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
斯文的飞雪完成签到,获得积分10
1秒前
Always完成签到,获得积分10
1秒前
1秒前
pd完成签到,获得积分10
2秒前
三水完成签到,获得积分10
2秒前
2秒前
you发布了新的文献求助10
4秒前
SCINEXUS完成签到,获得积分0
6秒前
6秒前
伊酒应助LiLi采纳,获得10
6秒前
伊酒应助LiLi采纳,获得10
7秒前
科研通AI2S应助沉默乌采纳,获得10
7秒前
汉堡包应助xiangxing采纳,获得10
7秒前
zsy发布了新的文献求助10
7秒前
7秒前
英俊的铭应助秦艽采纳,获得10
7秒前
科研通AI6.4应助youkang采纳,获得10
8秒前
Math7发布了新的文献求助10
10秒前
10秒前
完美世界应助婳婳华华采纳,获得10
11秒前
空禅yew完成签到,获得积分10
11秒前
13秒前
13秒前
酷波er应助cher123456采纳,获得10
14秒前
机智的天宇完成签到,获得积分10
14秒前
谨慎青枫完成签到,获得积分10
14秒前
walkerwan完成签到,获得积分10
15秒前
可人完成签到 ,获得积分10
15秒前
keke完成签到,获得积分10
15秒前
寻梦完成签到,获得积分20
16秒前
Aythunder完成签到,获得积分10
17秒前
17秒前
zsy完成签到,获得积分10
17秒前
17秒前
18秒前
18秒前
WTX完成签到,获得积分10
18秒前
慕青应助苏满天采纳,获得10
18秒前
dengzhifeng完成签到 ,获得积分10
18秒前
lilily12376发布了新的文献求助10
19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
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Child and Adolescent Mental Health 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 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 7599873
求助须知:如何正确求助?哪些是违规求助? 9176017
关于积分的说明 19647553
捐赠科研通 7175874
什么是DOI,文献DOI怎么找? 3268524
关于科研通互助平台的介绍 2433035
邀请新用户注册赠送积分活动 2262082