MRI-detected residual retropharyngeal lymph node after intensity-modulated radiotherapy in nasopharyngeal carcinoma: Prognostic value and a nomogram for the pretherapy prediction of it

医学 队列 鼻咽癌 放射科 逻辑回归 列线图 放射治疗 肿瘤科 比例危险模型 核医学 淋巴结 内科学
作者
Wang‐Zhong Li,Guoying Liu,Lan-Feng Lin,Shu‐Hui Lv,Meng‐Yun Qiang,Xing Lv,Yi‐Shan Wu,Hu L,Liang‐Ru Ke,De‐Ling Wang,Ya‐Hui Yu,Wen‐Ze Qiu,Kui-Yuan Liu,Xiang Guo,Jianpeng Li,Yujian Zou,Yan‐Qun Xiang,Wei‐Xiong Xia
出处
期刊:Radiotherapy and Oncology [Elsevier BV]
卷期号:145: 101-108 被引量:19
标识
DOI:10.1016/j.radonc.2019.12.018
摘要

Background and purpose To evaluate the prognostic value of MRI-detected residual retropharyngeal lymph node (RRLN) at three months after intensity-modulated radiotherapy (IMRT) in patients with nasopharyngeal carcinoma (NPC) and second, to establish a nomogram for the pretherapy prediction of RRLN. Materials and methods We included 1103 patients with NPC from two hospitals (Sun Yat-Sen University Cancer Center [SYSUCC, n = 901] and Dongguan People's Hospital [DGPH, n = 202]). We evaluated the prognostic value of RRLN using Cox regression model in SYSUCC cohort. We developed a nomogram for the pretherapy prediction of RRLN using logistic regression model in SYSUCC training cohort (n = 645). We assessed the performance of this nomogram in an internal validation cohort (SYSUCC validation cohort, n = 256) and an external independent cohort (DGPH validation cohort, n = 202). Results RRLN was an independent prognostic factor for OS (HR 2.08, 95% CI 1.32–3.29), DFS (HR 2.45, 95% CI 1.75–3.42), DMFS (HR 3.31, 95% CI 2.15–5.09), and LRRFS (HR 3.04, 95% CI 1.70–5.42). We developed a nomogram based on baseline Epstein–Barr virus DNA level and three RLN status-related features (including minimum axial diameter, extracapsular nodal spread, and laterality) that predicted an individual's risk of RRLN. Our nomogram showed good discrimination in the training cohort (C-index = 0.763). The favorable performance of this nomogram was confirmed in the internal and external validation cohorts. Conclusion MRI-detected RRLN at three months after IMRT was an unfavorable prognostic factor for patients with NPC. We developed and validated an easy-to-use nomogram for the pretherapy prediction of RRLN.
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
刚刚
lig2发布了新的文献求助10
刚刚
刚刚
宇宙统治者完成签到,获得积分10
刚刚
MCS发布了新的文献求助10
刚刚
s1完成签到,获得积分10
刚刚
1秒前
sasa发布了新的文献求助10
1秒前
1秒前
赘婿应助CJ采纳,获得10
2秒前
dfswf发布了新的文献求助20
2秒前
quququ完成签到,获得积分10
2秒前
2秒前
2秒前
Bai完成签到,获得积分10
3秒前
GJJJJJJJ完成签到,获得积分10
3秒前
HANA发布了新的文献求助10
3秒前
WIK完成签到,获得积分10
4秒前
小海发布了新的文献求助10
5秒前
地平线之心完成签到,获得积分10
5秒前
5秒前
王德发关注了科研通微信公众号
6秒前
无私航空发布了新的文献求助20
6秒前
啦啦发布了新的文献求助10
6秒前
上官若男应助R18686226306采纳,获得10
7秒前
YJJ关注了科研通微信公众号
7秒前
ZZZ发布了新的文献求助10
7秒前
zhang111发布了新的文献求助10
7秒前
屎蛋完成签到,获得积分10
7秒前
CodeCraft应助失眠的夏柳采纳,获得10
7秒前
爆米花应助孙晓超采纳,获得10
7秒前
8秒前
8秒前
9秒前
9秒前
科研通AI6.4应助13344采纳,获得10
9秒前
Owen应助哈哈采纳,获得10
9秒前
啦啦啦啦啦完成签到 ,获得积分10
9秒前
睡洋洋完成签到,获得积分10
10秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7396436
求助须知:如何正确求助?哪些是违规求助? 9002462
关于积分的说明 19161905
捐赠科研通 7031842
什么是DOI,文献DOI怎么找? 3230042
关于科研通互助平台的介绍 2392478
邀请新用户注册赠送积分活动 2211830