Artificial neural network models to predict nodal status in clinically node-negative breast cancer-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Artificial neural network models to predict nodal status in clinically node-negative breast cancer

Published:2019-06-21 Issue:1 Volume:19 Page:
ISSN:1471-2407
Container-title:BMC Cancer
language:en
Short-container-title:BMC Cancer

Author:

Dihge Looket,Ohlsson Mattias,Edén Patrik,Bendahl Pär-Ola,Rydén Lisa

Funder

The Swedish Breast Cancer Organization

Skåne County Council's Research and Development Foundation

The Governmental Funding of Clinical Research within the National Health Service

The Erling-Persson Family Foundation

The Strategic Centre for Translational Cancer Research-CREATE Health

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

Link

http://link.springer.com/content/pdf/10.1186/s12885-019-5827-6.pdf

Reference50 articles.

1. Giuliano AE, Kirgan DM, Guenther JM, Morton DL. Lymphatic mapping and sentinel lymphadenectomy for breast cancer. Ann Surg. 1994;220:391–8.

2. Kim T, Giuliano AE, Lyman GH. Lymphatic mapping and sentinel lymph node biopsy in early-stage breast carcinoma: a metaanalysis. Cancer. 2006;106:4–16.

3. Gentilini O, Veronesi U. Abandoning sentinel lymph node biopsy in early breast cancer? A new trial in progress at the European Institute of Oncology of Milan (SOUND: sentinel node vs observation after axillary UltraSouND). Breast. 2012;21:678–81.

4. Giuliano AE, Hunt KK, Ballman KV, Beitsch PD, Whitworth PW, Blumencranz PW, et al. Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial. JAMA. 2011;305:569–75.

5. Giuliano AE, Ballman KV, McCall L, Beitsch PD, Brennan MB, Kelemen PR, et al. Effect of axillary dissection vs no axillary dissection on 10-year overall survival among women with invasive breast cancer and sentinel node metastasis: the ACOSOG Z0011 (Alliance) randomized clinical trial. JAMA. 2017;318:918–26.

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Preoperative prediction of nodal status using clinical data and artificial intelligence derived mammogram features enabling abstention of sentinel lymph node biopsy in breast cancer;Frontiers in Oncology;2024-07-10

2. Breast Cancer Subtype Prediction Model Employing Artificial Neural Network and 18F-Fluorodeoxyglucose Positron Emission Tomography/ Computed Tomography;Journal of Medical Physics;2024-04

3. Risk factor analysis and prediction model construction for surgical patients with venous thromboembolism: A prospective study;Interdisciplinary Nursing Research;2024-01-30

4. Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750);BMC Cancer;2024-01-16

5. Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development;JMIR Cancer;2023-11-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3