Factors Contributing to Successful Transvenous Retrograde Thoracic Duct Cannulation

医学 胸导管 导管 单变量分析 放射科 导管(解剖学) 外科 多元分析 内科学 淋巴系统 病理
作者
Hyeongchun Kim,Dongho Hyun,Sung Wook Shin,Gu-Seong Jeong,Jungon Kim,Jong Ho Cho,Ho Yun Lee,Yun-Jeong Jang
出处
期刊:Journal of Vascular and Interventional Radiology [Elsevier BV]
卷期号:34 (2): 205-211 被引量:1
标识
DOI:10.1016/j.jvir.2022.10.037
摘要

To identify key factors for successful transvenous retrograde cannulation (TVRC) of the thoracic duct.A total of 47 consecutive patients (62.1 ± 13.2 years; 32 men) who underwent attempted TVRC between July 2016 and July 2021 were included. Reasons for interventions were chylous leakage from the chest (n = 36), abdomen (n = 6), and other sites (n = 5). Patient age, sex, access vein (femoral vs brachial), anatomic classification (presence of dominant channel vs plexiform) of the terminal thoracic duct, and engagement of a diagnostic catheter into the jugulovenous junction were included in the analyses. Anatomic details were evaluated according to catheter-based high-pressure lymphangiography and conventional intranodal lymphangiography. The Firth bias-reduced penalized-likelihood logistic regression model was used to analyze prognostic factors.TVRC was successful in 33 of the 47 patients (70%). In univariate analysis, femoral access, diagnostic catheter engagement, and presence of dominant channel were significant positive prognostic factors (P <.05). In multivariate analysis, diagnostic catheter engagement and presence of dominant channel were significant prognostic factors (P <.05). Diagnostic catheter engagement showed the highest prognostic performance (accuracy = 0.872), followed by presence of a dominant channel. High-pressure catheter-based lymphangiographic findings showed better performance (accuracy, 0.844 vs 0.727) than intranodal lymphangiography to delineate the anatomy of the terminal thoracic duct.A secure selection of the jugulovenous junction and the presence of a dominant channel in the terminal portion of the thoracic duct were significant prognostic factors for successful TVRC.

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
Kkkkkk发布了新的文献求助10
刚刚
在水一方应助舒适电源采纳,获得10
1秒前
陈秋迎完成签到,获得积分10
1秒前
Jasper应助panyanjun采纳,获得10
2秒前
Lucas应助panyanjun采纳,获得10
2秒前
披着羊皮的狼应助pei采纳,获得10
2秒前
FashionBoy应助panyanjun采纳,获得10
2秒前
科研通AI6.3应助panyanjun采纳,获得10
2秒前
大个应助panyanjun采纳,获得10
2秒前
科研通AI6.1应助panyanjun采纳,获得10
2秒前
酷波er应助panyanjun采纳,获得10
3秒前
3秒前
科研通AI6.1应助panyanjun采纳,获得10
3秒前
科研通AI6.2应助panyanjun采纳,获得10
3秒前
3秒前
3秒前
4秒前
4秒前
5秒前
科研通AI6.4应助友好寻真采纳,获得30
5秒前
初景发布了新的文献求助30
5秒前
5秒前
shenlan发布了新的文献求助10
6秒前
研友_VZG7GZ应助认真的鞅采纳,获得10
7秒前
7秒前
完美世界应助彩色的若魔采纳,获得10
8秒前
qsq发布了新的文献求助10
8秒前
8秒前
欢喜的映安完成签到,获得积分10
8秒前
CipherSage应助Gabi采纳,获得10
9秒前
10秒前
wjxcl发布了新的文献求助10
10秒前
喜悦的鬼神完成签到 ,获得积分0
10秒前
光亮雪晴发布了新的文献求助10
10秒前
10秒前
啊这发布了新的文献求助100
11秒前
123456789发布了新的文献求助10
11秒前
简单发布了新的文献求助10
12秒前
KeYi01完成签到,获得积分10
12秒前
欢呼凡之发布了新的文献求助10
15秒前
高分求助中
Cronologia da história de Macau 5000
Matrix Methods in Data Mining and Pattern Recognition 510
C语言程序设计(微课版) 500
Interactions of Vowel Quality and Prosody in East Slavic 500
Vander's Renal Physiology第10版 500
Forensic Science An Introduction to Scientific and Investigative Techniques 6th Edition 400
Reaction of 3-Methylenedihydro-(3H)furan-2-one with Diazoalkanes. Syntheses and Crystal Structures of Spiranic Cyclopropyl Compounds 400
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 7095807
求助须知:如何正确求助?哪些是违规求助? 8752285
关于积分的说明 18511953
捐赠科研通 6649402
什么是DOI,文献DOI怎么找? 3137764
关于科研通互助平台的介绍 2246035
邀请新用户注册赠送积分活动 2112581