The Node Reporting and Data System (Node-RADS) for standardized MRI evaluation of lymph nodes in endometrial cancer, integrated with clinicopathological and molecular data

医学 子宫内膜癌 淋巴结 节点(物理) 癌症 放射科 肿瘤科 病理 内科学 结构工程 工程类
作者
Riccardi Sandrine,Ninkova Roberta Valerieva,C. Alessandro,C Federica,G. De Marco,M Drozd Valentina,Cupertino Angelica,C. Claudia,Di Donato Violante,Angelina Pernazza,Rizzo Stefania Maria Rita,Valeria Pergola,Carlo Catalano,Lucia Manganaro
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:187: 112079-112079 被引量:5
标识
DOI:10.1016/j.ejrad.2025.112079
摘要

To evaluate the diagnostic performance of Node-RADS score using magnetic resonance imaging (MRI) in predicting lymph node involvement (LNI) in patients with endometrial cancer (EC). Additionally, the applicability of the Node-RADS score was evaluated by three readers with different levels of experience in pelvic imaging. Finally, this study investigated the correlation between the Node-RADS score and the extent of myometrial invasion, histological type, lympho vascular invasion (LVI) and molecular subtype. Out of 108 cases, 82 patients with histologically confirmed locally advanced EC met the inclusion criteria for retrospective analysis. LNI risk was assessed for each pelvic lymph node station using a Node-RADS score (1-5). Diagnostic accuracy was determined by comparing scores to histologic findings, considered as the gold standard. Three independent readers with different experience levels assigned scores. The Node-RADS score strongly correlated with histologically confirmed LNI (AUC: 0.832). A cutoff of Node-RADS ≥ 3 optimally detected metastatic lymph nodes, with 85.71 % sensitivity and 76.47 % specificity. Interobserver agreement was high, with κ values of 0.86 (senior vs. junior reader 1) and 0.70 (senior vs. junior reader 2). A significant positive correlation was found between Node-RADS score and myometrial invasion as well as LVI. Node-RADS score is a reliable, standardized tool for assessing LN stations and enhancing diagnostic accuracy in locoregional staging of EC.
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
mu发布了新的文献求助10
1秒前
Hao发布了新的文献求助10
1秒前
2秒前
夏日阳光完成签到,获得积分10
2秒前
宝宝发布了新的文献求助10
2秒前
领导范儿应助王彦霖采纳,获得10
3秒前
3秒前
科研小虫完成签到,获得积分10
3秒前
勤奋伟泽发布了新的文献求助20
3秒前
zeng发布了新的文献求助10
3秒前
竹青应助阔达的沛文采纳,获得10
3秒前
蹦蹦完成签到,获得积分10
4秒前
amao12138发布了新的文献求助10
4秒前
yhyhyhyh发布了新的文献求助10
4秒前
麦麦完成签到,获得积分10
5秒前
W1ndyKnight完成签到,获得积分10
5秒前
荀中道完成签到,获得积分20
6秒前
英姑应助Copyright采纳,获得50
7秒前
7秒前
大模型应助优雅擎采纳,获得10
7秒前
科研通AI6.4应助yuwan采纳,获得10
8秒前
蓝不蓝完成签到,获得积分10
8秒前
务实寻真完成签到,获得积分10
8秒前
Suzi完成签到 ,获得积分10
9秒前
9秒前
ssssss发布了新的文献求助10
9秒前
香蕉觅云应助xiaochong采纳,获得10
9秒前
豹豹完成签到,获得积分10
10秒前
优雅擎完成签到,获得积分10
11秒前
无敌小汐完成签到,获得积分10
11秒前
一一发布了新的文献求助10
11秒前
12秒前
勤勤的新星完成签到,获得积分10
12秒前
情怀应助愿518采纳,获得20
12秒前
我是老大应助Hao采纳,获得10
12秒前
科研通AI6.4应助愿518采纳,获得10
12秒前
linciko完成签到,获得积分20
13秒前
14秒前
14秒前
Bash发布了新的文献求助10
15秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Tanning Chemistry: The Science of Leather (2nd Edition) 2000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
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 7259721
求助须知:如何正确求助?哪些是违规求助? 8881602
关于积分的说明 18766731
捐赠科研通 6939777
什么是DOI,文献DOI怎么找? 3201652
关于科研通互助平台的介绍 2375437
邀请新用户注册赠送积分活动 2177391