Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT

医学 霍恩斯菲尔德秤 接收机工作特性 乳腺癌 麦克内马尔试验 放射科 淋巴结 核医学 前哨淋巴结 四分位间距 置信区间 癌症 内科学 外科 计算机断层摄影术 统计 数学
作者
Xiang Zhang,Chushan Zheng,Zehong Yang,Ziliang Cheng,Heran Deng,Meiwei Chen,Xiaohui Duan,Jiaji Mao,Jun Shen
出处
期刊:Radiology [Radiological Society of North America]
卷期号:289 (2): 337-346 被引量:55
标识
DOI:10.1148/radiol.2018180544
摘要

Purpose To evaluate the diagnostic performance of quantitative parameters derived from dual-energy CT for the preoperative diagnosis of metastatic sentinel lymph nodes (SLNs) in participants with breast cancer. Materials and Methods For this prospective study, dual-phase contrast agent–enhanced CT was performed in female participants with breast cancer from June 2015 to December 2017. Quantitative dual-energy CT parameters and morphologic parameters were compared between metastatic and nonmetastatic SLNs. The quantitative parameters were fitted to univariable and multivariable logistic regression models. The diagnostic role of morphologic and quantitative parameters was analyzed by receiver operating characteristic curves and compared by using the McNemar test. Results This study included 193 female participants (mean age, 47.6 years ± 10.1; age range, 22–79 years). Quantitative dual-energy CT parameters including slope of the spectral Hounsfield unit curve (λHu) measured at both arterial and venous phases, normalized iodine concentration at both arterial and venous phase, and normalized effective atomic number at the venous phase were higher in metastatic than in nonmetastatic SLNs (P value range, ≤.001 to .031). Univariable and multivariable logistic regression analyses showed that venous phase λHu (in Hounsfield units per kiloelectron-volt) was the best single parameter for the detection of metastatic SLNs. The accuracy of the venous phase λHu for detecting metastatic SLNs was 90.5% on a per-lymph node basis and 87.0% on a per-patient basis. The accuracy and specificity at venous phase λHu was higher than their counterparts in the morphologic parameters (P < .001). Conclusion Dual-energy CT is a complementary means for the preoperative identification of sentinel lymph nodes metastases in participants with breast cancer. © RSNA, 2018 Online supplemental material is available for this article.
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
小蘑菇应助科研通管家采纳,获得10
1秒前
1秒前
共享精神应助科研通管家采纳,获得10
1秒前
1秒前
随便起个名完成签到,获得积分10
1秒前
pluto_发布了新的文献求助10
2秒前
HEAUBOOK完成签到,获得积分10
3秒前
3秒前
科研通AI2S应助积极的中蓝采纳,获得10
3秒前
Passionfruit发布了新的文献求助10
3秒前
¥#¥-11完成签到,获得积分10
4秒前
大气的山彤完成签到,获得积分10
6秒前
小冯完成签到,获得积分10
7秒前
爆米花应助仗炮由纪采纳,获得10
7秒前
8秒前
喜悦香萱发布了新的文献求助10
8秒前
小杨完成签到,获得积分10
10秒前
学术牛马完成签到,获得积分10
12秒前
12秒前
zhangjw完成签到 ,获得积分10
13秒前
13秒前
14秒前
15秒前
诸南烟发布了新的文献求助30
15秒前
小燕子完成签到,获得积分10
15秒前
Mississippiecho完成签到,获得积分10
16秒前
17秒前
JamesPei应助SPULY采纳,获得10
19秒前
20秒前
贺小刚发布了新的文献求助10
20秒前
21秒前
子车谷波完成签到,获得积分10
22秒前
zho发布了新的文献求助10
24秒前
不吃芹菜完成签到,获得积分10
25秒前
SPULY完成签到,获得积分10
25秒前
HuanChen完成签到,获得积分10
27秒前
腾腾腾发布了新的文献求助10
27秒前
AHR完成签到,获得积分10
28秒前
lyy完成签到 ,获得积分10
29秒前
hinatazaka46完成签到 ,获得积分10
30秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Computational Atomic Physics for Kilonova Ejecta and Astrophysical Plasmas 500
Technologies supporting mass customization of apparel: A pilot project 450
Brain and Heart The Triumphs and Struggles of a Pediatric Neurosurgeon 400
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
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 3782796
求助须知:如何正确求助?哪些是违规求助? 3328174
关于积分的说明 10234921
捐赠科研通 3043175
什么是DOI,文献DOI怎么找? 1670456
邀请新用户注册赠送积分活动 799718
科研通“疑难数据库(出版商)”最低求助积分说明 758998