Radiologic-Pathologic Correlation of Primary Retroperitoneal Neoplasms

医学 下腔静脉 软组织 放射科 介绍(产科) 磁共振成像 鉴别诊断 病理
作者
Khalid Al‐Dasuqi,Lina Irshaid,Mahan Mathur
出处
期刊:Radiographics [Radiological Society of North America]
卷期号:40 (6): 1631-1657 被引量:38
标识
DOI:10.1148/rg.2020200015
摘要

Primary neoplasms that originate in the soft tissue of the retroperitoneum are rare, but they are often malignant and can grow to a substantial size at clinical presentation. Although imaging findings can be nonspecific, knowledge of some distinguishing imaging features and clinical and epidemiologic considerations can aid the radiologist in narrowing the differential diagnosis or, in some cases, providing a specific diagnosis. Some of the more important findings at cross-sectional imaging that can facilitate this assessment include tumor size and location (eg, presacral, paravertebral, or in the organ of Zuckerkandl); tissue composition (eg, fat, fibrous tissue, cystic components, or myxoid matrix), including assessment of the signal intensity of the lesion at T2-weighted MRI; degree of vascularization; and relationship to adjacent structures (ie, invasion of vascular structures such as the inferior vena cava). This assessment is further enhanced by an understanding of the gross and microscopic histologic appearances of these neoplasms. Primary solid retroperitoneal neoplasms are grouped and presented according to their primary soft-tissue element (eg, adipocytic, smooth muscle, fibroblastic, neurogenic, or skeletal muscle). Brief discussions of primary cystic retroperitoneal neoplasms and some miscellaneous neoplasms that do not fit into the aforementioned categories follow. An imaging algorithm to ensure a systematic approach to diagnosis of these lesions is also provided, which will allow the radiologist to provide more accurate interpretations for their referring providers, thus ensuring optimal patient treatment. Online DICOM image stacks and supplemental material are available for this article. ©RSNA, 2020 An earlier incorrect version of this article appeared in print. The online version is correct.
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
1秒前
清脆诗兰完成签到 ,获得积分10
2秒前
2秒前
hahaha完成签到,获得积分10
3秒前
YY完成签到,获得积分10
3秒前
Snowy完成签到,获得积分10
3秒前
3秒前
彭于晏应助xuyeqiao采纳,获得10
5秒前
5秒前
Lv完成签到,获得积分10
7秒前
秋作完成签到,获得积分10
7秒前
8秒前
冷艳的太君完成签到 ,获得积分10
8秒前
aaaa应助结实冰蓝采纳,获得10
9秒前
柴郡喵完成签到,获得积分10
9秒前
10秒前
忧伤的小天鹅完成签到 ,获得积分10
10秒前
如意的剑鬼完成签到,获得积分10
10秒前
105完成签到 ,获得积分0
11秒前
阿翼完成签到 ,获得积分10
11秒前
佳期如梦完成签到 ,获得积分10
12秒前
古月完成签到,获得积分10
12秒前
啊萌完成签到,获得积分10
13秒前
14秒前
Camellia完成签到 ,获得积分10
14秒前
杨涵完成签到 ,获得积分10
14秒前
15秒前
学者风范完成签到 ,获得积分10
16秒前
jiaojaioo完成签到,获得积分10
16秒前
哦哦完成签到,获得积分10
16秒前
不安的晓灵完成签到 ,获得积分10
17秒前
健壮的映秋完成签到,获得积分10
17秒前
仁爱的汉堡完成签到,获得积分10
18秒前
喜喜喜嘻嘻嘻完成签到 ,获得积分10
19秒前
坚强的安柏完成签到,获得积分10
19秒前
清新的易真完成签到,获得积分10
19秒前
fighting完成签到 ,获得积分10
19秒前
21秒前
21秒前
lhn完成签到 ,获得积分10
22秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
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 7290798
求助须知:如何正确求助?哪些是违规求助? 8909875
关于积分的说明 18857461
捐赠科研通 6958026
什么是DOI,文献DOI怎么找? 3209161
关于科研通互助平台的介绍 2378959
邀请新用户注册赠送积分活动 2184904