Pathologic Conditions at Imaging of the Spermatic Cord.

医学 放射科 精索 限制 不育 模式
作者
Niloofar Karbasian,Nicole Segaran,Nadia Solomon,John S. Pellerito,Douglas S Katz,Mariam Moshiri,Margarita V. Revzin
出处
期刊:Radiographics [Radiological Society of North America]
卷期号:: 210161-210161
标识
DOI:10.1148/rg.210161
摘要

A wide range of benign and malignant processes can affect the spermatic cord (SC). Familiarity with and recognition of the characteristic imaging features of these entities are imperative for accurate diagnosis and optimal clinical care. While some SC diseases are self-limiting, others can result in infertility and potentially life-threatening infection or bleeding if they are left untreated. Therefore, correct diagnosis is important for life-saving treatment and preservation of fertility. Disorders including anomalies of the vas deferens and the processus vaginalis, arterial and venous diseases (torsion of the SC and varicoceles), infection, trauma, and neoplasms are the most pertinent entities with which radiologists should be familiar when assessing the SC. Knowing what to expect in a patient who has undergone SC interventions is imperative. US has a fundamental role in the initial examination of patients who present with symptoms that indicate abnormalities of the SC, such as suspected posttraumatic testicular retraction or SC torsion. Other imaging techniques including abdominal and pelvic MRI and CT have their own importance. For correct interpretation of the findings and to establish an accurate diagnosis, it is crucial to have a thorough knowledge of the anatomy, the utility and limitations of various imaging modalities, optimal imaging and scanning techniques, and the imaging features of various benign and malignant pathologic conditions that can involve the SC. Online supplemental material is available for this article.©RSNA, 2022.
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

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
万能图书馆应助五月采纳,获得10
1秒前
欢喜大地发布了新的文献求助10
1秒前
麋鹿完成签到,获得积分10
3秒前
白熊发布了新的文献求助10
3秒前
默默蓝发布了新的文献求助10
4秒前
钟于完成签到,获得积分10
5秒前
xuuyiyi发布了新的文献求助10
5秒前
李健应助还单身的电灯胆采纳,获得30
8秒前
钟于发布了新的文献求助10
8秒前
晓晓发布了新的文献求助10
9秒前
乐乐应助yangyang采纳,获得10
11秒前
快乐滑板应助xupt唐僧采纳,获得10
12秒前
13秒前
13秒前
crazyme发布了新的文献求助10
13秒前
13秒前
十七应助hr采纳,获得10
15秒前
sleet发布了新的文献求助20
16秒前
17秒前
17秒前
钟山发布了新的文献求助10
17秒前
李爱国应助xtt采纳,获得30
17秒前
18秒前
眼睛大白梦完成签到,获得积分10
19秒前
谨慎冷松发布了新的文献求助10
20秒前
琦琦发布了新的文献求助10
21秒前
研友_VZG7GZ应助路路采纳,获得10
21秒前
21秒前
victor完成签到,获得积分10
21秒前
完美世界应助医学耗材采纳,获得10
21秒前
清秀乘风完成签到,获得积分10
22秒前
23秒前
25秒前
yangyang发布了新的文献求助10
26秒前
27秒前
wowowww发布了新的文献求助10
28秒前
28秒前
28秒前
cocolu应助咪咪不吃糖采纳,获得20
29秒前
香菜完成签到 ,获得积分10
29秒前
高分求助中
Востребованный временем 2500
Les Mantodea de Guyane 1000
Very-high-order BVD Schemes Using β-variable THINC Method 970
Field Guide to Insects of South Africa 660
Foucault's Technologies Another Way of Cutting Reality 500
Forensic Chemistry 400
Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3392486
求助须知:如何正确求助?哪些是违规求助? 3003128
关于积分的说明 8807599
捐赠科研通 2689833
什么是DOI,文献DOI怎么找? 1473328
科研通“疑难数据库(出版商)”最低求助积分说明 681547
邀请新用户注册赠送积分活动 674351