ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

Published:2023-09-20 Issue:13 Volume:30 Page:8282-8283
ISSN:1068-9265
Container-title:Annals of Surgical Oncology
language:en
Short-container-title:Ann Surg Oncol

Author:

Li Kunwei,Zhang Shuaitong,Shan Hong

Funder

Department of Science and Technology of Guangdong Province to the Guangdong Provincial Key Laboratory of Biomedical Imaging

National Natural Science Foundation of China

Medical Research Foundation of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Surgery

Link

https://link.springer.com/content/pdf/10.1245/s10434-023-14299-1.pdf

Reference5 articles.

1. Naik KB, Liu Y, Goodman M, et al. Concurrent chemoradiotherapy with or without surgery for patients with resectable esophageal cancer: an analysis of the National Cancer Data Base. Cancer. 2017;123(18):3476–85. https://doi.org/10.1002/cncr.30763.

2. Hu Y, Xie C, Yang H, et al. Assessment of intratumoral and peritumoral computed tomography radiomics for predicting pathological complete response to neoadjuvant chemoradiation in patients with esophageal squamous cell carcinoma. JAMA Netw Open. 2020;3(9):e2015927. https://doi.org/10.1001/jamanetworkopen.2020.15927.

3. Zhang S, Mu W, Dong D, et al. The applications of artificial intelligence in digestive system neoplasms: a review. Health Data Sci. 2023;27(3):0005. https://doi.org/10.34133/hds.0005.

4. Li K, Zhang S, Hu Y, et al. Radiomics nomogram with added nodal features improves treatment response prediction in locally advanced esophageal squamous cell carcinoma: a multicentre study. Ann Surg Oncol. 2023. https://doi.org/10.1245/s10434-023-14253-1.

5. Liu Z, Duan T, Zhang Y, et al. Radiogenomics: a key component of precision cancer medicine. Br J Cancer. 2023;129(5):741–53. https://doi.org/10.1038/s41416-023-02317-8.

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