lymph node metastasis in clinically node-negative T1-2 breast cancer: A retrospective bicentric study.术前T2加权磁共振成像上的乳腺局灶性水肿作为临床淋巴结阴性的T1-2期乳腺癌前哨淋巴结转移的预测指标：一项回顾性双中心研究
Eur J Radiol. 2025 Oct;191:112328. doi: 10.1016/j.ejrad.2025.112328. Epub 2025 Jul 17.
9
Development of a preoperative nomogram to identify low-risk early-stage breast cancer patients eligible for SLNB omission.开发一种术前列线图以识别适合省略前哨淋巴结活检的低风险早期乳腺癌患者。
World J Surg Oncol. 2025 Jul 7;23(1):268. doi: 10.1186/s12957-025-03921-z.
10
Preoperative contrast-enhanced ultrasound combined with intra-lymph node methylene blue injection for sentinel lymph node identification: a minimally invasive sentinel lymph node biopsy tracing approach.术前超声造影联合淋巴结内注射亚甲蓝用于前哨淋巴结识别：一种微创前哨淋巴结活检示踪方法。
Eur Radiol. 2025 Aug 21. doi: 10.1007/s00330-025-11932-3.

本文引用的文献

1
Ultrasound-based radiomics nomogram for predicting axillary lymph node metastasis in early-stage breast cancer.基于超声的放射组学列线图预测早期乳腺癌腋窝淋巴结转移
Radiol Med. 2024 Feb;129(2):211-221. doi: 10.1007/s11547-024-01768-0. Epub 2024 Jan 27.
2
A multivariable model of ultrasound and clinicopathological features for predicting axillary nodal burden of breast cancer: potential to prevent unnecessary axillary lymph node dissection.用于预测乳腺癌腋窝淋巴结负担的超声和临床病理特征的多变量模型：有潜力预防不必要的腋窝淋巴结清扫术。
BMC Cancer. 2023 Dec 21;23(1):1264. doi: 10.1186/s12885-023-11751-z.
3
Molybdenum target mammography-based prediction model for metastasis of axillary sentinel lymph node in early-stage breast cancer.
钼靶乳腺摄影预测早期乳腺癌腋窝前哨淋巴结转移的模型。
Medicine (Baltimore). 2023 Oct 20;102(42):e35672. doi: 10.1097/MD.0000000000035672.
4
Deep learning-based multiomics integration model for predicting axillary lymph node metastasis in breast cancer.基于深度学习的多组学整合模型预测乳腺癌腋窝淋巴结转移。
Future Oncol. 2023 Jun;19(20):1429-1438. doi: 10.2217/fon-2023-0070. Epub 2023 Jul 25.
5
Noninvasive prediction of node-positive breast cancer response to presurgical neoadjuvant chemotherapy therapy based on machine learning of axillary lymph node ultrasound.基于腋窝淋巴结超声机器学习的非侵入性预测新辅助化疗治疗前阳性淋巴结乳腺癌的反应。
J Transl Med. 2023 May 21;21(1):337. doi: 10.1186/s12967-023-04201-8.
6
Prediction of Axillary Lymph Node Metastatic Load of Breast Cancer Based on Ultrasound Deep Learning Radiomics Nomogram.基于超声深度学习放射组学列线图预测乳腺癌腋窝淋巴结转移负荷。
Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338231166218. doi: 10.1177/15330338231166218.
7
Cancer statistics, 2023.癌症统计数据，2023 年。
CA Cancer J Clin. 2023 Jan;73(1):17-48. doi: 10.3322/caac.21763.
8
Breast Cancer Statistics, 2022.2022 年乳腺癌统计数据。
CA Cancer J Clin. 2022 Nov;72(6):524-541. doi: 10.3322/caac.21754. Epub 2022 Oct 3.
9
False Negative Rate of Sentinel Lymph Node Biopsy on Intraoperative Frozen Section in Early Breast Cancer Patients: An Institutional Experience.早期乳腺癌患者术中冰冻切片前哨淋巴结活检的假阴性率：一项机构经验
Indian J Surg Oncol. 2022 Jun;13(2):312-315. doi: 10.1007/s13193-021-01458-7. Epub 2021 Oct 5.
10
Dynamic contrast-enhanced MRI radiomics nomogram for predicting axillary lymph node metastasis in breast cancer.动态对比增强 MRI 放射组学列线图预测乳腺癌腋窝淋巴结转移。
Cancer Imaging. 2022 Apr 4;22(1):17. doi: 10.1186/s40644-022-00450-w.