MRI features of responsible contacts in vascular compressive trigeminal neuralgia and prediction modeling

医学 三叉神经痛 接收机工作特性 神经血管束 分级(工程) 磁共振成像 逻辑回归 三叉神经 放射科 曲线下面积 外科 内科学 工程类 土木工程
作者
Yufei Zhao,Jianhua Chen,Rifeng Jiang,Xue Xu,Lin Lin,Yunjing Xue,Qing Duan
出处
期刊:Acta Radiologica [SAGE Publishing]
卷期号:63 (1): 100-109 被引量:7
标识
DOI:10.1177/0284185120983971
摘要

Multiple neurovascular contacts in patients with vascular compressive trigeminal neuralgia often challenge the diagnosis of responsible contacts.To analyze the magnetic resonance imaging (MRI) features of responsible contacts and establish a predictive model to accurately pinpoint the responsible contacts.Sixty-seven patients with unilateral trigeminal neuralgia were enrolled. A total of 153 definite contacts (45 responsible, 108 non-responsible) were analyzed for their MRI characteristics, including neurovascular compression (NVC) grading, distance from pons to contact (Dpons-contact), vascular origin of compressing vessels, diameter of vessel (Dvessel) and trigeminal nerve (Dtrigeminal nerve) at contact. The MRI characteristics of the responsible and non-responsible contacts were compared, and their diagnostic efficiencies were further evaluated using a receiver operating characteristic (ROC) curve. The significant MRI features were incorporated into the logistics regression analysis to build a predictive model for responsible contacts.Compared with non-responsible contacts, NVC grading and arterial compression ratio (84.44%) were significantly higher, Dpons-contact was significantly lower at responsible contacts (P < 0.001, 0.002, and 0.033, respectively). NVC grading had a highest diagnostic area under the ROC curve (AUC) of 0.742, with a sensitivity of 64.44% and specificity of 75.00%. The logistic regression model showed a higher diagnostic efficiency, with an AUC of 0.808, sensitivity of 88.89%, and specificity of 62.04%.Contact degree and position are important MRI features in identifying the responsible contacts of the trigeminal neuralgia. The logistic predictive model based on Dpons-contact, NVC grading, and vascular origin can qualitatively improve the prediction of responsible contacts for radiologists.

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
阿白完成签到 ,获得积分10
4秒前
MM完成签到 ,获得积分10
5秒前
Hase完成签到 ,获得积分10
7秒前
青青河边草完成签到,获得积分10
8秒前
GankhuyagJavzan完成签到,获得积分10
9秒前
17秒前
5易6完成签到 ,获得积分10
17秒前
dde发布了新的文献求助10
21秒前
123完成签到 ,获得积分10
22秒前
磁吸计划完成签到 ,获得积分10
22秒前
brebre完成签到 ,获得积分10
24秒前
WSY完成签到 ,获得积分10
24秒前
幸福妙柏完成签到 ,获得积分10
24秒前
cnkly完成签到,获得积分10
26秒前
求知小生完成签到 ,获得积分0
28秒前
Twila完成签到 ,获得积分10
31秒前
失眠世平完成签到 ,获得积分10
32秒前
Coolkid2001完成签到,获得积分10
33秒前
包容的雨泽完成签到 ,获得积分10
43秒前
繁荣的凡完成签到 ,获得积分10
44秒前
你好完成签到 ,获得积分10
45秒前
momo完成签到 ,获得积分10
46秒前
ran完成签到 ,获得积分10
47秒前
Skyllne完成签到 ,获得积分10
47秒前
chunlily完成签到 ,获得积分10
50秒前
黑眼圈完成签到 ,获得积分10
51秒前
NMR完成签到,获得积分10
55秒前
Alvin完成签到 ,获得积分10
57秒前
精明寒松完成签到 ,获得积分10
1分钟前
今后应助无私的尔安采纳,获得10
1分钟前
yhtsyy完成签到 ,获得积分10
1分钟前
花誓lydia完成签到 ,获得积分10
1分钟前
陈补天完成签到,获得积分10
1分钟前
修仙中应助科研通管家采纳,获得10
1分钟前
纯真保温杯完成签到 ,获得积分10
1分钟前
汉堡包应助科研通管家采纳,获得10
1分钟前
修仙中应助科研通管家采纳,获得10
1分钟前
尼古拉斯完成签到,获得积分10
1分钟前
贪玩的网络完成签到 ,获得积分10
1分钟前
昴星引路完成签到 ,获得积分10
1分钟前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
政治传播过程中的外交与说服——以中苏友好协会为例的历史考察 566
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 7579447
求助须知:如何正确求助?哪些是违规求助? 9158945
关于积分的说明 19593157
捐赠科研通 7162169
什么是DOI,文献DOI怎么找? 3265695
关于科研通互助平台的介绍 2430692
邀请新用户注册赠送积分活动 2256497