Mapping of Lymph Node Metastasis From Thoracic Esophageal Cancer: A Retrospective Study

医学 食管切除术 食管癌 解剖(医学) 回顾性队列研究 转移 淋巴结 新辅助治疗 外科肿瘤学 食管肿瘤 存活率 外科 癌症 放射科 内科学 乳腺癌
作者
Yafan Yang,Yin Li,Jianjun Qin,Ruixiang Zhang,Xiankai Chen,Jie He,Shugeng Gao
出处
期刊:Annals of Surgical Oncology [Springer Science+Business Media]
卷期号:29 (9): 5681-5688 被引量:12
标识
DOI:10.1245/s10434-022-11867-9
摘要

This retrospective study was designed to investigate the optimal extent of dissection for thoracic esophageal cancer (EC) based on the incidence of lymph node metastasis (LNM).We retrospectively identified 1014 patients with thoracic esophageal carcinoma who underwent esophagectomy at our institution between May 2018 and November 2020. Also, the location and rate of LNM in relation to the postoperative pathological results were retrieved. We separately counted the metastasis rates of routinely excised lymph node stations according to the Japan Esophageal Society (JES) staging system.A total of 1666 consecutive patients were screened, and 1014 were enrolled. Generally, the rates of LNM in thoracic EC may be arranged in the descending order of station 7 > station 106recR > station 2 > station 106recL. Esophageal cancer in the middle and lower thoracic segment also had a high rate of LNM along bilateral recurrent laryngeal nerve. Stations 106tbL and 111 were the lowest frequent sites of metastasis with rate less than 5%; only the patients with clinically positive LNs need to dissect. The cT3-4, cN+, or G3 were independent risk factors for LNM and neoadjuvant therapy did not change the distribution of LNM for thoracic EC cases.This study accurately identified the distribution of LNM for thoracic EC patients. Neoadjuvant therapy could not change the overall distribution of LNM in thoracic EC patients. However, whether LNs dissection at stations 106tbL and 111 is related to the survival of thoracic EC or not, needs a long follow-up time to verify.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
香蕉觅云应助小吴同志采纳,获得10
刚刚
yang发布了新的文献求助10
1秒前
1秒前
beiest发布了新的文献求助10
1秒前
2秒前
2秒前
李木子发布了新的文献求助10
3秒前
Zayro完成签到,获得积分10
3秒前
4秒前
zanton发布了新的文献求助10
4秒前
aaronpancn发布了新的文献求助10
4秒前
lulu123发布了新的文献求助10
5秒前
kjlee完成签到,获得积分0
5秒前
1680Y发布了新的文献求助10
5秒前
hihi发布了新的文献求助10
7秒前
tyy发布了新的文献求助20
8秒前
英勇雅琴发布了新的文献求助10
8秒前
lsy发布了新的文献求助10
8秒前
yn发布了新的文献求助10
9秒前
YU发布了新的文献求助10
10秒前
10秒前
香蕉觅云应助yang采纳,获得10
11秒前
12秒前
13秒前
zhongu应助隐形夜人采纳,获得10
13秒前
充电宝应助观山采纳,获得30
13秒前
Fiona完成签到,获得积分10
13秒前
研友_VZG7GZ应助美丽的宝马采纳,获得10
13秒前
14秒前
追寻迎蓉发布了新的文献求助10
15秒前
我是老大应助皇马不是马采纳,获得10
15秒前
英勇雅琴完成签到,获得积分10
16秒前
16秒前
zz发布了新的文献求助10
17秒前
和谐板栗发布了新的文献求助30
17秒前
迷路曼雁完成签到,获得积分10
17秒前
槐夏2466完成签到,获得积分10
18秒前
18秒前
20秒前
段ddd完成签到 ,获得积分10
20秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 666
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3734838
求助须知:如何正确求助?哪些是违规求助? 3278737
关于积分的说明 10011382
捐赠科研通 2995434
什么是DOI,文献DOI怎么找? 1643431
邀请新用户注册赠送积分活动 781171
科研通“疑难数据库(出版商)”最低求助积分说明 749290