MRI Features of Pelvic Nerve Involvement in Endometriosis

医学 子宫内膜异位症 骨盆 盆腔疼痛 腰骶丛 放射科 腰骶关节 解剖 病理
作者
Ceylan Çolak,Luciana Pardini Chamié,Jonathan Youngner,Michael C. Forney,Miguel A. Luna Russo,Ashley Gubbels,Wendaline M. VanBuren,Myra Feldman
出处
期刊:Radiographics [Radiological Society of North America]
卷期号:44 (1) 被引量:5
标识
DOI:10.1148/rg.230106
摘要

Endometriosis is a common condition that mostly affects people assigned as female at birth. The most common clinical symptom of endometriosis is pain. Although the mechanism for this pain is poorly understood, in some cases, the nerves are directly involved in endometriosis. Endometriosis is a multifocal disease, and the pelvis is the most common location involved. Nerves in the pelvis can become entrapped and involved in endometriosis. Pelvic nerves are visible at pelvic MRI, especially when imaging planes and sequences are tailored for neural evaluation. In particular, high-spatial-resolution anatomic imaging including three-dimensional isotropic imaging and contrast-enhanced three-dimensional short inversion time inversion-recovery (STIR) fast spin-echo sequences are useful for nerve imaging. The most commonly involved nerves are the sciatic, obturator, femoral, pudendal, and inferior hypogastric nerves and the inferior hypogastric and lumbosacral plexuses. Although it is thought to be rare, the true incidence of nerve involvement in endometriosis is not known. Symptoms of neural involvement include pain, weakness, numbness, incontinence, and paraplegia and may be constant or cyclic (catamenial). Early diagnosis of neural involvement in endometriosis is important to prevent irreversible nerve damage and chronic sensorimotor neuropathy. Evidence of irreversible damage can also be seen at MRI, and radiologists should evaluate pelvic nerves that are commonly involved in endometriosis in their search pattern and report template to ensure that this information is incorporated into treatment planning. © RSNA, 2024 Test Your Knowledge questions are available in the Online Learning Center.
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
NexusExplorer应助认真的康采纳,获得10
刚刚
1秒前
隐形曼青应助c57采纳,获得10
2秒前
李团长应助别逼我求您采纳,获得30
2秒前
2秒前
李健的小迷弟应助zzzz采纳,获得10
2秒前
科研通AI6.4应助孙药师采纳,获得10
2秒前
3秒前
haha完成签到,获得积分10
3秒前
轻蹈云巅完成签到,获得积分10
4秒前
汉堡包应助会飞的猪采纳,获得10
4秒前
4秒前
科研通AI6.4应助雪白紫夏采纳,获得50
5秒前
xern完成签到,获得积分10
6秒前
14999发布了新的文献求助10
6秒前
赖皮狗发布了新的文献求助10
7秒前
初景应助Lemon采纳,获得20
7秒前
傅礼貌发布了新的文献求助10
8秒前
淡定青槐完成签到 ,获得积分10
9秒前
GUO发布了新的文献求助10
11秒前
段YY发布了新的文献求助30
11秒前
11秒前
风起发布了新的文献求助10
12秒前
really_1896发布了新的文献求助10
12秒前
科研通AI6.4应助高贵烧鹅采纳,获得10
12秒前
13秒前
Carys完成签到,获得积分10
13秒前
13秒前
陈啦啦应助小猪采纳,获得10
13秒前
14秒前
14秒前
芊芊完成签到,获得积分10
15秒前
15秒前
害怕的枫叶完成签到,获得积分10
16秒前
zzzz发布了新的文献求助10
17秒前
18秒前
Lucas应助cz采纳,获得10
19秒前
ZLL发布了新的文献求助10
20秒前
20秒前
21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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 7399131
求助须知:如何正确求助?哪些是违规求助? 9004414
关于积分的说明 19168918
捐赠科研通 7034056
什么是DOI,文献DOI怎么找? 3230742
关于科研通互助平台的介绍 2392910
邀请新用户注册赠送积分活动 2212513