The T stage of esophageal cancer can be effectively predicted by muscularis propria thickness and muscularis propria + mucosa thickness under ultrasonic gastroscopy-Reference-Cited by-同舟云学术

The T stage of esophageal cancer can be effectively predicted by muscularis propria thickness and muscularis propria + mucosa thickness under ultrasonic gastroscopy

Published:2022-11-15 Issue:2 Volume:14 Page:127-134
ISSN:1759-7706
Container-title:Thoracic Cancer
language:en
Short-container-title:Thoracic Cancer

Author:

Yu Yongkui¹,Wei Xiufeng²,Chen Xiankai³,Li Haomiao¹,Liu Qi¹,Sun Haibo¹,Wang Wei¹,Wang Lifeng⁴,Li Yin³^ORCID,Xing Wenqun¹^ORCID

Affiliation:

1. Department of Thoracic Surgery The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital Zhengzhou China

2. Department of Thoracic Surgery Beijing Chui Yang Liu Hospital Beijing China

3. Department of Thoracic Surgery Cancer Hospital of the Chinese Academy of Medical Sciences Beijing China

4. Radiology Department The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital Zhengzhou China

Publisher

Wiley

Subject

Pulmonary and Respiratory Medicine,Oncology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1759-7714.14722

Reference15 articles.

1. Preoperative Chemoradiotherapy for Esophageal or Junctional Cancer

2. Neoadjuvant Chemoradiotherapy Followed by Surgery Versus Surgery Alone for Locally Advanced Squamous Cell Carcinoma of the Esophagus (NEOCRTEC5010): A Phase III Multicenter, Randomized, Open-Label Clinical Trial

3. Neoadjuvant chemoradiotherapy plus surgery versus surgery alone for oesophageal or junctional cancer (CROSS): long-term results of a randomised controlled trial

4. Surgery alone versus chemoradiotherapy followed by surgery for resectable cancer of the oesophagus: a randomised controlled phase III trial

5. Survival benefits from neoadjuvant chemoradiotherapy or chemotherapy in oesophageal carcinoma: a meta-analysis

Cited by 2 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. Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach;BMC Medical Informatics and Decision Making;2024-01-02

2. Collaborative multidisciplinary management and expertise of cT2–3 locally advanced operable esophageal squamous cell carcinoma: a report of two cases;Journal of Thoracic Disease;2023-11